kingers

5.48 GB | 15min 54s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : 1 - Introduction to PowerMill MultiAxis.mp4 (72.97 MB) 10 - Toolpath Connection Part2.mp4 (186.23 MB) 2 - Graphic user interface.mp4 (52.06 MB) 3 - Draft angle Shading Minimum Radius shading Measure.mp4 (136.59 MB) 4 - creating and editing Workplanes.mp4 (124.57 MB) 5 - Tool creation and Tool database.mp4 (142.84 MB) 6 - Block Setup.mp4 (279.24 MB) 7 - Boundaries Options.mp4 (280.29 MB) 8 - Boundaries types.mp4 (100.59 MB) 9 - Toolpath Connection Part1.mp4 (77.02 MB) 11 - 4 Axis Rotary finishing.mp4 (151.98 MB) 12 - How to create 4 axis post in powermill.mp4 (85.31 MB) 13 - 4AXIS Roughing Model Area Clearance.mp4 (228.1 MB) 14 - 4Axis flowling finishing.mp4 (127.93 MB) 15 - 4AXIS DRILLING.mp4 (141.54 MB) 16 - 4AXIS Line projection method.mp4 (102.23 MB) 17 - 4Axis Line projection Finishing from Line TOOLAxis.mp4 (60.38 MB) 18 - 4AXIS Profile finishing EN.mp4 (93.27 MB) 19 - 4AXISBLINE projection.mp4 (68.71 MB) 20 - 4Axis POINT Projection finishing.mp4 (42.79 MB) 21 - 4AXISSurface Projection Finishing.mp4 (98.77 MB) 22 - 4Axis Pattern finishing.mp4 (140.1 MB) 23 - 4Axis Wood working.mp4 (250.24 MB) 24 - Lead Lean Tool Axis.mp4 (49.11 MB) 25 - 32 DRILLING Tapping.mp4 (85.08 MB) 26 - 32Axis operation.mp4 (212.71 MB) 26 - 3plus2b-as-5axis.zip (527.82 KB) 27 - How to create 5 AXIS POST.mp4 (137.67 MB) 27 - MachineData.zip (69.23 MB) 28 - 5Axis Embedded Pattern finishing.mp4 (120.03 MB) 29 - AngledFrame.zip (353.67 KB) 29 - Fixed direction ToolAxis.mp4 (55.55 MB) 30 - 5 Axis Projection surface with reference surface.mp4 (204.39 MB) 30 - joint-5axismc.zip (25.3 KB) 31 - 5 Axis LeadLean Towards Point tool axis.mp4 (64.15 MB) 31 - joint-5axismc.zip (25.3 KB) 32 - 5 Ais SurfProjSpiral.mp4 (134.92 MB) 33 - 3plus2b-as-5axis.zip (527.82 KB) 33 - 5 Axis Plane projection.mp4 (102.67 MB) 34 - 5 Axis Pattern finishing.mp4 (115.99 MB) 35 - 5 Axis UnderCut EN part 1.mp4 (254.68 MB) 36 - 5 Axis UnderCut EN part 2.mp4 (99.13 MB) 37 - 5 Axis Impeller from curve ToolAxis.mp4 (136.12 MB) 38 - 5 Axis Embedded Pattern Finishing 1.mp4 (151.72 MB) 39 - 5 Axis Embedded Pattern Finishing Part 2.mp4 (75.2 MB) 40 - 5 Axis Port Area clearance.mp4 (101.25 MB) 40 - SinglePort2-Start.zip (162.9 KB) 41 - 5 Axis Port Area clearance EN part2.mp4 (104.73 MB) 42 - 3plus2b-as-5axis.zip (527.82 KB) 42 - 5 Axis swarf finishing.mp4 (30.39 MB) 43 - 5 Axis swarf Axial Radial thk.mp4 (51.73 MB) 43 - locnpad-5axismc.zip (126.28 KB) 44 - 5 Axis SWARF Wireframe swarf.mp4 (110.87 MB) 45 - 5 Axis Surface finishing ToolAxis Limits.mp4 (42.94 MB) 45 - locnpad-5axismc.zip (126.28 KB)] Screenshot AusFile https://ausfile.com/mtqpqe380ize https://ausfile.com/j9b1v0l9efjh https://ausfile.com/0ayxyix36pea https://ausfile.com/hmqxjyrb9vjr https://ausfile.com/g51ephx8ai4e https://ausfile.com/gzlm5c0xigg7 RapidGator https://rapidgator.net/file/d3e83fd501ed9f87991bdf49d49d2dbf/ https://rapidgator.net/file/58987d8060f5d6c4b51c0ffd8d9fb1e0/ https://rapidgator.net/file/91b529c7bf84cdf859adc859b0899ff2/ https://rapidgator.net/file/db214677f864767654fc6a7416e29fd5/ https://rapidgator.net/file/627d4c3edf3cb4d51ce1e9d3489d809e/ https://rapidgator.net/file/a33f02e1137519cabf562789f20e1289/

44.17 GB | 17min 50s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : 1 Welcome To The Course.mp4 (23.09 MB) 3 Download Unity & VS Code.mp4 (10.52 MB) 4 Introducing Unity.mp4 (80.01 MB) 5 Set Up VS Code.mp4 (28.12 MB) 6 Community & Support.mp4 (53.9 MB) 7 Accessing Our Projects.mp4 (36.33 MB) 1 Section Intro - Obstacle Dodge.mp4 (27.09 MB) 10 Understanding Methods.mp4 (75.15 MB) 11 Practicing With Methods.mp4 (53.06 MB) 12 Using OnCollisionEnter().mp4 (35.92 MB) 13 Using GetComponent().mp4 (45.3 MB) 14 Incrementing a Score.mp4 (63.44 MB) 15 Using Time time.mp4 (122.05 MB) 16 If Statements.mp4 (33.98 MB) 17 Caching A Reference.mp4 (76.28 MB) 18 Using Tags.mp4 (72.39 MB) 19 Rotate An Object.mp4 (119.65 MB) 2 Start() & Update().mp4 (129.87 MB) 20 Fly At Player.mp4 (111.95 MB) 21 Destroy Object.mp4 (40.38 MB) 22 Trigger Projectile.mp4 (106.72 MB) 23 Introducing Prefabs.mp4 (107.75 MB) 24 Unity Order of Execution.mp4 (47.49 MB) 25 Level Layout.mp4 (194.4 MB) 26 Add Hazards To Level.mp4 (147.47 MB) 27 Wrap Up - Obstacle Dodge.mp4 (38.43 MB) 3 Introducing Variables.mp4 (63.26 MB) 4 Using SerializeField.mp4 (77.02 MB) 5 C# Formatting.mp4 (28.17 MB) 6 Using Input GetAxis().mp4 (71.47 MB) 7 Time deltaTime.mp4 (43.87 MB) 8 Introducing Cinemachine.mp4 (77.77 MB) 9 Basic Collisions.mp4 (141.42 MB) 1 Section Intro - Rocket Boost.mp4 (33.03 MB) 10 10 RB UC3D4 Rocket Boost SFX.zip (237.47 KB) 10 Unity Audio Introduction.mp4 (70.83 MB) 11 Play AudioSource SFX.mp4 (88.72 MB) 12 Switch Statements.mp4 (100.7 MB) 13 Respawn Using SceneManager.mp4 (91.55 MB) 14 Load Next Scene.mp4 (73.78 MB) 15 Using Invoke().mp4 (143.08 MB) 16 Code Layout.mp4 (19.66 MB) 17 Multiple Audio Clips.mp4 (114.36 MB) 18 Bool Variable For State.mp4 (110.35 MB) 19 19 RB UC3D4 Introduction To Particles.zip (20.99 KB) 19 Intro To Particles.mp4 (244.48 MB) 2 2 RB UC3D4 GameDev tv Sci Fi Starter Assets.zip (2.09 MB) 2 Importing Assets.mp4 (171.81 MB) 20 Trigger Booster Particles.mp4 (139.5 MB) 21 Refactor Our Methods.mp4 (40.62 MB) 22 Respond To Debug Keys.mp4 (127.51 MB) 23 Assets & Colliders.mp4 (161.42 MB) 24 Create A Level Layout.mp4 (169.63 MB) 25 Quick Game Tuning.mp4 (43.98 MB) 26 Set Dressing Your Level.mp4 (254.88 MB) 27 Intro To Post Processing.mp4 (103.64 MB) 28 How To Add Lights In Unity.mp4 (310.79 MB) 29 A Quick Note About Prefabbing.mp4 (169.93 MB) 3 Namespaces & Classes.mp4 (93.37 MB) 30 Oscillating Object Script.mp4 (220.01 MB) 31 Quit Application Script.mp4 (37.1 MB) 32 Design Ideas.mp4 (97.96 MB) 33 How To Build & Share Your Game.mp4 (77.05 MB) 34 Wrap Up - Rocket Boost.mp4 (31.83 MB) 4 Using Input Actions.mp4 (43.97 MB) 5 Using AddRelativeForce().mp4 (137.55 MB) 6 Rotation Input.mp4 (84.83 MB) 7 Rotate The Rocket.mp4 (84.25 MB) 8 Cinemachine Follow Camera.mp4 (44.5 MB) 9 Rigidbody Tuning.mp4 (159.76 MB) 1 Section Intro - Galaxy Strike.mp4 (54.42 MB) 10 Mathf Clamp() Ship Movement.mp4 (109.64 MB) 11 Roll Our Ship.mp4 (118.5 MB) 12 Lerping Ship Rotation.mp4 (48.69 MB) 13 Rotating Pitch.mp4 (53.08 MB) 14 GDTV Particle Sprites.zip (11.7 KB) 14 Particle System Ship Laser.mp4 (254.8 MB) 15 Laser Fire Input.mp4 (147.22 MB) 16 C# Arrays & Foreach Loops.mp4 (87.15 MB) 17 Crosshair Rect Transform.mp4 (109.04 MB) 18 ScreenToWorldPoint Target.mp4 (94.97 MB) 19 Vector Arithmetic.mp4 (41.96 MB) 2 Using Terrain Tools.mp4 (137.65 MB) 20 Collision & Triggers.mp4 (74.64 MB) 21 Particle Collision.mp4 (39.49 MB) 22 Instantiate at Runtime.mp4 (162.05 MB) 23 Nested Prefabs & Prefab Variants.mp4 (269.29 MB) 24 Enemy Ship Variants.mp4 (179.61 MB) 25 Tune & Tweak.mp4 (171.3 MB) 26 Enemy Hit Points.mp4 (97.04 MB) 27 Public Methods C#.mp4 (67.34 MB) 28 Scoreboard UI.mp4 (162.72 MB) 29 Enemy Waves Using Control Tracks.mp4 (234.8 MB) 3 Additional Terrain Features.mp4 (186.12 MB) 30 Timeline Audio.mp4 (82.34 MB) 30 Voice Lines.zip (7.58 MB) 31 Displaying Dialogue Using Signals.mp4 (209.95 MB) 32 Portrait Camera Render Texture.mp4 (279.89 MB) 33 Paint Trees on Terrain.mp4 (317.53 MB) 34 Rendering, Lighting, & Shadows.mp4 (175.8 MB) 35 Skybox.mp4 (72.73 MB) 36 Post Processing.mp4 (151.2 MB) 37 Layers & Multiple Volume Profiles.mp4 (149.48 MB) 38 Reload Level Using Coroutines.mp4 (83.72 MB) 39 Music & SFX.zip (3.72 MB) 39 Music Singleton.mp4 (118.69 MB) 4 Texturing Terrain.mp4 (233.24 MB) 40 Your Vertical Slice.mp4 (107.3 MB) 41 Wrap Up - Galaxy Strike.mp4 (47.09 MB) 5 Master Timeline.mp4 (281 MB) 6 Animation Curves.mp4 (192.13 MB) 7 Animate Enemy Using Timeline.mp4 (77.34 MB) 8 Input Action Map.mp4 (146.2 MB) 9 Player Ship Movement.mp4 (86.84 MB) 1 Section Intro - Royal Run.mp4 (36.27 MB) 10 Obstacle Prefab Variants.mp4 (186.44 MB) 11 Fence Chunk Hazard.mp4 (115.92 MB) 12 Lane Detection.mp4 (108.59 MB) 13 Lane Pickups.mp4 (240.56 MB) 14 Physics Collision Setup.mp4 (157.85 MB) 15 Destroy Obstacles.mp4 (72.07 MB) 16 Player Hit Animation.mp4 (175.27 MB) 17 Trigger Animation Through Code.mp4 (53.4 MB) 18 Inheritance.mp4 (128.55 MB) 19 Modifying Physics.mp4 (122.92 MB) 2 Project Setup & Import Assets.mp4 (50.95 MB) 20 Cinemachine Camera Controller.mp4 (209.71 MB) 21 Speed Up Particle System.mp4 (106.94 MB) 22 Inspector Tooltips & Headers.mp4 (80.84 MB) 23 Score Manager.mp4 (97.16 MB) 24 Dependency Injection.mp4 (113.57 MB) 25 Time Lose Condition.mp4 (177.21 MB) 26 Properties.mp4 (90.81 MB) 27 Modulus Operator.mp4 (182.32 MB) 28 Checkpoint Increase Time.mp4 (56.84 MB) 29 Beautify Checkpoint Prefab.mp4 (44.96 MB) 3 Level Generation Using For Loops.mp4 (172.19 MB) 30 Lighting & Post Processing pt 1.mp4 (80.87 MB) 31 Lighting & Post Processing pt 2.mp4 (177.81 MB) 32 Cinemachine Composer.mp4 (124.38 MB) 33 Fog Particle System.mp4 (292.85 MB) 34 Cinemachine Screen Shake.mp4 (182.13 MB) 35 Rock Collision FX.mp4 (219.97 MB) 36 Music & Camera Noise.mp4 (105.34 MB) 37 Tune, Tweak, & Balance.mp4 (200.54 MB) 38 Wrap Up - Royal Run.mp4 (45.82 MB) 4 Chunk Movement.mp4 (101.56 MB) 5 C# Lists.mp4 (88.39 MB) 6 Player Movement.mp4 (195.8 MB) 7 Restrain Player Using Clamp.mp4 (101.5 MB) 8 Obstacles Using While Loops.mp4 (98.35 MB) 9 Physics Materials.mp4 (210.15 MB) 1 Section Intro - Sharp Shooter.mp4 (30.2 MB) 10 Weapon Animation.mp4 (60.36 MB) 11 Hit VFX.mp4 (49.84 MB) 12 Robot Animator & Animation.mp4 (38.93 MB) 13 Intro to Probuilder.mp4 (119.6 MB) 14 ProBuilder Level Blockout.mp4 (212.02 MB) 15 ProBuilder Tips & Tricks.mp4 (212.65 MB) 16 New Scene Prep.mp4 (150.52 MB) 17 Scriptable Objects.mp4 (82.41 MB) 18 Shoot Cooldown.mp4 (144.6 MB) 19 Machine Gun.mp4 (115.01 MB) 2 First Person Starter Asset.mp4 (92.01 MB) 20 Weapon Pickup.mp4 (114.19 MB) 21 Switching Weapons.mp4 (75.13 MB) 22 Sniper Rifle.mp4 (171.82 MB) 23 Weapon Zoom.mp4 (159.53 MB) 24 Base Pickup Using Inheritance.mp4 (80.97 MB) 25 Raycast Overloads.mp4 (69.84 MB) 26 Ammo.mp4 (182.88 MB) 27 Ammo Pickup.mp4 (100.86 MB) 28 Weapon Viewport.mp4 (87.28 MB) 29 Gun Recoil Screenshake.mp4 (132.39 MB) 3 Nav Mesh Agent.mp4 (175.9 MB) 30 Robot Explosion VFX.mp4 (193.07 MB) 31 Explosion OnDrawGizmos().mp4 (96.68 MB) 32 Physics OverlapSphere().mp4 (80.33 MB) 33 Death Camera Transition.mp4 (93.1 MB) 34 Player Shield UI.mp4 (136.79 MB) 35 Enemy Spawn Gate.mp4 (171.09 MB) 36 Turret.mp4 (218.26 MB) 37 Projectile.mp4 (154.6 MB) 38 TMP Font Asset Creator.mp4 (105.24 MB) 39 Ternary Operator.mp4 (57.2 MB) 4 Agent Jump & Drop Height.mp4 (75.53 MB) 40 Event System.mp4 (104.76 MB) 41 Win Condition.mp4 (88.7 MB) 42 Polish.mp4 (211.6 MB) 43 Wrap Up - Sharp Shooter.mp4 (40.15 MB) 5 Equip a Gun.mp4 (66.27 MB) 6 Raycasting.mp4 (91.54 MB) 7 Shoot Input.mp4 (79.39 MB) 8 Enemy Health.mp4 (41.59 MB) 9 Muzzle Flash.mp4 (190.32 MB) 1 Welcome To The Course.mp4 (92.13 MB) 2 Download Unity & VS Code.mp4 (72.6 MB) 4 Introducing Unity.mp4 (125.18 MB) 5 Introducing Prefabs.mp4 (73.81 MB) 6 Your First Script.mp4 (90.74 MB) 7 Community & Support.mp4 (55.72 MB) 1 Section Intro - Obstacle Course.mp4 (29.91 MB) 10 Introduction To Methods.mp4 (97.85 MB) 11 Practicing With Methods.mp4 (111.45 MB) 12 Using OnCollisionEnter().mp4 (65.11 MB) 13 Using GetComponent().mp4 (52.24 MB) 14 Incrementing A Score.mp4 (96.88 MB) 15 Using Time time.mp4 (74.24 MB) 16 If Statements.mp4 (46.21 MB) 17 Caching A Reference.mp4 (155.93 MB) 18 Using Tags.mp4 (119.71 MB) 19 Rotate An Object.mp4 (97.4 MB) 2 Game Design - Obstacle Course.mp4 (61.99 MB) 20 Prepare Our Prefabs.mp4 (84.06 MB) 21 Build An Obstacle Course.mp4 (122.66 MB) 22 Wrap Up - Obstacle Course.mp4 (46.18 MB) 3 Start() & Update().mp4 (129.76 MB) 4 Introducing Variables.mp4 (51.58 MB) 5 Using SerializeField.mp4 (71.67 MB) 6 C# Formatting & Input GetAxis().mp4 (116.63 MB) 7 Time deltaTime.mp4 (60.65 MB) 8 Cinemachine Follow Camera.mp4 (79.5 MB) 9 Basic Collision.mp4 (78.24 MB) 1 Section Intro - Project Boost.mp4 (18.85 MB) 10 Rigidbody Constraints.mp4 (140.42 MB) 11 Our Source Control Repo.mp4 (125.67 MB) 12 Unity Audio Introduction.mp4 (84.31 MB) 13 Play AudioSource SFX.mp4 (84.94 MB) 14 Switch Statements.mp4 (152.83 MB) 15 Respawn Using SceneManager.mp4 (42.41 MB) 16 Load Next Level.mp4 (69.73 MB) 17 Using Invoke.mp4 (129.11 MB) 18 Multiple Audio Clips.mp4 (109.76 MB) 19 Bool Variable For State.mp4 (79.16 MB) 2 Game Design - Project Boost.mp4 (20.01 MB) 20 Make Rocket Look Spiffy.mp4 (170.5 MB) 21 How To Trigger Particles.mp4 (135.04 MB) 22 Particles For Rocket Boosters.mp4 (101.37 MB) 23 Refactor With Extract Method.mp4 (37.48 MB) 24 Add Cheat Debug Keys.mp4 (58.89 MB) 25 Make Environment From Cubes.mp4 (110.21 MB) 26 How To Add Lights In Unity.mp4 (210.95 MB) 27 Move Obstacle With Code.mp4 (96.25 MB) 28 Mathf Sin() For Oscillation.mp4 (135.43 MB) 29 Protect Against NaN Error.mp4 (65.94 MB) 3 Onion Design.mp4 (33.12 MB) 30 Designing Level Moments.mp4 (105.48 MB) 31 Quit Application.mp4 (20.21 MB) 32 How To Build & Publish A Game.mp4 (31.38 MB) 33 Wrap Up - Project Boost.mp4 (17.3 MB) 4 Unity Units.mp4 (151.37 MB) 5 Introducing Classes.mp4 (110.41 MB) 6 Basic Input Binding.mp4 (127.68 MB) 7 Using AddRelativeForce().mp4 (61.45 MB) 8 Variable For Thrusting.mp4 (28.87 MB) 9 Transform Rotate() Our Rocket.mp4 (116.01 MB) 1 Section Intro - Argon Assault.mp4 (43.4 MB) 10 Import Player Ship Asset.mp4 (149.36 MB) 11 Using GetAxis() For Movement.mp4 (166.74 MB) 12 Unity's New Input System.mp4 (204.92 MB) 13 Start Moving Our Player.mp4 (110.23 MB) 14 Move Player Using Input.mp4 (40.31 MB) 15 Mathf Clamp() To Constrain Movement.mp4 (129.49 MB) 16 How To Set Local Rotation.mp4 (160.65 MB) 17 Rotate Ship With Position & Throw.mp4 (233.59 MB) 18 Time To Tune And Tweak.mp4 (268.61 MB) 19 Particle System Laser Bullet.mp4 (304.06 MB) 2 Game Design - Argon Assault.mp4 (57.68 MB) 20 Exploring Nested Prefabs In Unity.mp4 (130.96 MB) 21 Set Up Firing Input.mp4 (95.83 MB) 22 Arrays & Foreach Loops.mp4 (201.33 MB) 23 Deactivating Particle System Emission.mp4 (78.05 MB) 24 Header & Tooltips Attributes.mp4 (85.58 MB) 25 Understanding Collisions & Triggers.mp4 (441.45 MB) 26 Detecting Particle Collisions.mp4 (234.35 MB) 27 Reload Scene After Collision.mp4 (173.52 MB) 28 Create Explosion Particle Effect.mp4 (269.16 MB) 29 Trigger Player Explosion.mp4 (119.4 MB) 3 How To Add Terrain.mp4 (195.84 MB) 30 Instantiate At Runtime.mp4 (240.31 MB) 31 Public Methods In Unity C#.mp4 (99.52 MB) 32 Simple User Interface For Score.mp4 (73.95 MB) 33 ToString() To Display Score.mp4 (71.07 MB) 34 Enemy Hit Points.mp4 (152.64 MB) 35 Set Up Enemy Prefabs.mp4 (95.43 MB) 36 Using FindWithTag().mp4 (167 MB) 37 Control Tracks For Enemy Waves.mp4 (235.19 MB) 38 Timeline For Dialogue.mp4 (107.22 MB) 39 Singleton Pattern For Music Player.mp4 (183.18 MB) 4 Unity Terrain Tools.mp4 (166.58 MB) 40 Sneaky Explosion SFX.mp4 (197.73 MB) 41 Skybox & Lighting.mp4 (325.25 MB) 42 Add Post Processing.mp4 (225.21 MB) 43 Your 3 Minute Experience.mp4 (134.38 MB) 44 Wrap Up - Argon Assault.mp4 (8.97 MB) 5 How To Use Unity Asset Store.mp4 (88.33 MB) 6 Texturing Terrain In Unity.mp4 (305.9 MB) 7 Add Trees To Terrain.mp4 (165.54 MB) 8 Master Timeline For Player Rail.mp4 (306.16 MB) 9 Animate Enemy Using Timeline.mp4 (184.33 MB) 1 Introduction - Realm Rush.mp4 (23.59 MB) 10 Smooth Enemy Movement.mp4 (116.13 MB) 11 Detect Mouse Input.mp4 (105.35 MB) 12 Targeting Enemies.mp4 (93.3 MB) 13 Damaging Enemies.mp4 (169.53 MB) 14 Debugging Tools.mp4 (69.77 MB) 15 Finding the Path.mp4 (50.63 MB) 16 Instantiating Enemies.mp4 (40.27 MB) 17 Object Pools.mp4 (119.75 MB) 18 Target Closest Enemy.mp4 (113.18 MB) 19 Currency System (Part 1).mp4 (96.44 MB) 2 Realm Rush Game Design.mp4 (79.37 MB) 20 Currency System (Part 2).mp4 (51.57 MB) 21 UI Text.mp4 (116.45 MB) 22 Increasing Difficulty.mp4 (52.06 MB) 23 Refactoring.mp4 (138.89 MB) 24 Playtest and Balance.mp4 (197.95 MB) 25 Review and Reflect.mp4 (43.04 MB) 26 Pathfinding Decisions.mp4 (88.65 MB) 27 Breadth First Search.mp4 (73.16 MB) 28 Pure C# Classes.mp4 (61.5 MB) 29 Dictionaries.mp4 (86.82 MB) 3 Grid Snapping.mp4 (34.29 MB) 30 More Debugging Tools.mp4 (132.24 MB) 31 Exploring Neighbors.mp4 (104.72 MB) 32 Exploring the World.mp4 (91.15 MB) 33 Finding the Path (again!).mp4 (94.39 MB) 34 Blocking Nodes.mp4 (152.46 MB) 35 Valid Path.mp4 (111.44 MB) 36 Script Execution Order.mp4 (155.87 MB) 37 Broadcast Message.mp4 (78.59 MB) 38 Overloading Methods.mp4 (120.56 MB) 39 Build Timer.mp4 (68.64 MB) 4 Text Labels.mp4 (71.26 MB) 40 Ambience.mp4 (172.52 MB) 41 Post Processing.mp4 (197.63 MB) 42 Section Wrap-Up.mp4 (47.89 MB) 5 Coordinate System.mp4 (93.16 MB) 6 Lists.mp4 (71.46 MB) 7 Introducing Coroutines.mp4 (55.96 MB) 8 Importing Assets.mp4 (62.93 MB) 9 Prefab Variants.mp4 (119.81 MB) 1 Welcome To Zombie Runner.mp4 (179.14 MB) 10 Enemy AI - Attack If Provoked.mp4 (91.85 MB) 11 Give That Player A Gun.mp4 (71.1 MB) 11 Survival Carbine - Michael Randall.zip (5.38 MB) 12 Introduction To Raycasting.mp4 (72.63 MB) 13 Enemy Health & Damage.mp4 (75.59 MB) 14 Implement A Muzzle Flash.mp4 (107.15 MB) 14 Muzzle Flash VFX.zip (17.48 KB) 15 13 ZR UY3 Muzzle+Flash+VFX.zip (17.48 KB) 15 Creating Shooting Hit Effect.mp4 (129.08 MB) 16 Introduction To Animator Controller.mp4 (84.92 MB) 17 Creating A Simple Animation.mp4 (67.62 MB) 18 Animator Transition Conditions.mp4 (56.24 MB) 19 Trigger Animation In Code.mp4 (121.1 MB) 2 Zombie Runner Game Design.mp4 (43.21 MB) 20 Use Animation Events.mp4 (70.56 MB) 21 Create Player Health Class.mp4 (79.24 MB) 22 Rotate To Face Target.mp4 (82.58 MB) 23 Game Over User Interface.mp4 (146.45 MB) 24 Create A Death Handler.mp4 (36.51 MB) 25 Using BroadcastMessage.mp4 (73.2 MB) 26 Early Gameplay Loop.mp4 (86.59 MB) 27 Weapon System Overview.mp4 (77.59 MB) 28 Weapon Zoom - Field Of View.mp4 (96.79 MB) 29 Weapon Zoom - Mouse Sensitivity.mp4 (80.87 MB) 30 Basic Ammo Functionality.mp4 (54.71 MB) 31 Multiple Weapon Types.mp4 (117.75 MB) 32 Weapon Differentiation.mp4 (205.28 MB) 33 Set Active Weapon.mp4 (79.85 MB) 34 Player Input To Select Weapon.mp4 (121.53 MB) 35 Public Enum & Private Class.mp4 (127.76 MB) 36 Different Weapon Different Ammo.mp4 (74.23 MB) 37 Quick Bug Fix Challenge.mp4 (63.51 MB) 38 Ammo Pickup - Part 1.mp4 (64.44 MB) 39 Ammo Pickup - Part 2.mp4 (124.33 MB) 4 Adding First Person Controller.mp4 (51.31 MB) 40 Let's Add A Zombie.mp4 (222.4 MB) 41 Quick Zombie Attack Challenge.mp4 (22.91 MB) 42 Flex Your Level Design Muscles.mp4 (126.95 MB) 43 Add Terrain & Trees.mp4 (399.11 MB) 44 ProBuilder For Making Props.mp4 (297.8 MB) 45 ProBuilder To Make Rooms.mp4 (319.51 MB) 46 ProBuilder To Make Levels.mp4 (213.81 MB) 47 Adding Textures With ProBuilder.mp4 (280.87 MB) 47 Generic Wall Textures.zip (34.93 MB) 48 We Need Some Lights.mp4 (241.65 MB) 49 Create A FlashLight.mp4 (161.22 MB) 5 Make A Prototyping Sandbox.mp4 (92.14 MB) 50 Create A Battery Pickup.mp4 (240.07 MB) 51 Display Current Ammo UI.mp4 (162.86 MB) 52 Damage Received UI.mp4 (136.11 MB) 53 Props & Polish.mp4 (147 MB) 6 Using NavMeshAgent For AI.mp4 (117.68 MB) 7 Getting Stuck & Jittering.mp4 (71.44 MB) 8 Enemy AI - 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9.02 GB | 37min 28s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 What's Inside The Course.mp4 (16.85 MB) 1 Setting Up Ground and Player.mp4 (65.92 MB) 2 Creating The Falling Stones.mp4 (32.57 MB) 3 Creating Player Controller.mp4 (59.42 MB) 4 Creating The GameManager.mp4 (86.55 MB) 5 Creating Score Mechanism.mp4 (84.39 MB) 1 Build A 3D Coin Collecting Game with Unity & C#.mp4 (277.12 MB) 1 Learn C# Scripting for Unity 2D Game Development.mp4 (113.27 MB) 1 Build 2D Carrot Collector Android Game with Touch Joystick.mp4 (371.24 MB) 1 Build 2D Balloon Popper Game.mp4 (204.14 MB) 1 Build 2D Block Dodge Android Game.mp4 (290.85 MB) 1 Getting Started with Lists in C#.mp4 (37.87 MB) 2 More About List with Practical Examples.mp4 (51.99 MB) 3 Stack and It's Application in C#.mp4 (113.21 MB) 4 Working with Queues in C#.mp4 (74.14 MB) 5 Implementing Dictionary in C#.mp4 (60.85 MB) 1 Everything You Wanted To Know About Vectors.mp4 (102.37 MB) 2 Unit Vectors & Normalizing.mp4 (89 MB) 3 Understanding & Implementing Vector Dot Products.mp4 (52.71 MB) 4 Vector Cross Products with Examples & Visual Demonstration.mp4 (50.2 MB) 1 Why are Quaternions Used and How Unity Handles Rotations.mp4 (72 MB) 2 Working with Euler Angles in C#.mp4 (19.95 MB) 3 Finding The Angle To A Target with LookRotation.mp4 (38.05 MB) 4 Interpolation Between Two Quaternions using Slerp.mp4 (34.42 MB) 5 Combining multiple Quaternion Rotations in C#.mp4 (35.04 MB) 1 Creating 2D Platformer Player Controller.mp4 (169.47 MB) 2 Adding Player Animations.mp4 (199.89 MB) 3 Creating A Smooth Following Camera.mp4 (107.54 MB) 4 Adding Double Jump Feature.mp4 (80.93 MB) 1 Installing & Setting Up Unity 2023.mp4 (20.17 MB) 2 Installing & Creating Your First Project with Unity 2022.mp4 (19.89 MB) 3 Fix Visual Studio Auto Completion Problem.mp4 (21.28 MB) 1 Introduction To The Egg Catcher Game.mp4 (16.86 MB) 10 Setting Up The GameManger.mp4 (21.89 MB) 11 Spawning The Eggs.mp4 (96.79 MB) 12 Spawing Eggs at Random Positions.mp4 (36.05 MB) 2 Setting Up The Scene.mp4 (55.28 MB) 3 Setting Up The Basket.mp4 (35.47 MB) 4 Creating The Basket Controller.mp4 (61.94 MB) 5 Smoothly Moving Basket.mp4 (32.7 MB) 6 Limiting Basket Movement.mp4 (32.32 MB) 7 Setting Up The Egg.mp4 (47.25 MB) 8 Creating Score Checker.mp4 (38.35 MB) 9 Creating Egg Script.mp4 (42.55 MB) 1 Adding Score Functionality.mp4 (20.84 MB) 2 Designing Score UI.mp4 (96.68 MB) 3 Designing The Start Menu.mp4 (44.89 MB) 4 Adding Functionalities To The Main Menu.mp4 (39.7 MB) 5 Creating Game Over Menu.mp4 (79.26 MB) 6 Building and Publishing To Android.mp4 (70.13 MB) 1 Understanding The Need of Object Pooling.mp4 (64.02 MB) 2 Implementing A Simple Version of Object Pool in C#.mp4 (118.83 MB) 3 Creating A Growing Object Pool.mp4 (43.92 MB) 4 Creating an Advanced Generic Object Pool for Multiple Objects.mp4 (152.53 MB) 5 Implementing Mutliple Object Pools with an Example.mp4 (77.78 MB) 1 Understanding Classes & Objects in C#.mp4 (87.74 MB) 2 Constructors in C# Unity.mp4 (78.21 MB) 3 Initializing Objects with System Serializable.mp4 (44.47 MB) 4 Enums in C#.mp4 (89.47 MB) 1 Inheritance in C# - 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Strategies For Parallelizing Llms Masterclass Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.89 GB | Duration: 8h 41m Mastering LLM Parallelism: Scale Large Language Models with DeepSpeed & Multi-GPU Systems What you'll learn Understand and Apply Parallelism Strategies for LLMs Implement Distributed Training with DeepSpeed Deploy and Manage LLMs on Multi-GPU Systems Enhance Fault Tolerance and Scalability in LLM Training Requirements Basic knowledge of Python programming and deep learning concepts. Familiarity with PyTorch or similar frameworks is helpful but not required. Access to a GPU-enabled environment (e.g., colab) for hands-on sections-don't worry, we'll guide you through setup! Description Mastering LLM Parallelism: Scale Large Language Models with DeepSpeed & Multi-GPU SystemsAre you ready to unlock the full potential of large language models (LLMs) and train them at scale? In this comprehensive course, you'll dive deep into the world of parallelism strategies, learning how to efficiently train massive LLMs using cutting-edge techniques like data, model, pipeline, and tensor parallelism. Whether you're a machine learning engineer, data scientist, or AI enthusiast, this course will equip you with the skills to harness multi-GPU systems and optimize LLM training with DeepSpeed.What You'll LearnFoundational Knowledge: Start with the essentials of IT concepts, GPU architecture, deep learning, and LLMs (Sections 3-7). Understand the fundamentals of parallel computing and why parallelism is critical for training large-scale models (Section 8).Types of Parallelism: Explore the core parallelism strategies for LLMs-data, model, pipeline, and tensor parallelism (Sections 9-11). Learn the theory and practical applications of each method to scale your models effectively.Hands-On Implementation: Get hands-on with DeepSpeed, a leading framework for distributed training. Implement data parallelism on the WikiText dataset and master pipeline parallelism strategies (Sections 12-13). Deploy your models on RunPod, a multi-GPU cloud platform, and see parallelism in action (Section 14).Fault Tolerance & Scalability: Discover strategies to ensure fault tolerance and scalability in distributed LLM training, including advanced checkpointing techniques (Section 15).Advanced Topics & Trends: Stay ahead of the curve with emerging trends and advanced topics in LLM parallelism, preparing you for the future of AI (Section 16).Why Take This Course?Practical, Hands-On Focus: Build real-world skills by implementing parallelism strategies with DeepSpeed and deploying on Run Pod's multi-GPU systems.Comprehensive Deep Dives: Each section includes in-depth explanations and practical examples, ensuring you understand both the "why" and the "how" of LLM parallelism.Scalable Solutions: Learn techniques to train LLMs efficiently, whether you're working with a single GPU or a distributed cluster.Who This Course Is ForMachine learning engineers and data scientists looking to scale LLM training.AI researchers interested in distributed computing and parallelism strategies.Developers and engineers working with multi-GPU systems who want to optimize LLM performance.Anyone with a basic understanding of deep learning and Python who wants to master advanced LLM training techniques.PrerequisitesBasic knowledge of Python programming and deep learning concepts.Familiarity with PyTorch or similar frameworks is helpful but not required.Access to a GPU-enabled environment (e.g., run pod) for hands-on sections-don't worry, we'll guide you through setup! Overview Section 1: Introduction Lecture 1 Introduction & What Is This Course About Lecture 2 Course Structure Lecture 3 DEMO - What You'll Build in This Course Section 2: Course Source Code and Resources Lecture 4 Get Source Code Lecture 5 Get Course Slides Section 3: Strategies for Parallelizing LLMS - Deep Dive Lecture 6 What is Parallelism and Why it Matters Lecture 7 Understanding the Single GPU Strategy Lecture 8 Understanding the Parallel Strategy and Advantages Lecture 9 Parallelism vs Single GPU - Summary Section 4: IT Fundamental Concepts Lecture 10 IT Fundamentals - Introduction Lecture 11 What is a Computer - CPU and RAM Overview Lecture 12 Data Storage and File Systems Lecture 13 OS File System Structure Lecture 14 LAN Introduction Lecture 15 What is the Internet Lecture 16 Internet Communication Deep Dive Lecture 17 Understanding Servers and Clients Lecture 18 GPUs - Overview Section 5: GPU Architecture for LLM Training Deep Dive Lecture 19 GPU Architecture for LLM Training Lecture 20 Why this Architecture Excels Section 6: Deep and Machine Learning - Deep Dive Lecture 21 Machine and Deep Learning Introduction Lecture 22 Deep and Machine Learning - Overview and Breakdown Lecture 23 Deep Learning Key Aspects Lecture 24 Deep Neural Networks - Deep Dive Lecture 25 The Single Neuron Computation - Deep Dive Lecture 26 Weights Lecture 27 Activation Functions - Deep Dive Lecture 28 Deep Learning - Summary Lecture 29 Machine Learning Introduction - ML vs DL Lecture 30 Learning Types and Full ML & DL Analogy Example Lecture 31 DL and ML Comparative Capabilities - Summary Section 7: Large Language Models - Fundamentals of AI and LLMs Lecture 32 Introduction Lecture 33 The Transformer Architecture Fundamentals Lecture 34 The Self-Attention Mechanism - Analogy Lecture 35 The Transformer Architecture Animation Lecture 36 The Transformer Library - Deep dive Section 8: Parallel Computing Fundamentals & Parallelism in LLM Training Lecture 37 Parallel Computing Introduction - Key Concepts Lecture 38 Parallel Computing Fundamentals and Scaling Laws - Deep Dive Section 9: Types of Parallelism in LLM Training - Data - Model and Hybrid Parallelism Lecture 39 Types of Parallelism in LLM Training Lecture 40 Data Parallelism - How It Works Lecture 41 Data Parallelism Advantages for LLM Training Lecture 42 Real-world Example - Data Parallelism in GPT-3 Training Lecture 43 Model Parallelism and Tensor Parallelism and Layer Parallelism - Deep Dive Lecture 44 LLM Relevance and Implementaion Lecture 45 Model vs Data Parallelism Lecture 46 Key Differences Highlighted - Data vs Model Parallelism Lecture 47 Data vs Model Parallelism Lecture 48 Hybrid Parallelism - Animation Lecture 49 Hybrid Parallelism - What is It and Motivation Section 10: Types of Parallelism - Pipeline and Tensor Parallelism Lecture 50 Pipeline Parallelism Overview Lecture 51 Pipeline Parallelism Key Concepts and How it Works - Step by Step Lecture 52 Pipeline Bubbles Key Concepts Lecture 53 Pipeline Schedules Key Concepts Lecture 54 Activation Recomputation - Overview and Introduction Lecture 55 Neural Network and Activation and Backward and Forward Passes - Full Dive Lecture 56 Understanding Activation Recomputation vs Standard Training - Deep Dive Lecture 57 Demo - Activation Recomputation Visualization Lecture 58 Activation Recomputation vs Standard Approach Lecture 59 Benefits of Activation Recomputation and Implementation Strategies Lecture 60 Pipeline Parallelism Implementation Frameworks and Key Takeaways Section 11: Tensor Parallelism - Deep Dive Lecture 61 What is Tensor Parallelism and Why - Benefits Lecture 62 Tensor Parallel Pizza Making Analogy Lecture 63 Tensors and Partitioning Strategies - Deep Dive Lecture 64 Tensor Communication Patterns - Deep Dive Lecture 65 Device Mesh Communication Pattern - Deep Dive Lecture 66 How Components Work Together in Distributed LLM Training Lecture 67 Understanding Tensor Parallelism with LEGO Bricks Animation Demo Lecture 68 Putting it All Together - All Strategies in LLM Training Section 12: HANDS-ON: Strategies for Parallelism - Data Parallelism Deep Dive Lecture 69 Strategies for Parallelizing LLMs - Hands- on Introduction Lecture 70 Pytorch - LLM Training Library Overview Lecture 71 The Transformers Library - Overview Lecture 72 Numpy Overview Lecture 73 TorchVision and TorchDistributed Overview Lecture 74 DeepSpeed and Megatron-LM - Overview Lecture 75 Datasets and Why this Toolkit Lecture 76 HANDS-On: Data Parallelism - Training a Small Model - MNIST Dataset Lecture 77 Testing Pseudo Data Parallelism Trained Model Lecture 78 HANDS-ON: Data Parallelism - Colab - Full Demo Lecture 79 Data Parallelism - Simulated Parallelism on GPU Takeaways Section 13: HANDS-ON: Data Parallelism w/ WikiText Dataset & DeepSpeed Mem. Optimizatization Lecture 80 Hands-on: Data Parallelism - Wikitext-2 Dataset Lecture 81 DeepSpeed - Full Dive Lecture 82 Hands-on: Data Parallelism with DeepSpeed Optimization Section 14: Running TRUE Parallelism on Multiple GPU Systems - Runpod.io Lecture 83 Setup Runpod.io Environment Overview Lecture 84 Runpod SSH Setup Lecture 85 Setting up Runpod Parallelism in JupyterNotebook Lecture 86 HANDS-ON - Parallelism with IMDB Dataset - Deep Dive - True Parallelism Lecture 87 Runpod Cleanup Section 15: Fault Tolerance and Scalability & Advanced Checkpointing Strategies - Deep Dive Lecture 88 Fault Tolerance Introduction & Types of Failures in Distributed LLM Training Lecture 89 Strategies for Fault Tolerance Lecture 90 Checkpointing in LLM Training - Animation Lecture 91 Basic Checkpointing in LLM Taining Lecture 92 Incremental Checkpointing in LLM Training Lecture 93 Asynchronous Checkpointing in LLM Training Lecture 94 Multi-level Checkpointing in LLM Training - Animation Lecture 95 Checkpoint Storage Considerations - Deep Dive Lecture 96 Implementing a Hybrid Approach - Performance, Failure, Optimizations - Full Dive Lecture 97 Checkpoint Storage Strategy - Summary Section 16: Advanced Topics and Emerging Trends Lecture 98 Advanced Topics and Emerging Trends Section 17: Wrap up and Next Steps Lecture 99 Course Summary and Next Steps Machine learning engineers and data scientists looking to scale LLM training.,AI researchers interested in distributed computing and parallelism strategies.,Developers and engineers working with multi-GPU systems who want to optimize LLM performance.,Anyone with a basic understanding of deep learning and Python who wants to master advanced LLM training techniques. AusFile https://ausfile.com/2u3g58te6c2c/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part1.rar https://ausfile.com/raz3114vj1bl/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part2.rar https://ausfile.com/6kmnbg72t91c/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part3.rar https://ausfile.com/arm2r2yqujl7/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part4.rar https://ausfile.com/d3dy2btovzj5/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part5.rar https://ausfile.com/uuw9i4iaaoab/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part6.rar DDownload https://ddownload.com/mgr1sox8jfnf/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part1.rar https://ddownload.com/kuvczom2dh49/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part2.rar https://ddownload.com/eyir9ubc19wp/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part3.rar https://ddownload.com/dm8byzwn69o6/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part4.rar https://ddownload.com/bdx80wroa78j/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part5.rar https://ddownload.com/d7gcmkmn20ri/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part6.rar RapidGator https://rapidgator.net/file/3632db67c3e0c20a40009aaf5620b009/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part1.rar https://rapidgator.net/file/7fcc13b27f88138daf62c843add12f39/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part2.rar https://rapidgator.net/file/b5722d124161f96e041b40570e6f8bbd/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part3.rar https://rapidgator.net/file/1459e134a19e7797a0383897b360adb2/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part4.rar https://rapidgator.net/file/8505a460cddc9b0f8e13031a593efd3f/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part5.rar https://rapidgator.net/file/a3d01eb0c8653306b36e2cc2457e6bee/yxusj..-.Strategies.for.Parallelizing.LLMs.Masterclass.-.Paulo.Dichone.Mar.2025.part6.rar

1.9 GB | 13min 13s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Course Structure & Outline.mp4 (15.59 MB) 4 Setting Expectations.mp4 (4.35 MB) 1 Intro to Machine Learning.mp4 (4.41 MB) 2 When is ML the right fit.mp4 (5.96 MB) 3 The Machine Learning Process.mp4 (5.42 MB) 4 The Machine Learning Landscape.mp4 (3.55 MB) 1 Part 1 QA & Data Profiling.mp4 (3.97 MB) 1 Introduction.mp4 (5.72 MB) 10 BEST PRACTICES Preliminary QA.mp4 (2.99 MB) 2 Why QA.mp4 (3.13 MB) 3 Variable Types.mp4 (5.86 MB) 4 Empty Values.mp4 (8.23 MB) 5 Range Calculations.mp4 (3.49 MB) 6 Count Calculations.mp4 (3.83 MB) 7 Left & Right Censored Data.mp4 (4.88 MB) 8 Table Structure.mp4 (5.33 MB) 9 CASE STUDY Preliminary QA.mp4 (152.6 MB) 1 Introduction.mp4 (4.51 MB) 10 CASE STUDY Normal Distribution.mp4 (46.08 MB) 11 Univariate Data Profiling.mp4 (3.43 MB) 12 Mode.mp4 (5.67 MB) 13 Mean.mp4 (3.9 MB) 14 Median.mp4 (2.66 MB) 15 Percentile.mp4 (3.01 MB) 16 Variance.mp4 (5.83 MB) 17 Standard Deviation.mp4 (2.79 MB) 18 Skewness.mp4 (2.82 MB) 19 BEST PRACTICES Univariate Profiling.mp4 (3.68 MB) 2 Categorical Variables.mp4 (3.58 MB) 3 Discretization.mp4 (3.75 MB) 4 Nominal vs Ordinal.mp4 (4.82 MB) 5 Categorical Distributions.mp4 (7.48 MB) 6 Numerical Variables.mp4 (3.81 MB) 7 Histograms & Kernel Densities.mp4 (10.63 MB) 8 CASE STUDY Histograms.mp4 (23.52 MB) 9 Normal Distribution.mp4 (5.11 MB) 1 Introduction.mp4 (17.04 MB) 10 Correlation.mp4 (7.01 MB) 11 Correlation vs Causation.mp4 (4.43 MB) 12 Visualizing Third Dimension.mp4 (5.44 MB) 13 CASE STUDY Correlation.mp4 (35.67 MB) 14 BEST PRACTICES Multivariate Profiling.mp4 (3.24 MB) 16 Looking Ahead to Part 2.mp4 (3.25 MB) 2 Categorical-Categorical.mp4 (7.35 MB) 3 CASE STUDY Heat Maps.mp4 (29.75 MB) 4 Categorical-Numerical.mp4 (5.3 MB) 5 Multivariate Kernel Densities.mp4 (6.09 MB) 6 Violin Plots.mp4 (3.44 MB) 7 Box Plots.mp4 (2.81 MB) 8 Limitations of Categorical Distributions.mp4 (5.23 MB) 9 Numerical-Numerical.mp4 (3.51 MB) 1 Part 2 Classification Modeling.mp4 (4.19 MB) 1 Supervised vs Unsupervised Learning.mp4 (8.88 MB) 2 Classification vs Regression.mp4 (3.84 MB) 3 RECAP Key Concepts.mp4 (6.97 MB) 4 Classification 101.mp4 (7.98 MB) 5 Classification Workflow.mp4 (5.89 MB) 6 Feature Engineering.mp4 (7.55 MB) 7 Data Splitting.mp4 (3.64 MB) 8 Overfitting.mp4 (7.68 MB) 1 Common Classification Models.mp4 (2.56 MB) 10 Decision Trees Entropy 101.mp4 (5.67 MB) 11 Entropy & Information Gain.mp4 (9.31 MB) 12 Decision Tree Examples.mp4 (10.45 MB) 13 Random Forests.mp4 (3.18 MB) 14 CASE STUDY Decision Trees.mp4 (38.98 MB) 15 Intro to Logistic Regression.mp4 (4.37 MB) 16 Logistic Regression Example.mp4 (5.08 MB) 17 False Positives vs False Negatives.mp4 (6.91 MB) 18 Logistic Regression Equation.mp4 (3.6 MB) 19 The Likelihood Function.mp4 (10 MB) 2 Intro to K-Nearest Neighbors (KNN).mp4 (2.3 MB) 20 Multivariate Logistic Regression.mp4 (5.85 MB) 21 CASE STUDY Logistic Regression.mp4 (39.25 MB) 22 Intro to Sentiment Analysis.mp4 (5.07 MB) 23 Cleaning Text Data.mp4 (4.16 MB) 24 Bag of Words Analysis.mp4 (9.26 MB) 25 CASE STUDY Sentiment Analysis.mp4 (38.65 MB) 3 KNN Examples.mp4 (8.44 MB) 4 CASE STUDY KNN.mp4 (78.03 MB) 5 Intro to Naïve Bayes.mp4 (3.28 MB) 6 Naïve Bayes Frequency Tables.mp4 (4.11 MB) 7 Naïve Bayes Conditional Probability.mp4 (11.1 MB) 8 CASE STUDY Naïve Bayes.mp4 (22.34 MB) 9 Intro to Decision Trees.mp4 (4.13 MB) 1 Intro to Selection & Tuning.mp4 (1.87 MB) 11 Looking ahead to Part 3.mp4 (1.32 MB) 2 Hyperparameters.mp4 (6.49 MB) 3 Imbalanced Classes.mp4 (7.06 MB) 4 Confusion Matrix.mp4 (4.68 MB) 5 Accuracy, Precision & Recall.mp4 (4.92 MB) 6 Multi-class Confusion Matrix.mp4 (4.66 MB) 7 Multi-class Scoring.mp4 (9.32 MB) 8 Model Selection.mp4 (3.77 MB) 9 Model Drift.mp4 (2.1 MB) 1 Part 3 Regression & Forecasting.mp4 (1.18 MB) 1 Supervised vs Unsupervised Learning.mp4 (4.43 MB) 2 RECAP Key Concepts.mp4 (5.63 MB) 3 Regression 101.mp4 (6.13 MB) 4 Feature Engineering for Regression.mp4 (6.32 MB) 5 Prediction vs Root-Cause Analysis.mp4 (2.41 MB) 1 Intro to Regression Modeling.mp4 (2.26 MB) 2 Linear Relationships.mp4 (11.88 MB) 3 Least Squared Error.mp4 (28.33 MB) 4 Univariate Linear Regression.mp4 (3.11 MB) 5 CASE STUDY Univariate Linear Regression.mp4 (29.08 MB) 6 Multiple Linear Regression.mp4 (19.34 MB) 7 Non-Linear Regression.mp4 (8.03 MB) 8 CASE STUDY Non-Linear Regression.mp4 (82.71 MB) 1 Intro to Model Diagnostics.mp4 (3.58 MB) 10 Variance Inflation Factor.mp4 (7.91 MB) 11 RECAP Sample Model Output.mp4 (10.09 MB) 2 Sample Model Output.mp4 (2.36 MB) 3 R-Squared.mp4 (10.44 MB) 4 Mean Error Metrics (MSE, MAE, MAPE).mp4 (12.79 MB) 5 Homoskedasticity.mp4 (5.37 MB) 6 Null Hypothesis.mp4 (2.47 MB) 7 F-Significance.mp4 (6.91 MB) 8 T-Values & P-Values.mp4 (9.22 MB) 9 Multicollinearity.mp4 (3.34 MB) 1 Intro to Forecasting.mp4 (4.72 MB) 10 CASE STUDY Smoothing.mp4 (24.12 MB) 11 Non-Linear Trends.mp4 (3.36 MB) 12 CASE STUDY Non-Linear Trend.mp4 (18.05 MB) 13 Intervention Analysis.mp4 (6.72 MB) 14 CASE STUDY Intervention Analysis.mp4 (58.65 MB) 16 Looking Ahead to Part 4.mp4 (1.64 MB) 2 Seasonality.mp4 (3.55 MB) 3 Auto Correlation Function.mp4 (5.05 MB) 4 CASE STUDY Seasonality with ACF.mp4 (16.95 MB) 5 One-Hot Encoding.mp4 (4.75 MB) 6 CASE STUDY Seasonality with One-Hot Encoding.mp4 (67.03 MB) 7 Linear Trending.mp4 (5.27 MB) 8 CASE STUDY Seasonality with Linear Trend.mp4 (59.67 MB) 9 Smoothing.mp4 (4.13 MB) 1 Part 4 Unsupervised Learning.mp4 (1.01 MB) 1 Supervised vs Unsupervised Learning.mp4 (4.29 MB) 2 Common Unsupervised Techniques.mp4 (3.21 MB) 3 Unsupervised ML Workflow.mp4 (4.05 MB) 4 RECAP Feature Engineering.mp4 (3 MB) 5 KEY TAKEAWAYS Intro to Unsupervised ML.mp4 (2.7 MB) 1 Introduction.mp4 (2.04 MB) 10 KEY TAKEAWAYS Clustering & Segmentation.mp4 (3.29 MB) 2 Clustering Basics.mp4 (4.44 MB) 3 Intro to K-Means.mp4 (16.34 MB) 4 WSS & Elbow Plots.mp4 (5.09 MB) 5 K-Means FAQs.mp4 (2.97 MB) 6 CASE STUDY K-Means.mp4 (91.95 MB) 7 Intro to Hierarchical Clustering.mp4 (6.25 MB) 8 Anatomy of a Dendrogram.mp4 (4.2 MB) 9 Hierarchical Clustering FAQs.mp4 (4.3 MB) 1 Introduction.mp4 (1.83 MB) 10 CASE STUDY Markov Chains.mp4 (15.97 MB) 11 KEY TAKEAWAYS Association Mining.mp4 (3.61 MB) 2 Association Mining Basics.mp4 (3.26 MB) 3 The Apriori Algorithm.mp4 (3.92 MB) 4 Basket Analysis Examples.mp4 (11.19 MB) 5 Minimum Support Thresholds.mp4 (3.06 MB) 6 Infrequent Itemsets.mp4 (8.2 MB) 7 Multiple Item Sets.mp4 (3.64 MB) 8 CASE STUDY Apriori.mp4 (48.04 MB) 9 Markov Chains.mp4 (11.52 MB) 1 Introduction.mp4 (3.24 MB) 2 Outlier Detection Basics.mp4 (4.49 MB) 3 Cross-Sectional Outliers.mp4 (4.87 MB) 4 Cross-Sectional Outlier Example.mp4 (8.08 MB) 5 CASE STUDY Cross-Sectional Outlier.mp4 (57.45 MB) 6 Time-Series Outliers.mp4 (3.92 MB) 7 Time-Series Outlier Example.mp4 (7.95 MB) 8 KEY TAKEAWAYS Outlier Detection.mp4 (2.55 MB) 1 Introduction.mp4 (987.21 KB) 2 Dimensionality Reduction Basics.mp4 (6.02 MB) 3 Principle Component Analysis.mp4 (3.46 MB) 4 PCA Example.mp4 (6.19 MB) 5 Interpreting Components.mp4 (6.43 MB) 6 Scree Plots.mp4 (5.91 MB) 7 Advanced Techniques.mp4 (2.22 MB) 8 KEY TAKEAWAYS Dimensionality Reduction.mp4 (2.67 MB) 1 Series Conclusion.mp4 (1.45 MB)] Screenshot AusFile https://ausfile.com/8l9fh9dqhlaz https://ausfile.com/4jv7p50upufy https://ausfile.com/zmfmdmpzzh65 RapidGator https://rapidgator.net/file/9af3482f357ebd0c994103ffd383f0e6/ https://rapidgator.net/file/97a279a516aba71357bcb1dbcda21136/ https://rapidgator.net/file/91c7b70ea9b5b9a47138a53b87c6dd84/

4.4 GB | 14min 54s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Course Introduction.mp4 (26.09 MB) 2 Lecturer Introduction.mp4 (4.79 MB) 1 Modern C++ Programming Style Part One.mp4 (52.17 MB) 2 Modern C++ Programming Style Part Two.mp4 (57.09 MB) 5 1 quick game development.zip (25.79 KB) 1 History of C++.mp4 (32.9 MB) 10 Associative Containers Practical.mp4 (76.18 MB) 10 3 associative container practical.zip (2.47 KB) 12 Container Adapters.mp4 (58.39 MB) 12 3 container adapter overview.zip (1.43 KB) 13 Operator Overloading.mp4 (35.86 MB) 13 3 operator overloading overview.zip (1.33 KB) 14 Algorithms with Predicates.mp4 (54.8 MB) 14 1 algorithm predicate overview.zip (1.87 KB) 16 Classes and Inheritance.mp4 (47.84 MB) 16 3 classes and inheritance.zip (835 B) 17 Virtual Functions and Polymorphism.mp4 (77.57 MB) 17 3 virtual functions.zip (2.04 KB) 2 Local Variables and Function Arguments.mp4 (62.55 MB) 2 3 local variables.zip (1.31 KB) 20 Exceptions.mp4 (51.93 MB) 20 1 exception overview.zip (1.28 KB) 21 The throw() Exception Specifier.mp4 (14.92 MB) 22 Templates.mp4 (43.89 MB) 22 1 template overview.zip (609 B) 23 Namespaces.mp4 (36.59 MB) 23 1 namespace overview.zip (547 B) 24 Synthesized Member Functions.mp4 (49.88 MB) 24 3 synthesized member fns.zip (632 B) 25 Resource Managment.mp4 (30.12 MB) 26 Casting.mp4 (50.65 MB) 26 3 casts.zip (1.78 KB) 27 Run-time Type Information.mp4 (43.73 MB) 27 1 rtti.zip (1.19 KB) 28 Copy Elision.mp4 (58.67 MB) 28 3 copy elision.zip (1.77 KB) 29 Miscellaneous C++98 features.mp4 (35.18 MB) 29 1 misc overview.zip (1.02 KB) 3 Classes and Special Member Functions.mp4 (44.97 MB) 4 Array, String and Vector.mp4 (73.63 MB) 4 1 array string vector overview.zip (1.79 KB) 6 Iterators.mp4 (52.84 MB) 6 1 iterator overview.zip (2.6 KB) 7 Algorithms.mp4 (43.09 MB) 7 1 algorithm overview.zip (641 B) 8 Sequential Containers.mp4 (66.9 MB) 8 3 sequential container overview.zip (1.49 KB) 9 Associative Containers.mp4 (34.72 MB) 1 Types and Literals.mp4 (41.49 MB) 1 3 types and literals.zip (1.85 KB) 11 Constructors.mp4 (60.91 MB) 11 3 constructors.zip (2.6 KB) 12 Delete and Default Keywords.mp4 (45.33 MB) 12 3 default delete special members.zip (972 B) 13 Conversion Operators.mp4 (48.04 MB) 13 3 conversion operators.zip (1.52 KB) 14 Inheritance.mp4 (46.48 MB) 14 3 inheritance.zip (1.44 KB) 15 The noexcept keyword.mp4 (29.94 MB) 15 1 noexcept.zip (517 B) 16 Inline Namespaces.mp4 (37.77 MB) 16 3 inline namespace.zip (2.02 KB) 2 User-defined Literals.mp4 (97.09 MB) 2 1 user defined literals.zip (1.97 KB) 3 Declaration and Initialization.mp4 (66.61 MB) 3 3 declaration initialization.zip (2.28 KB) 5 Enums.mp4 (33.21 MB) 5 3 enums.zip (1.24 KB) 6 Automatic Type Deduction.mp4 (85.95 MB) 6 3 automatic type deduction.zip (1.6 KB) 8 Loops.mp4 (61.99 MB) 8 3 loops.zip (1.62 KB) 1 Lambda Expressions Introduction.mp4 (60.88 MB) 1 3 lambda intro.zip (1.46 KB) 2 Lambda Expressions Practical.mp4 (59.95 MB) 2 2 lambda practical.zip (1.28 KB) 4 Lambda Expressions and Capture.mp4 (66.65 MB) 4 3 lambda capture.zip (2.27 KB) 5 Lambda Expressions and Capture Continued.mp4 (59.63 MB) 5 3 lambda capture contd.zip (1.82 KB) 7 Lambda Expressions and Partial Evaluation.mp4 (64.39 MB) 7 3 lambdas and partial eval.zip (1.63 KB) 8 Lambda Expressions in C++14.mp4 (39.55 MB) 8 3 lambda cpp14.zip (1.23 KB) 1 Initializer Lists.mp4 (26.54 MB) 1 3 initializer list.zip (952 B) 10 Time.mp4 (51.41 MB) 10 3 time.zip (823 B) 11 Mathematical Types.mp4 (32.12 MB) 11 2 mathematical types.zip (736 B) 12 Bitsets.mp4 (23 MB) 12 2 bitset.zip (651 B) 13 Miscellaneous Library Features.mp4 (46.22 MB) 13 1 misc library features.zip (2.12 KB) 14 Random Number Algorithms.mp4 (38.88 MB) 14 3 random number algorithms.zip (1.51 KB) 15 3 workshop library.zip (891 B) 2 Containers and insert().mp4 (48.62 MB) 2 3 containers insert.zip (1.54 KB) 3 Containers and emplace().mp4 (55.08 MB) 3 3 containers emplace.zip (1.29 KB) 4 Tuples.mp4 (60.18 MB) 4 3 tuples.zip (1.95 KB) 5 stdarray.mp4 (48.72 MB) 5 3 standard array.zip (1.63 KB) 6 Miscellaneous Containers.mp4 (74.93 MB) 6 3 miscellaneous containers.zip (1.35 KB) 7 Binding Arguments.mp4 (53.82 MB) 7 3 binding arguments.zip (1.93 KB) 8 Callable Objects.mp4 (44.87 MB) 8 3 callable objects.zip (2.6 KB) 9 Random Numbers.mp4 (67.81 MB) 1 Swap.mp4 (50.24 MB) 1 3 swap.zip (1020 B) 2 Move Semantics.mp4 (39.03 MB) 3 Lvalues and Rvalues.mp4 (46.64 MB) 3 3 lvalues and rvalues.zip (1.08 KB) 4 Move Operators.mp4 (69.96 MB) 4 3 move operators.zip (874 B) 5 Special Member Functions in Modern C++.mp4 (41.19 MB) 6 Move-only Types and RAII.mp4 (49.17 MB) 6 1 move only and raii.zip (562 B) 7 Forwarding References.mp4 (41.52 MB) 7 3 forwarding references.zip (911 B) 8 Perfect Forwarding.mp4 (45.65 MB) 8 3 perfect forwarding.zip (585 B) 9 3 move semantics workshop.zip (2.3 KB) 1 Thread Overview.mp4 (50.24 MB) 1 1 thread overview.zip (1.28 KB) 2 Data sharing by threads.mp4 (53.12 MB) 2 3 data sharing threads.zip (575 B) 3 Mutex Overview.mp4 (62.23 MB) 3 3 mutex intro.zip (1.61 KB) 4 Deadlock and Livelock.mp4 (79.57 MB) 4 3 deadlock and livelock.zip (2.74 KB) 5 Atomic Types Overview.mp4 (39.6 MB) 5 3 atomic types.zip (894 B) 6 Condition Variables.mp4 (64.14 MB) 6 3 condition variable.zip (1.6 KB) 7 Promises and Futures.mp4 (47.52 MB) 7 3 promises futures.zip (1.32 KB) 8 Asynchronous Threads Overview.mp4 (64.32 MB) 8 1 async threads.zip (1.4 KB) 9 3 multithreading workshop.zip (2.89 KB) 1 Introduction to Smart Pointers.mp4 (29.18 MB) 2 Unique Pointer.mp4 (66.49 MB) 2 3 unique ptr.zip (1.52 KB) 3 Unique Pointer Applications.mp4 (72.01 MB) 3 3 unique ptr applications.zip (1.65 KB) 4 The pImpl Idiom.mp4 (63.47 MB) 4 3 the pImpl idiom.zip (1.52 KB) 5 Shared Pointer.mp4 (51.01 MB) 5 3 shared ptr.zip (485 B) 6 Weak Pointer.mp4 (42.29 MB) 6 3 weak ptr.zip (619 B) 7 3 smart pointer workshop.zip (1.11 KB) 1 Variadic Templates.mp4 (85.46 MB) 1 3 variadic templates.zip (2.02 KB) 2 Miscellaneous Template Features.mp4 (63.43 MB) 2 1 misc template features.zip (2.52 KB) 3 Constant Expressions.mp4 (29.27 MB) 3 3 constant expressions.zip (552 B) 4 Constexpr Functions.mp4 (39 MB) 4 3 constexpr functions.zip (532 B) 5 Template Type Deduction.mp4 (69.22 MB) 5 1 template overview.zip (609 B) 6 Automatic Type Deduction.mp4 (38.27 MB)] Screenshot AusFile https://ausfile.com/wf0xjtao176i https://ausfile.com/1w23e94oct8m https://ausfile.com/kficb6iugiwd https://ausfile.com/i890vvpnk7c1 https://ausfile.com/6bho8uol7w2h RapidGator https://rapidgator.net/file/94a37fdb5d6584d8249b750c4f9dd0cf/ https://rapidgator.net/file/b969dc21a01a69463609188f5d2839ce/ https://rapidgator.net/file/18fb49b43deeb37ca8be7a4145721500/ https://rapidgator.net/file/21e62439889d568d9ed0a615df283901/ https://rapidgator.net/file/ba3bf66954bbc13370acb9747888890b/

2.59 GB | 2min 59s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Introduction.mp4 (62.33 MB) 2 Installing Python.mp4 (11.94 MB) 3 Installing an IDE (VS Code).mp4 (22.96 MB) 4 Intro to VS Code.mp4 (35.23 MB) 5 Notebooks vs Scripts.mp4 (21.73 MB) 6 Hello World!.mp4 (5.4 MB) 7 Reading Errors.mp4 (11.5 MB) 1 Understanding HTTP - Introduction.mp4 (22.55 MB) 2 Understanding HTTP - Key Concepts.mp4 (12.91 MB) 3 Understanding HTTP - Why Does HTTP Matter.mp4 (4.06 MB) 4 HTTP Requests - Request Structure.mp4 (7.79 MB) 5 HTTP Requests - GET Request.mp4 (15.43 MB) 6 HTTP Requests - POST Request.mp4 (10.9 MB) 7 Status Codes - Status Codes Meanings.mp4 (19.52 MB) 1 Basics of HTML - Introduction.mp4 (6.42 MB) 10 Common Tags and Elements - Lists.mp4 (7.3 MB) 11 Common Tags and Elements - Images.mp4 (8.24 MB) 12 Common Tags and Elements - Tables.mp4 (6.31 MB) 13 Common Tags and Elements - Divs.mp4 (4.68 MB) 14 Forms and Inputs - Introduction.mp4 (5.03 MB) 15 Forms and Inputs - Labels.mp4 (4.14 MB) 16 Forms and Inputs - Text Inputs.mp4 (5.06 MB) 17 Forms and Inputs - Radio Buttons and Checkboxes.mp4 (6.49 MB) 18 Forms and Inputs - The Submit Button.mp4 (5.09 MB) 19 Webscraping - Introduction.mp4 (3.71 MB) 2 Basics of HTML - Writing and Opening HTML Files.mp4 (11.61 MB) 20 Webscraping - Using BeautifulSoup.mp4 (18.41 MB) 21 Webscraping - Inspecting Websites.mp4 (25.05 MB) 22 Webscraping - Navigating Elements.mp4 (25.19 MB) 23 Webscraping - Accessing the Data.mp4 (21.04 MB) 24 Webscraping - Selenium.mp4 (21.81 MB) 3 Basics of HTML - Structure of HTML Documents.mp4 (5.87 MB) 4 Basics of HTML - HTML Elements.mp4 (10.85 MB) 5 Basics of HTML - Attributes.mp4 (11.62 MB) 6 Common Tags and Elements - Introduction.mp4 (3.58 MB) 7 Common Tags and Elements - Headings.mp4 (6.43 MB) 8 Common Tags and Elements - Paragraphs and Texts.mp4 (4.82 MB) 9 Common Tags and Elements - Links.mp4 (6.19 MB) 1 Version Control - Introduction.mp4 (7.72 MB) 10 Git Branching and Merging - Merging Branches.mp4 (7.09 MB) 11 Git Branching and Merging - Merging Conflicts.mp4 (9.25 MB) 12 Git Branching and Merging - Deleting Branches.mp4 (3.04 MB) 2 Version Control - CVC vs DVC.mp4 (5.15 MB) 3 Version Control - Git Key Concepts.mp4 (5.4 MB) 4 Basics of GIT - Set up GIT.mp4 (19.09 MB) 5 Basics of GIT - Initialize a repository.mp4 (13.04 MB) 6 Basics of GIT - Clone a repository.mp4 (19.37 MB) 7 Basics of GIT - Basic Workflow.mp4 (13.1 MB) 8 Basics of GIT - Status and Log.mp4 (6.01 MB) 9 Git Branching and Merging - Create Switch and View Branches.mp4 (7.84 MB) 1 Introduciton to Servers - Introduction.mp4 (5.88 MB) 10 Building a Simple API - Setting Public Access.mp4 (4.78 MB) 11 Deploying the Server - Hosting Providers.mp4 (6.71 MB) 12 Deploying the Server - Creating a server on AWS.mp4 (20.71 MB) 13 Deploying the Server - Setting up the Server.mp4 (24.04 MB) 14 Deploying the Server - Deploying the Server.mp4 (31.98 MB) 2 Introduction to Servers - Key Concepts.mp4 (8.86 MB) 3 Building a Simple API - Frameworks.mp4 (4.99 MB) 4 Building a Simple API - Setup and Run Server.mp4 (10.59 MB) 5 Building a Simple API - Creating Routes.mp4 (10.41 MB) 6 Building a Simple API - Sending Data.mp4 (11.62 MB) 7 Building a Simple API - Testing the API.mp4 (7.05 MB) 8 Building a Simple API - Getting Data.mp4 (10.32 MB) 9 Building a Simple API - Adding Status Codes.mp4 (6.05 MB) 1 Final Thoughts.mp4 (9.97 MB) 1 Encapsulation.mp4 (10.42 MB) 10 Magic or Dunder Methods.mp4 (4.78 MB) 11 Working with Packages.mp4 (4.78 MB) 2 RegEx.mp4 (4.77 MB) 3 Lambda.mp4 (4.78 MB) 4 First Class Objects.mp4 (4.76 MB) 5 Decorators.mp4 (4.78 MB) 6 Iterators.mp4 (4.76 MB) 7 Abstraction.mp4 (4.78 MB) 8 Composition and Aggregation.mp4 (4.78 MB) 9 Class and Static Methods.mp4 (4.77 MB) 1 Variables - What Are Variables.mp4 (12.74 MB) 10 Strings - Indexing.mp4 (14.69 MB) 11 Strings - Slicing.mp4 (18.61 MB) 12 Operators - Arithmetic Operators.mp4 (17.89 MB) 13 Operators - Assignment Operators.mp4 (8.54 MB) 14 Operators - String Operators.mp4 (24.47 MB) 15 Booleans - Introduction.mp4 (17.71 MB) 16 Booleans - Comparison Operators.mp4 (7.6 MB) 17 Booleans - Evaluating Values and Variables.mp4 (9.3 MB) 18 Booleans - String Membership Operators.mp4 (10.2 MB) 2 Variables - Data Types.mp4 (14.53 MB) 3 Variables - Getting Data Types.mp4 (8.38 MB) 4 Variables - Changing Variable Types.mp4 (11.73 MB) 5 Variables - Overwriting Variables.mp4 (9.85 MB) 6 Strings - Introduction.mp4 (11.23 MB) 7 Strings - Modifying Strings.mp4 (32.17 MB) 8 Strings - String Formatting.mp4 (23.04 MB) 9 Strings - Escape Characters.mp4 (17.27 MB) 1 Lists - Introduction.mp4 (7.35 MB) 10 Tuples - Unpacking Tuples.mp4 (8.18 MB) 11 Sets - Introduction.mp4 (3.29 MB) 12 Sets - Set Attributes.mp4 (4.3 MB) 13 Sets - Accessing Items.mp4 (4.33 MB) 14 Sets - Adding Items.mp4 (8.7 MB) 15 Sets - Removing Items.mp4 (12.14 MB) 16 Sets - Combining Sets.mp4 (17.16 MB) 17 Dictionaries - Introduction.mp4 (10.43 MB) 18 Dictionaries - Dictionary Attributes.mp4 (5.48 MB) 19 Dictionaries - Accessing Items.mp4 (8.94 MB) 2 Lists - A Coding Example.mp4 (8.73 MB) 20 Dictionaries - Dictionary Methods.mp4 (15.08 MB) 21 Dictionaries - Adding Items.mp4 (12.23 MB) 22 Dictionaries - Removing Items.mp4 (11.73 MB) 23 Dictionaries - Nested Dictionaries.mp4 (20.82 MB) 3 Lists - Accessing Items.mp4 (4.69 MB) 4 Lists - List Attributes.mp4 (9.58 MB) 5 Lists - List Methods.mp4 (25.98 MB) 6 Lists - Connecting Lists.mp4 (4.67 MB) 7 Tuples - Introduction.mp4 (4.28 MB) 8 Tuples - Tuple Attributes.mp4 (7.09 MB) 9 Tuples - Adding Items.mp4 (9.55 MB) 1 Conditionals - Introduction.mp4 (2.45 MB) 10 Loops - While Loops.mp4 (11.25 MB) 11 Loops - Using While Loops with Lists.mp4 (12.64 MB) 12 Loops - Else Statement.mp4 (5.71 MB) 13 Loops - For Loops.mp4 (7.32 MB) 14 Loops - Looping Through Strings.mp4 (4.62 MB) 15 Loops - Looping Through Dictionaries.mp4 (6.72 MB) 16 Loops - Using the Range Method.mp4 (5.73 MB) 17 Loops - The break Statement.mp4 (6.66 MB) 18 Loops - The continue Statement.mp4 (6.38 MB) 19 Loops - Nested Loops.mp4 (18.55 MB) 2 Conditionals - The if Statement.mp4 (20.38 MB) 20 Functions - Introduction.mp4 (3.37 MB) 21 Functions - Defining Functions.mp4 (7.72 MB) 22 Functions - Arguments and Parameters.mp4 (58.48 MB) 23 Functions - Returning Values.mp4 (7.8 MB) 24 Functions - Recursion.mp4 (16.35 MB) 3 Conditionals - The elif Statement.mp4 (7.43 MB) 4 Conditionals - The else Statement.mp4 (6.53 MB) 5 Conditionals - Shorthand if statements.mp4 (5.85 MB) 6 Conditionals - Shorthand if else statements.mp4 (7.1 MB) 7 Conditionals - Logical Operators.mp4 (14.81 MB) 8 Conditionals - Nested if Statements.mp4 (9.71 MB) 9 Loops - Introduction.mp4 (3.3 MB) 1 Objects - Introduction.mp4 (6.25 MB) 10 Inheritance - Example.mp4 (26.93 MB) 11 Inheritance - The super() Function.mp4 (24.21 MB) 12 Inheritance - Adding New Attributes and Methods.mp4 (3.89 MB) 13 Modules - Introduction.mp4 (7.91 MB) 14 Modules - Internal Modules.mp4 (15.55 MB) 15 Modules - External Modules.mp4 (17.98 MB) 16 Modules - Importing Parts of a Module.mp4 (4.82 MB) 17 Modules - Importing with Aliases.mp4 (4.85 MB) 18 Modules - Custom Modules.mp4 (6.94 MB) 19 Polymorphism - Introduction.mp4 (8.18 MB) 2 Objects - Defining A Class.mp4 (14.9 MB) 20 Polymorphism - Class Polymorphism.mp4 (11.08 MB) 3 Objects - The Self Parameter.mp4 (4.74 MB) 4 Objects - Creating an Object.mp4 (13.81 MB) 5 Objects - Accessing Object Attributes.mp4 (6.91 MB) 6 Objects - Modifying Object Attributes.mp4 (5.34 MB) 7 Objects - Deleting Object Attributes.mp4 (6 MB) 8 Objects - Class Methods.mp4 (12.06 MB) 9 Inheritance - Introduction.mp4 (4.25 MB) 1 Scope - Local Scope.mp4 (8.33 MB) 10 JSON - Introduction.mp4 (6.55 MB) 11 JSON - Creating a JSON Object.mp4 (7.35 MB) 12 JSON - Decoding JSON.mp4 (6.45 MB) 13 JSON - Converting Python Data Types to JSON.mp4 (11.65 MB) 14 PIP - Introduction.mp4 (3.12 MB) 15 PIP - Installing PIP.mp4 (14.16 MB) 16 PIP - Using Pip.mp4 (21.75 MB) 17 PIP - Uninstalling Packages.mp4 (7.47 MB) 18 PIP - List All Installed Packages.mp4 (6.42 MB) 2 Scope - Function inside a function.mp4 (13.44 MB) 3 Scope - Global Scope.mp4 (10.24 MB) 4 Scope - Variables With The Same Name.mp4 (7.09 MB) 5 Scope - The Global Keyword.mp4 (15.18 MB) 6 Datetime - Introduction.mp4 (5.99 MB) 7 Datetime - Useful Methods.mp4 (10.05 MB) 8 Datetime - Creating a Datetime Object.mp4 (8.48 MB) 9 Datetime - Converting Datetime to String.mp4 (20.71 MB) 1 User Inputs - Introduction.mp4 (9.12 MB) 10 Try Except - Input Validation.mp4 (11.49 MB) 11 Logging - Introduction.mp4 (4.95 MB) 12 Logging - Logging Levels.mp4 (12.39 MB) 13 Logging - Logging Configuration.mp4 (8.24 MB) 14 Logging - Logging To Multiple Sources.mp4 (20.15 MB) 15 Logging - Using Logger Objects.mp4 (9.37 MB) 16 Variable Naming Convention.mp4 (6.3 MB) 17 Documentation - Introduction.mp4 (3.48 MB) 18 Documentation - Comments.mp4 (6.94 MB) 19 Documentation - Docstrings.mp4 (10.74 MB) 2 User Inputs - Casting Input Data Types.mp4 (6.85 MB) 20 Environment Variables - Introduction.mp4 (5.06 MB) 21 Environment Variables - How to Define.mp4 (6.58 MB) 22 Environment Variables - How to Use.mp4 (9.34 MB) 23 Environment Variables - Why.mp4 (3.98 MB) 24 Debugging - Introduction.mp4 (3.54 MB) 25 Debugging - Syntax Errors.mp4 (6.5 MB) 26 Debugging - Runtime Errors.mp4 (7.96 MB) 27 Debugging - Semantic Errors.mp4 (8.22 MB) 28 Debugging - Debugging Techniques.mp4 (8.07 MB) 29 Debugging - Using a Debugger.mp4 (22.3 MB) 3 Try Except - Introduction.mp4 (16.1 MB) 30 Unittesting - Introduction.mp4 (4.3 MB) 31 Unittesting - Writing Unit Tests.mp4 (9.18 MB) 32 Unittesting - Assertions.mp4 (5.65 MB) 33 Unittesting - Running Unittests.mp4 (13.93 MB) 34 Python Decorators - Introduction.mp4 (22.3 MB) 35 Python Decorators - Example Timing Execution.mp4 (17.33 MB) 36 Python Decorators - Example Authentication.mp4 (13.51 MB) 4 Try Except - Catching All Error Types.mp4 (5.98 MB) 5 Try Except - Printing The Error Message.mp4 (8.44 MB) 6 Try Except - Using the else block.mp4 (10.44 MB) 7 Try Except - Using the finally block.mp4 (8.03 MB) 8 Try Except - Using the Else and Finally blocks together.mp4 (11.72 MB) 9 Try Except - Raising Exceptions.mp4 (9 MB) 1 Read Files - Introduction.mp4 (3.58 MB) 10 Create Files - Creating Folders.mp4 (5.96 MB) 11 Delete Files - Introduction.mp4 (8.85 MB) 12 Delete Files - Check if File Exists.mp4 (7.12 MB) 13 Delete Files - Delete Folders.mp4 (5.11 MB) 2 Read Files - Opening Files.mp4 (10.87 MB) 3 Read Files - Reading the File.mp4 (7.86 MB) 4 Read Files - Reading Lines.mp4 (9.28 MB) 5 Read Files - Closing Files.mp4 (4.57 MB) 6 Read Files - The with and as statements.mp4 (7.23 MB) 7 Create Files - File Handles.mp4 (4.69 MB) 8 Create Files - Creating Files.mp4 (8.67 MB) 9 Create Files - Write to Existing File.mp4 (9.74 MB) 1 Introduction to Databases - Introduction.mp4 (6.67 MB) 10 CSVs - Writing to CSV Files.mp4 (14.49 MB) 11 CSVs - Using the DictWriter Class.mp4 (8.84 MB) 12 CSVs - Introduction to Pandas.mp4 (10.17 MB) 13 CSVs - Creating CSV Files with Pandas.mp4 (5.48 MB) 14 Connecting to a Database - Introduction.mp4 (6.16 MB) 15 Connecting to a Database - Creating Tables.mp4 (13.43 MB) 16 Connecting to a Database - Committing Changes.mp4 (4.48 MB) 17 Connecting to a Database - Installing SQLite Viewer.mp4 (7.99 MB) 18 Connecting to a Database - Setting SQLite Viewer as Default Viewer.mp4 (5.34 MB) 19 Inserting Data - Basic Insert.mp4 (11.68 MB) 2 Introduction to Databases - Relational Databases.mp4 (6.82 MB) 20 Inserting Data - Inserting Multiple Records.mp4 (11.32 MB) 21 Inserting Data - Viewing Changes.mp4 (3.87 MB) 22 Querying Data - Basic Query.mp4 (8.64 MB) 23 Querying Data - Filtering Data.mp4 (7.83 MB) 24 Querying Data - Ordering and Limiting Results.mp4 (8.53 MB) 25 Querying Data - Aggregating Data.mp4 (7.49 MB) 26 Querying Data - Group By.mp4 (9.8 MB) 27 Querying Data - Final Notes.mp4 (7.4 MB) 3 Introduction to Databases - MySQL and SQLite.mp4 (4.44 MB) 4 Introduction to Databases - When not to use a Database.mp4 (3.83 MB) 5 Introduction to Databases - SQLite.mp4 (7.39 MB) 6 CSVs - Introduction.mp4 (3.74 MB) 7 CSVs - Read a CSV File.mp4 (10.3 MB) 8 CSVs - Read the Data.mp4 (8.45 MB) 9 CSVs - Manually Reading the Data.mp4 (9.98 MB)] Screenshot AusFile https://ausfile.com/p249ruzl24by https://ausfile.com/qccxgi9c26bc https://ausfile.com/6vfonxg8sqdr RapidGator https://rapidgator.net/file/37db69b4fb23a6973e46f0a32b608241/ https://rapidgator.net/file/190b0cc9225f64b9382b68dd301d52d3/ https://rapidgator.net/file/16103fb9d5b2851c91aae99090b875cd/

5.25 GB | 20min 21s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Understand the MLOps Project you will Build in the Course.mp4 (31.92 MB) 1 -What is MLOps.mp4 (353.71 MB) 2 -Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4 (308.4 MB) 3 -Comparing Three Approaches to AI.mp4 (350.94 MB) 4 -MLOps Case Studies - Learning from the Pioneers.mp4 (123.99 MB) 5 -Comparing Devops vs MLOps.mp4 (287.07 MB) 6 -Emergence of MLOps Engineer.mp4 (229.53 MB) 1 -Module Intro.mp4 (65.98 MB) 10 -Summary.mp4 (74.64 MB) 2 -Use Case - House Price Predictor - Regression.mp4 (31.92 MB) 3 -Understanding End to End ML Practices and MLOps.mp4 (81.28 MB) 4 -Environment Setup Overview.mp4 (68.07 MB) 5 -Setting up Docker Podman with Compose.mp4 (36.55 MB) 6 -Launching MLflow for Experiemnt Tracking.mp4 (57.25 MB) 7 -Understanding the Project Directory and Scaffold.mp4 (66.77 MB) 8 -Setting up Python Virtual Environment with UV.mp4 (42.88 MB) 9 -Working with Jupyter Notebooks.mp4 (68.44 MB) 1 -Module Intro.mp4 (66.13 MB) 10 -Module Summary.mp4 (70.57 MB) 2 -Learning Data Engineering.mp4 (117.28 MB) 3 -Experimental Data Analysis.mp4 (82.09 MB) 4 -Understaing Feature Engineering Concepts.mp4 (28.18 MB) 5 -Building New Features for House Price Predictor.mp4 (59.78 MB) 6 -Preparing for Model Experimentation.mp4 (56.02 MB) 7 -Data Splitting with x train, y train, x test, y test.mp4 (50.99 MB) 8 -Defining Algorithms and Hyperparameter Grids.mp4 (62.31 MB) 9 -Running Model Experiments to find the Best Model and Hyperparamters.mp4 (105.99 MB) 1 -Module Intro.mp4 (16.36 MB) 2 -Linear Regression.mp4 (50.35 MB) 3 -Logistic Regression.mp4 (26.64 MB) 4 -Decision Tree.mp4 (28.22 MB) 5 -Random Forest.mp4 (39.32 MB) 6 -Support Vector Machine (SVM).mp4 (25.33 MB) 7 -Neural Networking.mp4 (45.23 MB) 8 -Boosting Algorithms (XGBoost, LightGBM etc ).mp4 (84.57 MB) 9 -Module Summary.mp4 (29.58 MB) 1 -Module Intro.mp4 (65.75 MB) 10 -Summary.mp4 (85.8 MB) 2 -Handover from Data Scientist to ML Engineer MLOps.mp4 (30.43 MB) 3 -Running Feature Engineering and Preprocessing Jobs.mp4 (44.79 MB) 4 -Building and Training Final Model with Configs from Data Scientists.mp4 (52.1 MB) 5 -Wrapping the Model with FastAPI with Streamlit Client Apps.mp4 (77.62 MB) 6 -Writing Dockerfile to package Model with FastAPI Wrapper.mp4 (116.67 MB) 7 -Debugging and Fixing Image Failures, Launch and Validate FastAPI.mp4 (96.51 MB) 8 -Packaging and testing Streamlit App.mp4 (67.75 MB) 9 -Packaging and Model Serving Infra with Docker Compose.mp4 (102.73 MB) 1 -Moule Intro.mp4 (58.04 MB) 10 -Summary.mp4 (54 MB) 2 -DAGs, GitHub Actions and our MLOps CI Workflow.mp4 (53.21 MB) 3 -Understanding GitHub Actions Syntax.mp4 (57.65 MB) 4 -Writing an executung out first GitHub Actions Workflow.mp4 (118.71 MB) 5 -Adding Data and Feature Engineering Steps with Model Training.mp4 (56.55 MB) 6 -Model Training Step with MLFlow for Tracking.mp4 (79.43 MB) 7 -Adding Image Build and Publish Step with Docker.mp4 (53.44 MB) 8 -Configurating Registry Token and publishing Image to DockerHub.mp4 (65.19 MB) 9 -Modular, Multi Stage MLOps CI Workflow Pipeline.mp4 (151.95 MB) 1 -Module Intro.mp4 (41.98 MB) 10 -Easy way to Generate Kubernetes Manifets and YAML.mp4 (31.73 MB) 11 -Summary.mp4 (41.5 MB) 2 -Designing Scalable Infrastructure for Model Inference.mp4 (18.52 MB) 3 -Introduction to Kubernetes for Machine Learning.mp4 (47.41 MB) 4 -Kubernetes Core Concepts - Pods, Deployments and Services.mp4 (39.58 MB) 5 -Simplest way to build a 3 Node Kubernetes Cluster with KIND.mp4 (70.82 MB) 6 -Deploying Streamlit Frontent App with Kubernetes.mp4 (89.83 MB) 7 -Exposing the Streamlit App with Kubernetes NodePort Service.mp4 (44.41 MB) 8 -Creating Deployment Service for the Model wrapped in FastAPI.mp4 (47.69 MB) 9 -Connecting Streamlit with Model using Kubernetes native DNS Based Service Discov.mp4 (86.65 MB)] Screenshot AusFile https://ausfile.com/itotwc7p1e2m https://ausfile.com/unvvuhpvuyg1 https://ausfile.com/cdaz2pu44z8b https://ausfile.com/qw9tm9frmkos https://ausfile.com/cxr7z87k1ahl https://ausfile.com/cjsehhmhc41o RapidGator https://rapidgator.net/file/178016df440956311572f9ca82be30c6/ https://rapidgator.net/file/3892bd7aa7e78a11e3196d378227e157/ https://rapidgator.net/file/ef8d44122746acd64342c5c87cd21238/ https://rapidgator.net/file/00e8dfd1e84e629aef89a8f957ace188/ https://rapidgator.net/file/587bd4294525dbac38da006a1a7e00e2/ https://rapidgator.net/file/14340b970d823ba835a73eed6048a532/

2.66 GB | 13min 13s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 - Course Introduction.mp4 (53.55 MB) 2 - MBD in ASpice Vmodel.mp4 (68.52 MB) 19 - Unit Delay Block.mp4 (63.58 MB) 20 - PWM Saturation Blocks.mp4 (63.57 MB) 21 - Mux Demux Blocks.mp4 (39.99 MB) 22 - Goto From Blocks.mp4 (31.11 MB) 23 - Switch Block.mp4 (41.67 MB) 24 - Merge Block.mp4 (44.08 MB) 25 - 1D Lookup Table Block Simulation.mp4 (110.9 MB) 26 - 1D Lookup Table Block Code Generation.mp4 (44.2 MB) 27 - Subsystem Block.mp4 (92.41 MB) 28 - Subsystems Masks.mp4 (95.18 MB) 29 - Enable and Enabled Subsystem blocks.mp4 (122.29 MB) 30 - FunctionCall Generator and FunctionCall Subsystem Blocks.mp4 (87.47 MB) 31 - Trigger and Triggered Subsystem Blocks.mp4 (61.93 MB) 32 - If and If Action Subsystem Blocks.mp4 (78.1 MB) 33 - Switch Case and Switch Case Action Subsystem Blocks.mp4 (41.86 MB) 34 - Custom Library.mp4 (62.32 MB) 35 - MATLAB Function Block.mp4 (62.34 MB) 36 - Project Project and Requirements Description.mp4 (30.58 MB) 37 - Project Method 1 Model Implementation.mp4 (86.89 MB) 38 - Project Method 1 Code Generation.mp4 (73.67 MB) 39 - Project Method 2 Model Implementation.mp4 (98.16 MB) 40 - Project Method 2 Code Generation.mp4 (58.52 MB) 3 - Simulink Interface.mp4 (70.84 MB) 4 - Solvers.mp4 (73.84 MB) 10 - Signal Builder Block.mp4 (102.5 MB) 5 - Constant Block.mp4 (109.29 MB) 6 - Ramp Block.mp4 (42.19 MB) 7 - Input Block.mp4 (108.23 MB) 8 - Step Block.mp4 (25.44 MB) 9 - Clock Block.mp4 (27.26 MB) 11 - Accessing Variables Model Explorer.mp4 (55.38 MB) 12 - Data Type Conversion.mp4 (35.99 MB) 13 - Code Generation How to generate Code.mp4 (46.73 MB) 14 - Code Generation Understand generated code.mp4 (77.2 MB) 15 - Add Product Divide Gain Blocks.mp4 (121.23 MB) 16 - Abs Sign Sqrt Minmax Sine Wave Function Math Function Blocks.mp4 (90.42 MB) 17 - Compare To Constant Compare To Zero Logical Operator Blocks.mp4 (50.79 MB) 18 - Bitwise Operator Relational Operator Blocks.mp4 (65.77 MB)] Screenshot AusFile https://ausfile.com/yetb96h5tqlo https://ausfile.com/f6cthymfdbo2 https://ausfile.com/t7r1q88rr2m0 RapidGator https://rapidgator.net/file/fad9647431bee8990d2d7253cafbb5fd/ https://rapidgator.net/file/814309193e27826f330cb67eb69ae1eb/ https://rapidgator.net/file/300d956d3d7ed08671c25ef85b57a06c/

3.74 GB | 22min 53s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Introduction To Course Setup.mp4 (4.55 MB) 1 -Download and Install Wireshark For DNS Traffic.mp4 (69.23 MB) 1 -Enable The RSAT Tool For DNS And Manage The DNS Server From Client PC.mp4 (73.82 MB) 1 -Sign The Zone and Apply The Proper GPO.mp4 (52.82 MB) 1 -Overview Of All TCPIP Classes and How Binary and Decimal Work (Part1).mp4 (38.45 MB) 2 -Overview Of All TCPIP Classes and How Binary and Decimal Work (Part2).mp4 (39.55 MB) 3 -Class C.mp4 (73.94 MB) 4 -Class B.mp4 (54.37 MB) 5 -Class A.mp4 (41.85 MB) 6 -Class D,E.mp4 (6.38 MB) 1 -Subnetting a Class C Network (Part1).mp4 (151.84 MB) 2 -Subnetting a Class C Network (Part2).mp4 (97.35 MB) 3 -Reverse Engineering Subnetting For Class C.mp4 (40.21 MB) 4 -Subnetting a Class B Network (Part1).mp4 (74.78 MB) 5 -Subnetting a Class B Network (Part2).mp4 (98.47 MB) 6 -Reverse Engineering Subnetting For Class B.mp4 (22.95 MB) 7 -Subnetting a Class A Network (Part1).mp4 (81.27 MB) 8 -Subnetting a Class A Network (Part2).mp4 (87.79 MB) 9 -Reverse Engineering Subnetting For Class A.mp4 (8.48 MB) 1 -Install AD On The 1st Server and Join The 2nd Server To The Domain.mp4 (69.39 MB) 2 -Install DHCP On The 2nd Server (Member Server).mp4 (29.96 MB) 3 -Try and Obtain IP Address On Both Client PCs (APIPA).mp4 (106.72 MB) 1 -Create A Scope On The DHCP Server And Test Both Clients For DHCP.mp4 (37.95 MB) 2 -Modify Scope Options and The Lease Time.mp4 (40.46 MB) 3 -Configure a DHCP Reservation For W11-1.mp4 (28.12 MB) 4 -Configure DHCP Filtering For W11-2.mp4 (11.97 MB) 5 -Create Additional Scopes and What's The Purpose Of Them (VLANS).mp4 (41.16 MB) 6 -Create a Super Scope and What's Its Purpose.mp4 (22.51 MB) 7 -Create a Multicast Scope and When is It Used.mp4 (6.77 MB) 8 -What is The difference between Scope Options and Server Options.mp4 (16.62 MB) 1 -Backup and Restore The DHCP Server.mp4 (9.86 MB) 2 -Reconcile The DHCP Scopes.mp4 (4.41 MB) 1 -Setup A 3rd Server and Join It To The Domain and Install DHCP On It.mp4 (36.43 MB) 2 -How To Setup Fault Tolerance For The DHCP Server Using The Hot Standby Option.mp4 (69.5 MB) 3 -How To Setup Performance (Load Balancing) For The DHCP Server.mp4 (15.27 MB) 1 -Enable The RSAT For DHCP On Client PC (W11-1).mp4 (58.4 MB) 2 -Verify That Administrator can control DHCP From Client System.mp4 (46.68 MB) 3 -Delegate Control To Junior Admins To Manage The DHCP Server From Client PC.mp4 (72.96 MB) 1 -Download And Install VMware Player.mp4 (11.54 MB) 2 -Download The ISOs of Windows Server 2025 Windows 11.mp4 (12.08 MB) 3 -Install Windows 11 And Windows Server 2025.mp4 (203.84 MB) 1 -Download and Install Wire Shark On W11-1 PC and Capture DORA (DHCP Traffic).mp4 (103.53 MB) 1 -Download And Install Cisco Packet Tracer.mp4 (17.52 MB) 2 -Setup DHCP On A Server Using Cisco Packet Tracer.mp4 (33.64 MB) 3 -Setup Multiple DHCP Servers Using Cisco Packet Tracer.mp4 (37.52 MB) 4 -Setup DHCP Snooping On a Cisco Switch and Its Purpose.mp4 (46.15 MB) 5 -Setup DHCP On Cisco Router Using Cisco Packet Tracer (One Broadcast).mp4 (30.02 MB) 6 -Setup DHCP On Cisco Router Using Cisco Packet Tracer (Two Broadcast).mp4 (37.46 MB) 7 -Setup a DHCP Relay On Cisco Router.mp4 (54.66 MB) 8 -Setup DHCP For Multiple VLANs.mp4 (82.07 MB) 1 -In A Nutshell.mp4 (3.23 MB) 1 -Enable Hyper-V On Your System.mp4 (9.14 MB) 2 -Install Windows 11 And Windows Server 2025.mp4 (47.36 MB) 1 -Download And Install VirtualBox.mp4 (12.18 MB) 2 -Install Windows 11 And Windows Server 2025.mp4 (42.95 MB) 1 -Setup The Environment For DNS (1 Windows Server and 2 Windows Clients ).mp4 (166.61 MB) 1 -Install DNS On The Server What Are Root Hints and Forwarders.mp4 (137.39 MB) 2 -Create a Primary Forward Lookup Zone With Proper Resource Records (A,NS,SOA).mp4 (118.74 MB) 3 -Create Additional Resource Records (CNAME(Alias)) Under The Forward Lookup Zone.mp4 (21.79 MB) 4 -Create Additional Resource Records (MX) And Checking The Status Of The (SOA).mp4 (5.17 MB) 5 -Create a Primary Reverse Lookup Zone Along With Proper Resource Records(PTR).mp4 (9.42 MB) 6 -Using NSLookup,IPconfigFlushdnsRegisterDNSDisplayDNS.mp4 (45.41 MB) 1 -Change Computer names To Simulate TWO Different Companies Install DNS 2nd SRV.mp4 (35.95 MB) 2 -Change The IP Address Scheme To Simulate 2 Different Networks.mp4 (47.16 MB) 3 -Configure Routing Between 2 Different Networks (Static Routing).mp4 (38.08 MB) 4 -Test Connectivity Between 2 Different Networks using IPs and Names.mp4 (28.29 MB) 5 -Create a Secondary Zone On Each Server For Name Resolution.mp4 (80.25 MB) 6 -Create a Stub Zone On Each Server For Alternate Name Resolution.mp4 (53.1 MB) 7 -Create a Conditional Forwarder On Each Server For Alternate Name Resolution.mp4 (32.44 MB) 1 -Change Computer Names and IPs For The Corresponding LAB.mp4 (40.36 MB) 2 -Install DNS On The 1st Server Create The Zone Install AD Domain Services.mp4 (15.79 MB) 3 -Check The Status Of The Zone On The Server.mp4 (10.39 MB) 4 -Install AD Domain Services On The 2nd And 3rd Server.mp4 (47.28 MB) 5 -Install DNS On The 2nd And 3rd Server.mp4 (28.47 MB) 6 -Store The Zones In AD On The 1st Server Check If Zone is on 2nd 3rd DCs.mp4 (58.56 MB) 7 -Test To See If Client PC Can Register To The DNS Server.mp4 (14.53 MB) 8 -Change The Dynamic Updates To Secure Only Check to see If Client Can Register.mp4 (19.56 MB) 9 -Using The DNSCMD Specify which DCs will get a copy of the Zone.mp4 (66.96 MB) 1 -How Does The Hosts File Work and How Its Manipulated.mp4 (79.73 MB)] Screenshot AusFile https://ausfile.com/2uienvnc4dyt https://ausfile.com/filqcbt7ngn8 https://ausfile.com/riqrwjvkxhgt https://ausfile.com/f0ilh4objo02 https://ausfile.com/nfy7agrs42iq RapidGator https://rapidgator.net/file/72558af4be38cad661911e78b6ae6540/ https://rapidgator.net/file/9d1494322997f83b557e73e19bb6d401/ https://rapidgator.net/file/e33a43702f9ae948ec7adb21549b968c/ 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3.41 GB | 19min 17s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Project Demo.mp4 (73.8 MB) 10 User Profile Controller.mp4 (33.93 MB) 11 IsAuthenticated Middleware.mp4 (78.16 MB) 12 Getting OPenAI Key (ChatGPT).mp4 (40.18 MB) 13 OpenAI Controller for Generating Content (ChatGPT).mp4 (138.41 MB) 14 Implementing 3 Days Trial.mp4 (68.56 MB) 15 API Request Limit Middleware.mp4 (59.22 MB) 16 Integrate Stripe Payment for Subscription.mp4 (98.51 MB) 17 Handle Free Subscription.mp4 (142.84 MB) 18 Stripe Payment Verification.mp4 (169.89 MB) 19 Node-Cron Functions to expire subscription.mp4 (122.47 MB) 2 Creating Express Server.mp4 (54.01 MB) 20 Checking User authenticated Controller.mp4 (26.04 MB) 3 Data Modelling.mp4 (64.48 MB) 4 User Registration Controller.mp4 (88.07 MB) 5 MongoDB Connect Function.mp4 (91.91 MB) 6 Error Handling Middleware.mp4 (72.74 MB) 7 Login User Controller.mp4 (48.85 MB) 8 Generating Token Using JWT.mp4 (68.2 MB) 9 Logout controller.mp4 (20.53 MB) 1 React App and Tailwindcss installations.mp4 (53.94 MB) 10 User Dashboard.mp4 (210.21 MB) 11 Generating Content using ChatGPT.mp4 (216.73 MB) 12 Handling Free Subscriptions.mp4 (159.06 MB) 13 Stripe Payment Subscription Part 1.mp4 (216.41 MB) 14 Stripe Payment Subscription Part 2.mp4 (119.83 MB) 15 Payment Verification.mp4 (137.57 MB) 16 Display Content Generation History.mp4 (139.59 MB) 2 React Query Installation.mp4 (44.65 MB) 3 Installation of React Router Dom.mp4 (24.02 MB) 4 User Registration.mp4 (205.97 MB) 5 Login User.mp4 (56.61 MB) 6 Render Home-Dashboard Components.mp4 (79.81 MB) 7 Authentication Context.mp4 (101.91 MB) 8 Logout User.mp4 (103.34 MB) 9 Protecting Component.mp4 (62.68 MB)] Screenshot AusFile https://ausfile.com/8jk9nv6zrqv2 https://ausfile.com/r0ujiysn1pjs https://ausfile.com/mdp1a1t15gg7 https://ausfile.com/pgwbrc80en15 RapidGator https://rapidgator.net/file/ec81e6cbc03ce6cfe72e150978d9d87f/ https://rapidgator.net/file/d473c591ab3e95e8e33899d9e763c42b/ https://rapidgator.net/file/0c6889fac60c13518bfd0e1ba28f978e/ https://rapidgator.net/file/603471b69c755e02fb78ad7fcdd65657/

Mastering React.Js: Crafting Production-Grade Applications Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.11 GB | Duration: 5h 30m Mastering React.js: From Setup to Deployment, A Practical Guide for Building Professional-grade Applications What you'll learn Set up and configure a development environment for ReactJS Understand the essential tools, exercise files, React CLI, and React Developer Tools. Bootstrap a ReactJS project with the latest version of Bootstrap (Bootstrap 5). Construct a responsive layout using Bootstrap and create reusable components. Differentiate between stateless and stateful React components. Harness the power of the Hooks API for effective state management. Handle events, conditional rendering, and form submission. Implement complex logic with useReducer and create and dispatch actions. Utilize the Context API to manage the state of your React application globally. Create a context object and encapsulate application logic with a Provider component. Allow components to subscribe to context changes and update accordingly. Integrate Firebase into a React project seamlessly. Set up a new project in the Firebase Google console and install the Firebase services SDK. Work with Cloud Firestore to add, manage, and retrieve data. Sync data into Cloud Firestore and read from collections. Define React environment variables for secure data handling. Set up a bucket in Cloud Storage to store and retrieve images. Implement asynchronous functions for file upload and download. Update the UI with images and set document dates. Authenticate and manage users using Firebase Authentication. Implement state management for user authentication with the Context API. Secure data in Cloud Firestore and Cloud Storage based on user credentials. Install and configure React Router v6 for client-side routing. Create navigation components and configure routes. Implement conditional rendering and protect routes for enhanced security. Implement search and filter functionalities in your React application. Create new actions to handle filtered results and apply side effects. Master debugging techniques and subscribe to context changes for efficient debugging. Install the Firebase CLI and initialize a new project for deployment. Create a production build of your React app. Deploy your application to Firebase Hosting for a scalable and reliable production environment. Requirements Basic Understanding of JavaScript Familiarity with HTML and CSS Prior experience with web development concepts and practices will be beneficial but is not mandatory Students should have a text editor of their choice installed on their machines, such as Visual Studio Code, Atom, or Sublime Text. NodeJS and npm (Node Package Manager) should be installed on the student's computer to facilitate the installation of dependencies and the use of the React CLI. To fully participate in the course, students will need to create a Firebase account. Instructions on setting up a Firebase project will be provided during the course. Desire to Learn and Build Description Unlock the full potential of ReactJS through our comprehensive course, "Mastering ReactJS: Crafting Production-Grade Applications" From the fundamentals to advanced techniques, this course is designed to equip you with the skills needed to architect robust and scalable ReactJS applications. Each module is crafted to provide hands-on experience, ensuring that you not only understand the concepts but can apply them in real-world scenarios.Course Overview:In this course, you'll embark on a journey that covers everything from setting up your development environment to deploying a fully functional ReactJS application. Here's a glimpse of what you'll learn:Module 1: IntroductionGet started with ReactJS and set up your development environment.Understand essential tools, exercise files, React CLI, and React Developer Tools.Module 2: Start a New React ProjectAdd Bootstrap 5 to enhance your single-page application's UIBuild responsive layouts and create reusable components.Master the art of passing props to child components.Module 3: From Stateless to Stateful React ComponentsDive into Hooks API and handle events and state updatesLearn conditional rendering, form handling, and side effects with useEffectExplore advanced state management with useReducerModule 4: Manage the State of Your App with the Context APICreate a context object for managing global stateSet up a Provider component for encapsulating application logicModule 5: Add Firebase to Your React ProjectIntegrate Firebase into your applicationExplore Firebase services SDK and set up a new projectModule 6: Create and Connect to a Database (Firestore)Work with Cloud Firestore to add, manage, and retrieve dataSync data into Cloud Firestore and read data from a collectionModule 7: Create a Bucket to Store Images (Cloud Storage)Utilize Cloud Storage for storing and retrieving imagesImplement file upload and download functionalitiesModule 8: Authenticate and Manage Users (Firebase Auth)Implement user authentication with FirebaseManage user state with the Context API and custom hooksModule 9: Client-Side Routing with React-Router V6Install and configure React Router v6 for client-side routingCreate navigation components, implement conditional rendering, and protect routesModule 10: Filtering, Searching, and Learning to DebugImplement search and filter functionality in your applicationApply debugging techniques and subscribe to context changesModule 11: Deploy Your React App (Firebase Hosting)Use Firebase Hosting for deploying your production-ready React appLearn how to create a production build and deploy your site to the cloudJoin us on this immersive learning journey and ELEVATE your ReactJS development skills to build applications that meet professional standards. Overview Section 1: Introduction Lecture 1 Getting started and setting up Lecture 2 What you should know Lecture 3 The tools and the exercise files Lecture 4 The React CLI and the React Developer Tools Lecture 5 Project overview Section 2: Start a New React Project Lecture 6 Start a new project Lecture 7 Add Bootstrap 5 to your single-page application Lecture 8 Build a responsive layout with Bootstrap 5 Lecture 9 Build the UI and create reusable components Lecture 10 Pass props to child components Lecture 11 Challenge: Thinking in React Lecture 12 Solution: Breaking up the UI Section 3: From Stateless to Stateful React Components Lecture 13 Introduction to Hooks API Reference Lecture 14 Learn event handling and updating the state Lecture 15 Handle conditional rendering Lecture 16 Work with forms Lecture 17 Submit the form and apply side effects: useEffect Lecture 18 Validate and submit forms: useMemo Lecture 19 Handle complex logic with useReducer Lecture 20 Create and dispatch actions Lecture 21 Compose and update the UI Section 4: Manage the State of Your App with the Context API Lecture 22 Create a context object Lecture 23 Set up a Provider component to encapsulate the application logic Lecture 24 Challenge: Manage a global state Lecture 25 Solution: Allow components to subscribe to context changes Section 5: Add Firebase to Your React Project Lecture 26 Introduction to the Firebase Google console Lecture 27 Create a new project and a new application Lecture 28 Install the Firebase services SDK Section 6: Create and Connect to a Database (Firestore) Lecture 29 Get started with the Cloud Firestore Lecture 30 Learn to add and manage data Lecture 31 Set a new document and store and sync data into the Cloud Firestore Lecture 32 Learn to read data from a collection Lecture 33 Get documents and display them in the app Lecture 34 Define React environment variables Section 7: Create a Bucket to Store Images (Cloud Storage) Lecture 35 Get started with Cloud Storage on the web Lecture 36 Define an async function to send a file to storage Lecture 37 Upload a file to the storage Lecture 38 Download a file URL from storage Lecture 39 Set documents with images: Update the UI Lecture 40 Set documents with images: Set the date Section 8: Authenticate and Manage Users (Firebase Auth) Lecture 41 Start with Firebase Authentication and select the provider Lecture 42 Google Cloud Platform: Create new credentials Lecture 43 Authenticate and manage users from the application Lecture 44 Manage the state with the Context API: Component Provider Lecture 45 Manage the state with the Context API: Custom hook Lecture 46 Subscribe components to the context changes: User connected Lecture 47 Create new documents with the user connected Lecture 48 Secure your data in Cloud Firestore and Cloud Storage Section 9: Client-Side Routing with React-Router V6 Lecture 49 Install React router DOM v6 Lecture 50 Configure the routes and create a navigation component Lecture 51 Use Link component to navigate between pages Lecture 52 Allow navigation between multiple views Lecture 53 Conditional rendering and protected route Lecture 54 Use the React router hooks: useNavigate Lecture 55 Use the React router hooks: useLocation Lecture 56 Create the routes for "NotFound" and "Profile" Lecture 57 Display the active link Section 10: Filtering, Searching, and Learning to Debug Lecture 58 Implement a search and filter function Lecture 59 Create a new action to return filtered results Lecture 60 Subscribe to the context changes and apply side effects in the UI Section 11: Deploy Your React App (Firebase Hosting) Lecture 61 Install the Firebase CLI and initialize a new project Lecture 62 Create a production build and deploy your site to the cloud Section 12: Conclusion Lecture 63 Conclusion and Code Download Front-End Developers,Web Developers Seeking Scalability,JavaScript Developers,Intermediate ReactJS Developers,Aspiring Full-Stack Developers,Tech Enthusiasts and 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Hack Your Future: Cyber Security Projects for Your Dream Job Last updated 9/2023 Duration: 5h 37m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.36 GB Genre: eLearning | Language: English Complete Cyber Security Course for Beginners | From No Experience to CyberSecurity Projects on Your Resume | Learn Cyber What you'll learn Understand how to start a career in cyber security with no experience. Learn the steps to become a cyber security analyst and kickstart your career. Gain hands on experience in detecting, investigating, and remediating cyber security incidents using SIEM. Learn about the importance of cyber security projects for your resume. Gain hands on experience in scanning for vulnerabilities. Learn how to create and configure a honeypot in a cloud environment. Get hands on experience in configuring and securing a password manager hosted in AWS Cloud Gain hands on experience in creating and running AI-powered chatbots for cyber security incidents. Understand how to effectively present your experience and skills on a cyber security resume. Learn strategies for building powerful connections in the cybersecurity industry. Gain insights into effective cyber security job hunting techniques and strategies. Requirements Basics understanding of operating systems, networks and cloud. A willingness to learn Description Wondering how to get into cyber security with no prior experience? Look no further! This comprehensive cyber security course is specifically tailored for beginners like you, providing you with the knowledge and practical skills needed to kick-start your journey in this exciting field. From the very beginning, this cyber security course serves as a roadmap to success, guiding you through a series of hands-on projects that will propel you towards your dream cyber security job with no experience required. Bid farewell to uncertainty and embrace practical skills that will make your entry level cyber security resume stand out from the rest with impressive cyber security projects. By the end of the course, you will have an impressive entry level cyber security resume that effectively showcases the cyber security projects you have completed. To ensure you make a professional impact, you will also receive a specially designed cyber security resume template, tailored to highlight your achievements. In this course you will Deploy a Vulnerability Scanner: Learn to identify and address security flaws while gaining expertise in securing systems. This hands-on experience will make you an invaluable asset to any organization. Host a Password Manager in the Cloud: Acquire essential skills in secure access management and cloud-based security solutions. Showcase your ability to safeguard sensitive data and fortify systems against threats. Explore the World of HoneyPots: Track and analyze real-time cyber threats by creating and configuring a HoneyPot in the Azure Cloud. Demonstrate your proactive approach to cybersecurity. Harness the Power of Microsoft Sentinel SIEM: Deploy, configure, and investigate security incidents using advanced features and artificial intelligence. Gain expertise in incident detection, response, and remediation while leveraging cutting-edge technologies. Fuse AI with SIEM: Integrate ChatGPT with your SIEM and automate incident response. Showcase your ability to leverage artificial intelligence for efficient cybersecurity operations. By completing these hands-on projects and incorporating them into your cybersecurity resume, you will demonstrate your practical expertise and prove that you have what it takes to excel in the cybersecurity field. These cybersecurity project experiences will provide you with valuable hands on expertise that sets you apart from the competition and strengthens your cyber security experience on your resume. You'll be able to confidently discuss and demonstrate your practical skills during interviews, impressing potential employers with your ability to apply cyber security principles to real-world scenarios. Enroll in this course and take the first step towards building an entry level cyber security resume with impressive cyber security projects that capture the attention of employers and open doors to exciting career opportunities in the field. Don't let no experience in cyber security hold you back and seize this opportunity to shape your future. Who this course is for: Beginners who are interested in starting a career in cyber security. Individuals with no experience in cyber security but a strong desire to learn. Students or recent graduates seeking to become cyber security analysts and enhance their knowledge and skills. Professionals from non-technical backgrounds looking to transition into the cybersecurity field. IT professionals interested in expanding their expertise to include cyber security. Those who want to gain practical experience in cyber security projects for their resume. Students or professionals interested in cloud cyber security projects and technologies. Those who want to learn how to effectively showcase their cyber security experience and skills on their resume. Anyone aiming to master the job search and application process specifically in the cyber security industry. 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VLSI/FPGA Resume Project: 2D DMA Controller with APB+AXI Inf Published 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 10m | Size: 1.1 GB Final Kick of Goal at Interview What you'll learn Concept of DMA Operation Design Spec. of this 2D DMA Controller Hardware Architecture Analysis Learn to Design Complex IP by Youself RTL Code Walkthrough Behavior Model of AXI Slave and APB Master Complex IP Verificaiton Enviroment Complete Zynq FPGA Project that Implement Plants Vs. Zombizes Game Using this IP Designed by Yourself Requirements Digital Fundamental Verilog APB3/AXI4 Bus Protocol Description In this course, you'll design a useful and complex IP block named as 2D DMA controller. For design part, it may take about 2000+ lines of Verilog code. I will also give an application example of this IP blocks: the Plants Vs. Zombies 2D game on zynq7010 FPGA platform. Using this powerful DMA block, actually you can make any 2D games. This's just effort of software.If you follow me to finish this project, it must be a big plus that can make your stand out from other candidates. And you can learn to design other complex IP blocks.1~5 enrollment: 80% discount;6~10 enrollment: 70% discount;11~20 enrollment: 60% discount;21~30 enrollment: 50% discount;31~40 enrollment: 40% discount;41~50 enrollment: 30% discount;51~99 enrollment: 25% discount;Please contact the instructor for coupon of discount.It' a rich feature 2D DMA controller with APB3+AXI4 interface. It's specially designed for image/video application, while compatible with traditional 1D DMA controller. Here are the main features (should be competitive with DMA IP from ARM or Synopsys):1) source/destination address can start from any byte location (no need 32bit aligned);2) Support data copy of 2D window with data length in each dimension is[y_size, x_size];3) Value range for x_size is[4, 65536];4) Value range for y_size is[1, 65536];5) There can be any number of byte gap after each line of x_size byte; And the gap for source/destination can be different;6) Support scatter-gather mode (command linked list); Once started by SW, it can copy at most 256 blocks of 2D window;7) Utilize some advanced feature to AXI bus protocol to improve data bandwidth: read cmd outstanding, read date out-of-order, concurrency of read/write on AXI interface;Any Tech. problem, you can drop your question in a discussion group, using slack APP. Please check the introduction section for detailed Info. about technic support.Wish you can find a decent job in VLSI/FPGA design. Who this course is for Graduate Student Who Wants to Seek a Job in VLSI/FPGA Design Engineers Who Wants to Improve VLSI/FPGA Design Skill DDownload https://ddownload.com/kf5k85navrvo/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part1.rar https://ddownload.com/fxc32szbkbnk/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part2.rar https://ddownload.com/gc6rwzku4vjz/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part3.rar https://ddownload.com/8by0vcslcfd9/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part4.rar AusFile https://ausfile.com/sjigmmbuznnp/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part1.rar https://ausfile.com/nb9om4rbvdux/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part2.rar https://ausfile.com/zqteiiof2ozb/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part3.rar https://ausfile.com/rdwcbdwewacv/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part4.rar RapidGator https://rapidgator.net/file/31842bd995b54fec36431809b3f037d9/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part1.rar https://rapidgator.net/file/5deead53f599cd89afc0c2a5b4b5ea1d/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part2.rar https://rapidgator.net/file/8f9c138cc013f3781d8cefa6660f0cb9/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part3.rar https://rapidgator.net/file/04881f0eb81df26657279397f34c2aab/yxusj.Udemy_VLSIFPGA_Resume_Project_2D_DMA_Controller_with_APB_AXI_Inf.part4.rar

Ultimate System Administrator Course Published 4/2025 Duration: 15h 26m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.1 GB Genre: eLearning | Language: English Master Windows, Linux, Servers, Networking, Scripting, and More - Everything You Need to Become a Pro Sysadmin! What you'll learn - Confidently manage Windows and Linux systems in a business environment - Deploy, configure, and maintain servers including DNS, DHCP, file servers, and web servers - Use Active Directory and Group Policy to manage users, devices, and security policies - Automate tasks using PowerShell and Bash scripting - Implement backup strategies and create effective disaster recovery plans - Secure systems using industry best practices and basic hardening techniques - Monitor performance and troubleshoot issues in both local and cloud-based environments - Understand networking fundamentals and how they relate to system administration Requirements - Familiarity with common IT terms and concepts (helpful, but not required) - A passion for tech and a willingness to learn hands-on skills - Access to a computer (Windows or Linux) and a stable internet connection Description Ready to take control of IT systems and become the backbone of any organization? The Ultimate System Administrator Course is your complete, hands-on guide to mastering the essential skills every modern SysAdmin needs. Whether you're aiming for your first IT job, moving up from help desk, or strengthening your current system administration knowledge, this course is designed to walk you through everything step-by-step. You'll learn how to manage both Windows and Linux systems, configure critical services like DNS, DHCP, and Active Directory, and get hands-on with virtualization and scripting. We cover real-world tools and techniques that system administrators use daily. You'll set up servers, secure your environment, troubleshoot performance issues, and automate repetitive tasks to save time and boost productivity. Key topics include: Installing and managing Windows & Linux operating systems User, group, and permission management Server roles (DNS, DHCP, file services, etc.) Active Directory and Group Policy PowerShell and Bash scripting Backup and disaster recovery strategies System hardening and security Monitoring tools and troubleshooting techniques Whether you're working toward your first job in IT, pursuing a promotion, or just want to feel confident managing systems at home or at work-this course is packed with practical knowledge you can apply immediately. No prior sysadmin experience is required. Just bring your curiosity and commitment to learning. Join now and start your journey to becoming a skilled, confident System Administrator! 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Deep Learning Image Classification In Pytorch 2.0 Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.68 GB | Duration: 4h 26m Deep Learning | Computer Vision | Image Classification Model Training and Testing | PyTorch 2.0 | Python3 What you'll learn Learn to prepare an image classification dataset. Learn to process the dataset by using image_folder and by extending the dataset class from torchvision. Learn to prepare and test the data pipeline. Learning about Data augmentation such as resize, cropping, ColorJitter, RandomHorizontalflip, RandomVerticalFlip, RandomRotation. Understanding the detail architecture of LeNet, VGG16, Inception v3, and ResNet50 with complete block diagram. Learn to train the model on less data through transfer learning. Learning about training pipeline to train any image classification model. Learning about inference pipeline to display the result. Learning about evalution process of image classification model through Precision, Recall, F1 Score, and Accuracy. Requirements Basic knowledge of Python Access to internet connection Basic understanding of CNNs Description Welcome to this Deep Learning Image Classification course with PyTorch2.0 in Python3. Do you want to learn how to create powerful image classification recognition systems that can identify objects with immense accuracy? if so, then this course is for you what you need! In this course, you will embark on an exciting journey into the world of deep learning and image classification. This hands-on course is designed to equip you with the knowledge and skills necessary to build and train deep neural networks for the purpose of classifying images using the PyTorch framework.We have divided this course into Chapters. In each chapter, you will be learning a new concept for training an image classification model. These are some of the topics that we will be covering in this course:Training all the models with torch.compile which was introduced recently in Pytroch2.0 as a new feature.Install Cuda and Cudnn libraires for PyTorch2.0 to use GPU. How to use Google Colab Notebook to write Python codes and execute code cell by cell.Connecting Google Colab with Google Drive to access the drive data.Master the art of data preparation as per industry standards. Data processing with torchvision library. data augmentation to generate new image classification data by using:- Resize, Cropping, RandomHorizontalFlip, RandomVerticalFlip, RandomRotation, and ColorJitter.Implementing data pipeline with data loader to efficiently handle large datasets.Deep dive into various model architectures such as LeNet, VGG16, Inception v3, and ResNet50.Each model is explained through a nice block diagram through layer by layer for deeper understanding.Implementing the training and Inferencing pipeline.Understanding transfer learning to train models on less data.Display the model inferencing result back onto the image for visualization purposes. By the end of this comprehensive course, you'll be well-prepared to design and build image classification models using deep learning with PyTorch2.0. These skills will open doors to a wide range of applications, from classifying everyday objects to solving complex image analysis problems in various industries. Whether you're a beginner or an experienced data scientist, this course will equip you with the knowledge and practical experience to excel in the field of deep learning(Computer Vision).Feel Free to message me on the Udemy Ques and Ans board, if you have any queries about this Course. We give you the best reply in the shortest time as soon as possible.Thanks for checking the course Page, and I hope to see you in my course. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 what is PyTorch ? Lecture 3 Installing Python and PyCharm Lecture 4 Installing Cuda Libraries Lecture 5 Installing PyTorch Package Lecture 6 Introduction to Colab Section 2: Data Preparation and Processing in PyTorch Lecture 7 About Dataset Preparation Lecture 8 Data Processing with ImageFolder Lecture 9 Implementation of Data Processing with ImageFolder Lecture 10 Data Processing with Custom Class Lecture 11 Implementation of Data Processing with Custom Class Lecture 12 Testing Data Preparation Pipeline Section 3: LeNet Lecture 13 LeNet-5 Architecture Lecture 14 Implementation of LeNet Model Lecture 15 Issue while Training Model on Colab Lecture 16 Training LeNet Model in PyTorch 2.0 Part1 Lecture 17 Training LeNet Model in PyTorch 2.0 Part2 Lecture 18 Inferencing LeNet Model in PyTorch 2.0 Section 4: VGG 16 Model Lecture 19 VGG 16 Model Architecture Lecture 20 Implementation of VGG 16 Model Lecture 21 Training VGG 16 Model in PyTorch 2.0 Lecture 22 Inferencing VGG 16 Model in PyTorch 2.0 Section 5: Inception Model Lecture 23 Inception Model Architecture Lecture 24 Implementation of Inception Model Lecture 25 Training Inception Model in PyTorch 2.0 Lecture 26 Inferencing Inception Model in PyTorch 2.0 Section 6: ResNet Model Lecture 27 ResNet 50 Model Architecture Lecture 28 Implementation of ResNet 50 Model Lecture 29 Training ResNet Model in PyTorch 2.0 Lecture 30 Inferencing ResNet Model in PyTorch 2.0 Section 7: Conclusion Lecture 31 Thank You Python developer who is interested in Deep Learning,Deep Learning enthusiasts who wants to understand Architecture of Image Classification Models such ResNet, VGG, LeNet, Inception,Deep Learning enthusiasts who wants to learn new features of PyTorch 2.0.,Deep Learning enthusiasts who is learning Computer Vision and wants to train and evaluate various image classification models,Deep Learning enthusiasts who wants to learn how to build an custom image classification data AusFile https://ausfile.com/ia4xt90w8koa/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part1.rar https://ausfile.com/8mioxsjukl3n/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part2.rar https://ausfile.com/7s13ouiqbp3r/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part3.rar https://ausfile.com/kxiwqe85licu/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part4.rar DDownload https://ddownload.com/3i0afa549w9b/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part1.rar https://ddownload.com/ddxfwtkna79e/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part2.rar https://ddownload.com/be8kxwkp37vx/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part3.rar https://ddownload.com/0lngcj0exbkm/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part4.rar RapidGator https://rapidgator.net/file/1945b27eab453f9932efc5d8ab8f8d91/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part1.rar https://rapidgator.net/file/2bdf93a2de3337932ac40820bf487dbf/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part2.rar https://rapidgator.net/file/753c90bdad4954375928e3cc45058c2f/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part3.rar https://rapidgator.net/file/82ce1d8685f246ab8872282d36655ffe/yxusj._Deep_Learning_Image_Classification_in_PyTorch_2.0.part4.rar

Bootstrap 5 Essential Training : With Projects MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 11.18 GB | Duration: 8h 24m Master Bootstrap 5 and build real-world projects with best practice What you'll learn You will learn the Latest Bootstrap v5 Framework Learn the Bootstrap 5 utilities, classes, components & JS widgets Learn to design and develop your own Bootstrap 5 Templates from scratch Learn how to work with responsive images Downloadable source code Requirements You Should have good HTML & CSS Knowledge You do NOT need to know any Bootstrap 3 or Bootstrap 4 Knowledge A code editor and a browser You don't need any prior experience with Bootstrap (or any other frameworks). Description Welcome to Bootstrap 5 Essential Training: With Projects. In this course, you will learn bootstrap 5 step by step. After completing the series, I will create some projects so you know how to create projects with the skills, and If I missed something in the course it will cover also the project. Always after learning skills we should create some projects for solid learning. This course covers all the different parts of the latest version of the world's most popular front-end framework, Bootstrap 5. It has been used on millions of websites around the world and has been carefully developed to cover a wide range of typical user interfaces.In order to start Bootstrap, you need basic knowledge of HTML, and CSS and if you know JavaScript it will be great but not mandatory. In order to learn Bootstrap 5, you do not need to learn older technologies like v4 or v3. In this course you will learn Bootstrap 5 utilities, classes, components & JS widgets, You will be able to create a project from scratch. I also uploaded all resources, if you stack them anywhere, you can check them. So what are you waiting for? Enroll and learn the world's most popular front-end framework Bootstrap.My course is designed to help you gain practical, real-world experience with Bootstrap. You'll learn by doing as you create beautiful projects that showcase the full potential of this popular framework. By the end of the course, you'll have a comprehensive understanding of Bootstrap's core concepts, and you'll be ready to create your own projects with ease.With a focus on projects, you'll quickly discover just how exciting and fun it can be to learn Bootstrap. You'll gain the skills and confidence you need to create dynamic, responsive websites that look great on any device.Don't miss this opportunity to learn Bootstrap and take your web development skills to the next level. Enroll in my course today and start creating stunning projects that showcase the power and flexibility of Bootstrap! Who this course is for: Beginners For More Courses Visit & Bookmark Your Preferred Language Blog From Here: English - Français - Italiano - Deutsch - Español - Português - Polski - Türkçe - Русский AusFile https://ausfile.com/o5ptdmb200cq/yxusj._Bootstrap_5_Essential_Training_With_Projects.part1.rar https://ausfile.com/yo81lt24b2sr/yxusj._Bootstrap_5_Essential_Training_With_Projects.part2.rar https://ausfile.com/bdwyy3hpfbj3/yxusj._Bootstrap_5_Essential_Training_With_Projects.part3.rar https://ausfile.com/1sgyp630vejb/yxusj._Bootstrap_5_Essential_Training_With_Projects.part4.rar https://ausfile.com/gxdvto8u9zfs/yxusj._Bootstrap_5_Essential_Training_With_Projects.part5.rar https://ausfile.com/i8cn81ga73sx/yxusj._Bootstrap_5_Essential_Training_With_Projects.part6.rar DDownload https://ddownload.com/cihevm3c0jxw/yxusj._Bootstrap_5_Essential_Training_With_Projects.part1.rar https://ddownload.com/n1n05isqk2ml/yxusj._Bootstrap_5_Essential_Training_With_Projects.part2.rar https://ddownload.com/uv9ug73tk1gh/yxusj._Bootstrap_5_Essential_Training_With_Projects.part3.rar https://ddownload.com/7cf33kdktbkv/yxusj._Bootstrap_5_Essential_Training_With_Projects.part4.rar https://ddownload.com/d7352q7qfsw1/yxusj._Bootstrap_5_Essential_Training_With_Projects.part5.rar https://ddownload.com/8q5ggi72j9mj/yxusj._Bootstrap_5_Essential_Training_With_Projects.part6.rar RapidGator https://rapidgator.net/file/5f856a41cce14c5ce352294c8996d128/yxusj._Bootstrap_5_Essential_Training_With_Projects.part1.rar https://rapidgator.net/file/da0e291b5488823ed9154b5ac513a715/yxusj._Bootstrap_5_Essential_Training_With_Projects.part2.rar https://rapidgator.net/file/fbb43d2d990978326e87a70cfd600ea7/yxusj._Bootstrap_5_Essential_Training_With_Projects.part3.rar https://rapidgator.net/file/4b9f41e7c52d84dbfbbc1d1ea0749c25/yxusj._Bootstrap_5_Essential_Training_With_Projects.part4.rar https://rapidgator.net/file/b4500bec7f414e1d22c1691577cd380b/yxusj._Bootstrap_5_Essential_Training_With_Projects.part5.rar https://rapidgator.net/file/86f56e94ca9b9a64562217a2a216a515/yxusj._Bootstrap_5_Essential_Training_With_Projects.part6.rar

The Complete Agentic AI Engineering Course (2025) 2025-04-30 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 13.89 GB | Duration: 16h 57m Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP. What you'll learn How Apply Agentic AI to real-world commercial problems. Architect Agentic solutions with proven, best practice design patterns. Connect LLMs to collaborate using the fundamentals of Agentic AI, like Tools, Structured Outputs, Memory. Create Autonomous Agentic applications with CrewAI, including Agents that write and execute codeRapidly build Agentic products with OpenAI Agents SDK. Build robust and repeatable Agentic solutions with LangGraph. Pioneer at the forefront of Agentic AI with AutoGen AgentChat and AutoGen Core. Unlock the vast capabilities of open-source tools and resources enabled by Anthropic's Model Context Protocol (MCP). Deliver groundbreaking commercial solutions, drawing on experience from 8 real-world projects. Requirements While it's ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I've included a whole folder of self-study labs that cover foundational technical and programming skills. If you're new to coding, there's only one requirement: plenty of patience! The course runs best if you have a small budget for APIs, but it's totally your choice. You can complete the entire course with no API spend. If you do wish to use frontier models, the typical spend would be under $5. You can choose to access more capabilities if you're comfortable spending a little more. Description 2025 is the year that Agents enter the workforce. This is nothing short of a watershed moment for Artificial Intelligence. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities.This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP.Above all, this is a hands-on course. I'm a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We'll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing's for sure: all are powerful demonstrations of Agentic AI's potential to utterly transform the business landscape.So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You'll be well-versed in the strengths and traps of Agentic AI. You'll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you'll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI. Who this course is for: Well, perhaps I'm biased, but I'd say: anyone and everyone! If you're fascinated in the potential of Agents and hungry to have the skills to create powerful Agentic AI - then you've come to the right place. While it's most suited to those with programming experience, I've designed the course to work for all backgrounds. 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2023 Learn Python Programming from Python Basics to Advanced Last updated 11/2022 Duration: 7h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.12 GB Genre: eLearning | Language: English Python Programming from Python Basics to Advanced Python OOP and GUI Apps in Python - File Handling and Database. What you'll learn learn Python language in detail (python Basics + python Advanced + python GUI programming (tkinter)) pythonFile Handling, python Database, python Regex, python Decorators and more in python Python Object Oriented Programming - Class and Object, Inheritance, Polymorphism, Abstraction & Encapsulation python Loops(for while), python conditionals(if else), Numbers and Strings, lists, functions, set in python python Graphical User Interface (GUI) programming using tkinter (Menu, Widgets, ttk Module and more ) python python Tic Tac Toe Game detail explanation from coding to GUI in python Requirements No prior knowledge of python or programming is required. Computer and Internet connection Description Learn Python Programming from Python Basics to Advanced Python I strongly recommend this course for students who are new to Python or Programming and want to learn python in a way that is easy to understand So this course will take you from writing you first line of code to learning Advanced python concepts (Including code editors guide) In Advanced section we will be learning: Python File Handling Python Database Python Object Oriented Programming Python Nested loops in python Python List Comprehension Python Nested List Comprehension Python Functions Python Decorators Python Regular Expression (Regex Python) Python GUI Programming To give you a birds eye view of what we will be learning in these topics that I have mentioned above I will explain each of then blow. Object Oriented Programming Python It's very important to learn OOP concepts like CLASS OBJECT INHERITANCE POLYMORPHISM ENCAPSULATION ABSTRACTION We will not only cover them in code but also in visual explanations that will help you understand the concept way better. File Handling Python Learning how to manipulate files is very important. So we will see how to Make a FILE Write in a FILE Update a FILE Delete a FILE Techniques to handle files better using python. And tasks for you as well with solution like Counting words in a file Counting letters in a file Database Python Learning how to manipulate Databases is very important too. So we will see how to Make a Database Add in Database Remove form Database And many for things Nested Loops and List Comprehension It can be difficult to understand "Nested" concepts that how exactly things are executed step by step, so I have visual explanation for that too and it will be very easy after understanding those visuals. Python Regular Expression (Regex Python) We will learn searching and validation using regular expression and see how we can execute that in python. For example: Validating an email address using python regex. Searching in a file using python regex. Basics of Python has following topics: python strings, python numbers, python lists, python tuple, python loops, python for loop, python while loop, python conditionals, python if else, python elif Advanced Python include: python functions, python decorators, python list comprehension, python nested for loop, python file handling, python database handling, python Object Oriented Programming, python Class, python Object, python Inheritance, python Polymorphism, python abstraction, python encapsulation GUI python Python tkinter module, python ttk module, python tic tac toe game. We will learn how different widgets in python tkinter module work and will make a tables app that has an interface as well. We will make functional python tic tac toe game. Learn python programming in sequence: Topics are in sequence, python basics and advanced python areas covers python topics one after the other so no need to worry about what python topics to learn after which python topic. Things to consider in this python course: Learn Python Programming in fun and easy way. Learn Python Programming Step by Step. Learn Python Programming with Visual Animations. Learn Python Programming fast. Learn Python Programming with practice (I will give you python tasks and also give you solution of those tasks in python language) Object Oriented Programming Python Concepts like Class and Object can be difficult to understand if not taught well, so animations in this course will be beneficial for you to understand these concepts. Decorators Python Concepts like decorators in python where you can add in the functionality of functions are explained not only in code but also in visual explanations for better understandings. This course on python teaches you the necessary subjects in python programming that can help you in smoothly going further in your python programming journey. To be a good programmer having good fundamentals grip is very important either its python or any other programming languages other than python. There are concepts and things common in different programming languages so by taking this course on python it can also help you in other languages like java and more. So in this course we will learn fundamentals in python programming language. When grip over python basics is strong then subjects like Python Object Oriented Programming, python file handling, python Database are important to learn so we will learn them as well in python programming language. When python basics and python advanced topics are covered then having knowledge of GUI using python is a plus, we will learn that as well in python programming language. Learn concepts like: python numbers, python strings, python tuple, python list, python loops, python functions, python decorators, python files, python db, python oop, python inheritance, python polymorphism, python abstraction, python GUI, python widgets, python game tic tac toe with python UI, python ttk, python tkinter. 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Master MBD using MATLAB, Simulink & Stateflow 2025-04-09 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 5.65 GB | Duration: 12h 37m Master the Future of Automotive Engineering: Model-Based Development (MBD) with MATLAB, Simulink & Stateflow What you'll learn Understand Model-Based Development (MBD) Fundamentals - Learn the core concepts of MBD and how it streamlines the automotive engineering design process. Develop and Simulate Automotive Control Systems in MATLAB & Simulink -Gain hands-on experience in designing, simulating & validating automotive control system Implement Stateflow for Logic-Based Control Design - Learn to model event-driven systems, state machines, and decision logic for automotive applictions Optimize & Validate Embedded Automotive Software - Develop skills code generation, testing & debugging to ensure the reliability & safety of automotive software Requirements Basic Knowledge of Automotive Systems (Recommended but Not Required) - Understanding of vehicle dynamics, control systems, or embedded systems is helpful but not mandatory. Fundamentals of Programming (Recommended, But Not Essential) -Basic knowledge of programming (e.g., C, Python, or MATLAB scripting) is useful but not required. Description Are you an Automotive Professional looking to advance your skills in Model-Based Design (MBD)? Or a Student aspiring to build a career in the automotive industry? This course is designed to bridge the gap between theory and industry-ready skills.What You'll Learn:MATLAB, SIMULINK & Stateflow Training - Build interactive applications for automotive simulations.Automotive Systems Overview - Gain a deep understanding of modern vehicle architectures.Programming Basics - Learn essential coding skills for automotive applications.Hands-On Project - Apply your knowledge in a practical, industry-relevant project. (Like Vehicle Key Ignition system)What Skills You'll Develop:Analyze & Design Automotive Control SystemsControl Logic Development for Various Automotive Control SystemsSimulate, Debug & Test Automotive Control SystemsEnhance Safety & Security of Automotive SoftwareWith these skills Working Professionals will be able to deliver quality inputs to the complex projects enabling products to achieve new levels of Excellence in Automotive industry.Why Take This Course?Industry-Relevant Skills - Learn the tools and techniques used by automotive engineers.Project-Based Learning - Gain hands-on experience to stand out in job applications.Beginner to Advanced Concepts - Perfect for professionals and students alike.Upgrade your automotive career today! Enroll now and take the first step towards mastering Model-Based Design (MBD) using MATLAB, Simulink and Stateflow for automotive systems. Who this course is for: This course is designed for a wide range of learners who are eager to master Model-Based Development (MBD) using MATLAB, Simulink, and Stateflow in the automotive industry. Whether you're a beginner or an experienced engineer, this course will provide valuable insights and practical skills., Automotive Engineers & Designers with background in Electronics, Mechanical, Electrical, and Mechatronics Engineering - can be Working Professionals, Students & Recent Graduates. 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Learn How To Code Games In Roblox Studio Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.05 GB | Duration: 6h 12m Learn how to create Roblox games in an easy to understand step by step course What you'll learn An understanding of Lua the coding language used to create Roblox Games. The basic concepts of computer programming How to get set up to create your first Roblox game by creating an account and downloading and installing Roblox Studio. How to move, scale and rotate your Roblox parts. How to create a script, make objects spawn and how to program your Humanoid Roblox Player and much more. How to Use Roblox Toolbox and create your own models, save them and import them into your projects How to code the Leaderboard for multi-player games and save player data during the game. Design, Test, and Play your own game from beginning to end. You will be able to use all the concepts and coding you learnt in this course to create your own interactive games on Roblox. Requirements Have use of a PC or Mac with an internet connection Able to download software from roblox. Have WinZip or Archive to expand compressed files Description Roblox is one of the most popular entertainment platforms for players under the age of 18, with 1 Billion hours of Roblox being played each month by over 80 Million Roblox players. Roblox's mission is to bring the world together through play. "We enable anyone to imagine, create, and have fun with friends as they explore millions of immersive 3D experiences, all built by a global community of developers." There are currently over 4 million active developers and creators producing their own games using Roblox Studio. As of March 2019 98 million dollars has been paid to these community developers. My course will teach you how to set up and create your first Roblox game. The course is divided into 5 Sections. It is designed to be taken in the order it is presented. Section 1 - I show you how to create a Roblox account, and install and use Roblox Studio. Section 2 - We then learn about coding concepts and how they work . Section 3 - We begin to develop a "Camping Game" and discuss the rules and how to implement them using Lua code. Section 4 - We continue to develop our game, adding more functionality and learn some more advanced coding techniques. Section 5 - We polish our game and discuss how to take what you have learned and develop it further. Using the concepts you have learnt by creating this game you will be able to develop it further or use your own ideas to create your own game in Roblox Studio. Who this course is for Beginner Lua Programmers Roblox players Roblox coders Beginner Coders Gamers AusFile https://ausfile.com/mdkgecssy8f4/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part1.rar https://ausfile.com/rbwf2i1yvif2/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part2.rar https://ausfile.com/0qf0tgrytrhp/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part3.rar https://ausfile.com/ee9q52iheojk/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part4.rar https://ausfile.com/nedfq5v51kk5/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part5.rar https://ausfile.com/gcptcbss6r64/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part6.rar DDownload https://ddownload.com/tiwcalvp7ne9/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part1.rar https://ddownload.com/68ris6y1fck9/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part2.rar https://ddownload.com/blinqzbs5qmr/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part3.rar https://ddownload.com/q61zcqxs49da/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part4.rar https://ddownload.com/v8qdy71ly3bk/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part5.rar https://ddownload.com/k82ngthdaoc4/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part6.rar RapidGator https://rapidgator.net/file/b6787f22501f09a9127ab84eccd5f974/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part1.rar https://rapidgator.net/file/f1f7cdebb1fe747f5b1195c8a703f026/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part2.rar https://rapidgator.net/file/17b2d68e3040645379966fea82332512/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part3.rar https://rapidgator.net/file/0ed97846246008ec95d42b2d33161401/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part4.rar https://rapidgator.net/file/86d1d0fd2d35c64a2e8f6f3a99aad6cf/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part5.rar https://rapidgator.net/file/3cd98ca66c923b5e8b426ad7e069a305/yxusj..-.Learn.How.To.Code.Games.In.Roblox.Studio.2025.part6.rar

Learn and Understand NodeJS Last updated 6/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.00 GB | Duration: 13h 9m Dive deep under the hood of NodeJS. Learn V8, Express, the MEAN stack, core Javascript concepts, and more. What you'll learn Grasp how NodeJS works under the hood Understand the Javascript and technical concepts behind NodeJS Structure a Node application in modules Understand and use the Event Emitter Understand Buffers, Streams, and Pipes Build a Web Server in Node and understand how it really works Use npm and manage node packages Build a web application and API more easily using Express Connect to a SQL or Mongo database in Node Understand how the MEAN stack works Be the coder that explains NodeJS to everyone else because you understand it better than anyone else Requirements Basic Javascript knowledge (variables, loops, and basic functions) Basic HTML knowledge A text editor Description NodeJS is a rapidy growing web server technology, and Node developers are among the highest paid in the industry. Knowing NodeJS well will get you a job or improve your current one by enabling you to build high quality, robust web applications.In this course you will gain a deep understanding of Node, learn how NodeJS works under the hood, and how that knowledge helps you avoid common pitfalls and drastically improve your ability to debug problems. In this course we'll look at how the C++ written V8 Javascript engine works and how NodeJS uses it to expand the abilities of Javascript. You'll learn how to structure your code for reuse and to be easier to understand, manage, and expand using modules and understand how modules really work.You'll learn how asynchronous code works in Node and the Node event loop, as well as how to use the event emitter, streams, buffers, pipes, and work with files. We'll see how that leads to building a web server in Node. We'll dive into web sites, web apps and APIs with Express and learn how Express can save us time as Node developers.You'll also gain an understanding of npm, connecting to databases, and the MEAN stack!During it all you'll gain a deep understanding of the Javascript concepts and other computer science concepts that power Node.NodeJS doesn't have to be hard to learn. The biggest mistake most coding tutorials make is expecting someone to learn simply by imitating others' code. Real world situations are never exactly like the tutorial.I believe the best way to learn is to understand how a tool works and what it does for you, look at examples, and then try it yourself. That's how this course is built, with the goal to help you both learn and understand NodeJS.Note: In this course you'll also get downloadable source code. You will often be provided with 'starter' code, giving you the base for you to start writing your code, and 'finished' code to compare your code to. Those looking to build a career as a NodeJS developer,Those desiring to become MEAN stack developers,Those who don't have server technology experience but wish to gain this skill,Those coming from other server technologies (like PHP, ASP.NET, or Ruby on Rails) and want to learn Node,Those who want to only have to write both client and server code in one language: Javascript,Those who want to grasp Express AusFile https://ausfile.com/iu5y6wqwcr5a/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part1.rar https://ausfile.com/1qi8xsonrgwe/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part2.rar https://ausfile.com/t7i9yaocb46z/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part3.rar https://ausfile.com/xq10pokrw5r2/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part4.rar https://ausfile.com/o8fktkm51kvf/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part5.rar https://ausfile.com/8109paq9ujkr/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part6.rar https://ausfile.com/f4z04ashbjyo/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part7.rar DDownload https://ddownload.com/lz4d43b5rl6c/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part1.rar https://ddownload.com/0lmtrwkm5xpz/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part2.rar https://ddownload.com/oeoalgkpvxv9/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part3.rar https://ddownload.com/ny4k3dao4h5y/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part4.rar https://ddownload.com/ol825fbg94k3/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part5.rar https://ddownload.com/9bfm33gw7bxe/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part6.rar https://ddownload.com/egw2g4667r29/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part7.rar RapidGator https://rapidgator.net/file/7a2de7c7b480ac751857c638182d3de3/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part1.rar https://rapidgator.net/file/493658374c1f14636a83b3938d5ae57c/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part2.rar https://rapidgator.net/file/9d7d31f8235c57c72630100998ed9ca1/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part3.rar https://rapidgator.net/file/6ce809e65029736c5313a75e32c5340f/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part4.rar https://rapidgator.net/file/57fc0fb096d69b2928a93457a1baa5f7/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part5.rar https://rapidgator.net/file/20e7818df192bf6729bcf84a2f106ef5/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part6.rar https://rapidgator.net/file/0994e6c3a485275e1940f0beadf4b112/yxusj..-.Learn.and.Understand.NodeJS.Go.Deeper.Than.Projects.2025.part7.rar

Mastering Dbt (Data Build Tool) - From Beginner To Pro Published 4/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.98 GB | Duration: 6h 46m Analytics Engineering Bootcamp to take you from beginner to advanced dbt, and get hands-on with dbt Cloud! What you'll learn How to build a complete dbt project from scratch The main benefits of dbt, and a bit of background as to how it came about All of the dbt fundamentals: sources, models, tests, documentation, snapshots, seeds, macros, hooks, and operations How to structure a dbt project How to version control changes to your code with GitHub Advanced dbt testing - creating your own custom singular & generic tests, setting severity, and setting warn/error thresholds Advanced dbt data modelling - including incremental and ephemeral models and what type to use (& when) Advanced dbt commands - how to use different selectors, different profiles, tags, indirect test selection and building a local dbt documents site Advanced dbt jinja & macros - creating your own macros to use in hooks / functions / operations, using jinja for loops and variables, and the target function How to deploy your project on dbt Cloud, how to use the dbt Cloud UI, and using environment variables How to use tests & macros from external packages to supercharge your dbt project Best practises to use when running a dbt project (based on lots of experience!) How to create a complete setup for Mac or Windows: installing all of the tools and getting a dbt specific VSCode setup! Requirements Basic SQL No Python experience needed Mac / Windows machine which is capable of installing Python, Git, and VSCode (we'll run through all of this in the course!) Description Welcome to the 2023 Mastering dbt (data build tool) course!Thank you for taking the time to look at my course! I have over 7 years of experience across Analytics / Analytics Engineering / Data Science, including 4 years using dbt on a daily basis. I was also involved in the rollout of dbt in my time at Monzo.MY APPROACH TO THIS COURSE:This course is designed to take you from only needing beginner SQL to being comfortable with everything in dbt: from the basic data modelling right through to all of the advanced features such as creating custom tests and macros. We'll be doing this step by step, and build from the basics upwards.It's focused on practical outcomes - we won't be spending ages on database theory, or going into lots of detail on the dataset, instead we'll be aiming to get you up to advanced dbt levels as quickly as possible.For this course, we'll be using a free public dataset in Google BigQuery centred around a fictional eCommerce business.Use Snowflake, Redshift, Databricks, or anything other than BigQuery? Don't worry! I've used dbt with both BigQuery and Snowflake myself and all of the knowledge you learn on this course will be transferable.The focus of this course is not around exploring the entire dataset - instead I've tried to keep it to the minimum number of data models needed to get the core concepts across.Access to this dataset is free, and the amount of data you'll be using in BigQuery will be free. I go into this a bit more in the course - but please don't worry about any additional costs.For every video where we're writing code, I've created lesson attachments with the final outputs. This means you can either code as you go along, or watch the videos and look at the handouts afterwards! I've also included some theory with these handouts to help hammer home the points made in the videos.This course isn't static! I'd love to hear your feedback and will be updating this course on an ongoing basis.COURSE STRUCTURE:This course focuses on first getting a good understanding of what problems dbt solves, then building a basic dbt project, before layering on more advanced concepts and finally deploying our project with dbt Cloud.IntroductionA bit of theory (<1 hour) around dbt, what problems existed in the data stack before it came along, and how it solves them.Tool setupGetting set up with Python, GitHub, Google BigQuery, VSCode, and of course dbt! If you're familiar with any of these tools already then you are more than welcome to skip the appropriate lessons.We'll also be exploring the fictional eCommerce dataset that we'll be using throughout the course.Building our basic dbt projectThis section focuses on creating our project from scratch, including how we will structure our project. We'll be building out staging (stg), intermediate (int), and mart data models, including documentation & testing with the out-of-the-box dbt tests.Advanced dbt testingWe'll start to build on our basic dbt project by setting test severity & thresholds, using the dbt-utils and dbt-expectations external packages for their excellent selection of tests, creating our own custom singular & generic tests, and testing the freshness of our source data.Advanced data modelling with dbtNext, we'll be looking at how we can create reusable documentation, seed files (version controlled .csv files), snapshots (capturing changes to data tables), and materialisation methods.Most of this section will be focused on the last part - the materialisation methods: ephemeral, view, table, and incremental. By this point we'll have encountered view & table models and we will be building both an incremental and an ephemeral model - and you will gain an understanding of what to use and when.Advanced dbt commandsThis section will focus less on changing our dbt project, but instead all of the major dbt commands and how (and when) to use them.Advanced Jinja & macrosThe final changes to our project will involve using Jinja - a core feature of dbt and arguably it's most complex but powerful feature - and using it to create our own macros.This section will run through how you can use Jinja macros for hooks, operations, and as reusable functions in your SQL models. It'll also run through some theory around Jinja, common mistakes, and what I (personally) find to be what it's most useful for!dbt CloudFinally, we'll be exploring how to take our project and deploy it on dbt Cloud - including how to schedule it to run on a regular basis. We'll also be looking at dbt Cloud itself and its main benefits. Overview Section 1: Introduction Lecture 1 Instructor introduction Lecture 2 Course outline Lecture 3 Course introduction Lecture 4 A brief history of the data stack Lecture 5 Benefits of dbt - inferring dependencies Lecture 6 Benefits of dbt - documentation & testing Lecture 7 Benefits of dbt - Python-like functionality Lecture 8 How dbt has solved a lot of problems in the data stack Lecture 9 How dbt fits in the data stack Lecture 10 dbt Core vs. dbt Cloud Section 2: Getting set up with your tools Lecture 11 Section overview Lecture 12 Creating a Gmail account Lecture 13 Setting up a BigQuery project with billing Lecture 14 (Optional) If you have issues with BigQuery billing Lecture 15 The BigQuery UI Lecture 16 The dataset you'll be using Lecture 17 (Mac) Installing Python 3.10 Lecture 18 (Windows) Installing Python 3.10 Lecture 19 Downloading VSCode and setting up shortcuts Lecture 20 Creating a GitHub account Lecture 21 Forking vs. cloning Lecture 22 Forking the repository Lecture 23 (Optional) If you have issues syncing your forked repository Lecture 24 Installing the recommended extensions in VSCode Lecture 25 What's a virtual environment (venv)? Lecture 26 Setting up our virtual environment and installing packages Lecture 27 Setting up dbt for BigQuery Lecture 28 Trialling our model dbt project Lecture 29 Setting up dbt autocomplete Lecture 30 Run through of how our final project will look Section 3: Building the basic dbt project Lecture 31 The dbt init command Lecture 32 Version control with GitHub Lecture 33 Setting up dbt Power User Lecture 34 How we'll structure our project Lecture 35 Creating our first source (src) yml file Lecture 36 Creating our first staging (stg) SQL model Lecture 37 Running our first staging (stg) SQL model Lecture 38 Creating our first model yml file Lecture 39 Adding tests to our first model yml file Lecture 40 Setting up our models to materialise as tables instead of views Lecture 41 Getting the rest of our staging (stg) SQL models set up Lecture 42 Using dbt clean to get table materialisation working Lecture 43 Getting the rest of the staging (stg) yml files set up Lecture 44 Taking stock of our staging (stg) data models Lecture 45 The target folder Lecture 46 Getting our first intermediate (int) SQL model set up Lecture 47 Getting our first intermediate (int) yml file set up Lecture 48 Getting our mart SQL model set up Lecture 49 Getting our mart yml file set up Lecture 50 Our basic dbt project is now complete! Section 4: Advanced dbt: testing Lecture 51 Setting default test severity in dbt_project.yml Lecture 52 Setting test severity and thresholds Lecture 53 The external dbt packages we'll be using Lecture 54 dbt_utils and dbt_expectations Lecture 55 Custom singular tests Lecture 56 Custom generic tests Lecture 57 Applying advanced tests to our whole project Lecture 58 Source freshness tests Section 5: Advanced dbt: data modelling Lecture 59 The doc function Lecture 60 Seed files Lecture 61 dbt snapshots Lecture 62 Materialisation types Lecture 63 Materialisation: ephemeral models Lecture 64 Materialisation: incremental models Lecture 65 (Optional) Partitioning a table in BigQuery Section 6: Advanced dbt: commands and selectors Lecture 66 Commands for a clean dbt run Lecture 67 Using different dbt profiles Lecture 68 Selectors Lecture 69 Tags Lecture 70 Indirect test selection Lecture 71 dbt test with -warn-error Lecture 72 dbt build Lecture 73 dbt docs generate / serve Section 7: Advanced dbt: jinja and macros Lecture 74 Jinja comments, statements, and expressions Lecture 75 The 3 types of macro: functions, hooks, operations Lecture 76 (Optional) dbt Jinja function reference Lecture 77 Macros: operations Lecture 78 Macros: functions (building a basic macro) Lecture 79 Macros: hooks Lecture 80 Jinja statements: for loops and setting variables Lecture 81 (Optional) Jinja: using the target function Section 8: dbt Cloud Lecture 82 Creating a dbt Cloud account Lecture 83 Setting up a service account Lecture 84 Connecting GitHub to dbt Cloud Lecture 85 The dbt Cloud IDE Lecture 86 Deploying jobs on dbt Cloud Data Analysts,Data Scientists,Analytics Engineers,Data Engineers,BI Professionals,Anyone interested in getting into data! AusFile https://ausfile.com/40e7ne4oi0cw/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part1.rar https://ausfile.com/ywyn0eijy2o2/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part2.rar https://ausfile.com/dhbzkab6ks00/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part3.rar https://ausfile.com/h3quomsh9egm/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part4.rar DDownload https://ddownload.com/saz08o1387ni/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part1.rar https://ddownload.com/fe5ppdrb0ds3/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part2.rar https://ddownload.com/8prp7tz5fzjp/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part3.rar https://ddownload.com/5drpj7frs0wq/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part4.rar RapidGator https://rapidgator.net/file/8df7fa628a65ea72ada71e881d53dac5/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part1.rar https://rapidgator.net/file/5c0dde711753c58ddc7b983991b3f66d/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part2.rar https://rapidgator.net/file/0e906591d468965bf2124f47bc4be1e0/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part3.rar https://rapidgator.net/file/3d3e9b2d168616348c86b92f98404142/yxusj..-.2025.Mastering.dbt.Data.Build.Tool.-.From.Beginner.to.Pro.1080.part4.rar

Mastering Dbt (Data Build Tool) - From Beginner To Pro Published 4/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.98 GB | Duration: 6h 46m Analytics Engineering Bootcamp to take you from beginner to advanced dbt, and get hands-on with dbt Cloud! What you'll learn How to build a complete dbt project from scratch The main benefits of dbt, and a bit of background as to how it came about All of the dbt fundamentals: sources, models, tests, documentation, snapshots, seeds, macros, hooks, and operations How to structure a dbt project How to version control changes to your code with GitHub Advanced dbt testing - creating your own custom singular & generic tests, setting severity, and setting warn/error thresholds Advanced dbt data modelling - including incremental and ephemeral models and what type to use (& when) Advanced dbt commands - how to use different selectors, different profiles, tags, indirect test selection and building a local dbt documents site Advanced dbt jinja & macros - creating your own macros to use in hooks / functions / operations, using jinja for loops and variables, and the target function How to deploy your project on dbt Cloud, how to use the dbt Cloud UI, and using environment variables How to use tests & macros from external packages to supercharge your dbt project Best practises to use when running a dbt project (based on lots of experience!) How to create a complete setup for Mac or Windows: installing all of the tools and getting a dbt specific VSCode setup! Requirements Basic SQL No Python experience needed Mac / Windows machine which is capable of installing Python, Git, and VSCode (we'll run through all of this in the course!) Description Welcome to the 2023 Mastering dbt (data build tool) course!Thank you for taking the time to look at my course! I have over 7 years of experience across Analytics / Analytics Engineering / Data Science, including 4 years using dbt on a daily basis. I was also involved in the rollout of dbt in my time at Monzo.MY APPROACH TO THIS COURSE:This course is designed to take you from only needing beginner SQL to being comfortable with everything in dbt: from the basic data modelling right through to all of the advanced features such as creating custom tests and macros. We'll be doing this step by step, and build from the basics upwards.It's focused on practical outcomes - we won't be spending ages on database theory, or going into lots of detail on the dataset, instead we'll be aiming to get you up to advanced dbt levels as quickly as possible.For this course, we'll be using a free public dataset in Google BigQuery centred around a fictional eCommerce business.Use Snowflake, Redshift, Databricks, or anything other than BigQuery? Don't worry! I've used dbt with both BigQuery and Snowflake myself and all of the knowledge you learn on this course will be transferable.The focus of this course is not around exploring the entire dataset - instead I've tried to keep it to the minimum number of data models needed to get the core concepts across.Access to this dataset is free, and the amount of data you'll be using in BigQuery will be free. I go into this a bit more in the course - but please don't worry about any additional costs.For every video where we're writing code, I've created lesson attachments with the final outputs. This means you can either code as you go along, or watch the videos and look at the handouts afterwards! I've also included some theory with these handouts to help hammer home the points made in the videos.This course isn't static! I'd love to hear your feedback and will be updating this course on an ongoing basis.COURSE STRUCTURE:This course focuses on first getting a good understanding of what problems dbt solves, then building a basic dbt project, before layering on more advanced concepts and finally deploying our project with dbt Cloud.IntroductionA bit of theory (<1 hour) around dbt, what problems existed in the data stack before it came along, and how it solves them.Tool setupGetting set up with Python, GitHub, Google BigQuery, VSCode, and of course dbt! If you're familiar with any of these tools already then you are more than welcome to skip the appropriate lessons.We'll also be exploring the fictional eCommerce dataset that we'll be using throughout the course.Building our basic dbt projectThis section focuses on creating our project from scratch, including how we will structure our project. We'll be building out staging (stg), intermediate (int), and mart data models, including documentation & testing with the out-of-the-box dbt tests.Advanced dbt testingWe'll start to build on our basic dbt project by setting test severity & thresholds, using the dbt-utils and dbt-expectations external packages for their excellent selection of tests, creating our own custom singular & generic tests, and testing the freshness of our source data.Advanced data modelling with dbtNext, we'll be looking at how we can create reusable documentation, seed files (version controlled .csv files), snapshots (capturing changes to data tables), and materialisation methods.Most of this section will be focused on the last part - the materialisation methods: ephemeral, view, table, and incremental. By this point we'll have encountered view & table models and we will be building both an incremental and an ephemeral model - and you will gain an understanding of what to use and when.Advanced dbt commandsThis section will focus less on changing our dbt project, but instead all of the major dbt commands and how (and when) to use them.Advanced Jinja & macrosThe final changes to our project will involve using Jinja - a core feature of dbt and arguably it's most complex but powerful feature - and using it to create our own macros.This section will run through how you can use Jinja macros for hooks, operations, and as reusable functions in your SQL models. It'll also run through some theory around Jinja, common mistakes, and what I (personally) find to be what it's most useful for!dbt CloudFinally, we'll be exploring how to take our project and deploy it on dbt Cloud - including how to schedule it to run on a regular basis. We'll also be looking at dbt Cloud itself and its main benefits. Overview Section 1: Introduction Lecture 1 Instructor introduction Lecture 2 Course outline Lecture 3 Course introduction Lecture 4 A brief history of the data stack Lecture 5 Benefits of dbt - inferring dependencies Lecture 6 Benefits of dbt - documentation & testing Lecture 7 Benefits of dbt - Python-like functionality Lecture 8 How dbt has solved a lot of problems in the data stack Lecture 9 How dbt fits in the data stack Lecture 10 dbt Core vs. dbt Cloud Section 2: Getting set up with your tools Lecture 11 Section overview Lecture 12 Creating a Gmail account Lecture 13 Setting up a BigQuery project with billing Lecture 14 (Optional) If you have issues with BigQuery billing Lecture 15 The BigQuery UI Lecture 16 The dataset you'll be using Lecture 17 (Mac) Installing Python 3.10 Lecture 18 (Windows) Installing Python 3.10 Lecture 19 Downloading VSCode and setting up shortcuts Lecture 20 Creating a GitHub account Lecture 21 Forking vs. cloning Lecture 22 Forking the repository Lecture 23 (Optional) If you have issues syncing your forked repository Lecture 24 Installing the recommended extensions in VSCode Lecture 25 What's a virtual environment (venv)? Lecture 26 Setting up our virtual environment and installing packages Lecture 27 Setting up dbt for BigQuery Lecture 28 Trialling our model dbt project Lecture 29 Setting up dbt autocomplete Lecture 30 Run through of how our final project will look Section 3: Building the basic dbt project Lecture 31 The dbt init command Lecture 32 Version control with GitHub Lecture 33 Setting up dbt Power User Lecture 34 How we'll structure our project Lecture 35 Creating our first source (src) yml file Lecture 36 Creating our first staging (stg) SQL model Lecture 37 Running our first staging (stg) SQL model Lecture 38 Creating our first model yml file Lecture 39 Adding tests to our first model yml file Lecture 40 Setting up our models to materialise as tables instead of views Lecture 41 Getting the rest of our staging (stg) SQL models set up Lecture 42 Using dbt clean to get table materialisation working Lecture 43 Getting the rest of the staging (stg) yml files set up Lecture 44 Taking stock of our staging (stg) data models Lecture 45 The target folder Lecture 46 Getting our first intermediate (int) SQL model set up Lecture 47 Getting our first intermediate (int) yml file set up Lecture 48 Getting our mart SQL model set up Lecture 49 Getting our mart yml file set up Lecture 50 Our basic dbt project is now complete! Section 4: Advanced dbt: testing Lecture 51 Setting default test severity in dbt_project.yml Lecture 52 Setting test severity and thresholds Lecture 53 The external dbt packages we'll be using Lecture 54 dbt_utils and dbt_expectations Lecture 55 Custom singular tests Lecture 56 Custom generic tests Lecture 57 Applying advanced tests to our whole project Lecture 58 Source freshness tests Section 5: Advanced dbt: data modelling Lecture 59 The doc function Lecture 60 Seed files Lecture 61 dbt snapshots Lecture 62 Materialisation types Lecture 63 Materialisation: ephemeral models Lecture 64 Materialisation: incremental models Lecture 65 (Optional) Partitioning a table in BigQuery Section 6: Advanced dbt: commands and selectors Lecture 66 Commands for a clean dbt run Lecture 67 Using different dbt profiles Lecture 68 Selectors Lecture 69 Tags Lecture 70 Indirect test selection Lecture 71 dbt test with -warn-error Lecture 72 dbt build Lecture 73 dbt docs generate / serve Section 7: Advanced dbt: jinja and macros Lecture 74 Jinja comments, statements, and expressions Lecture 75 The 3 types of macro: functions, hooks, operations Lecture 76 (Optional) dbt Jinja function reference Lecture 77 Macros: operations Lecture 78 Macros: functions (building a basic macro) Lecture 79 Macros: hooks Lecture 80 Jinja statements: for loops and setting variables Lecture 81 (Optional) Jinja: using the target function Section 8: dbt Cloud Lecture 82 Creating a dbt Cloud account Lecture 83 Setting up a service account Lecture 84 Connecting GitHub to dbt Cloud Lecture 85 The dbt Cloud IDE Lecture 86 Deploying jobs on dbt Cloud Data Analysts,Data Scientists,Analytics Engineers,Data Engineers,BI Professionals,Anyone interested in getting into data! 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