kingers

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7.4 GB | 01:39:31 | mkv | 1920X1080 | 16:9 | 9866 Kbps ,Channels :6 Language:English Genres:: Documentary iMDB info Discover the story of the greatest civil rights movement most people have never heard about. During eight tumultuous days in 1988 at the world's only Deaf university, four students must find a way to lead a revolution-and change the course of history. ScreenShot Download link : RapidGator https://rapidgator.net/file/e8a2b1e6637c539c9416d7cbfc662ca3/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part1.rar https://rapidgator.net/file/a3c359f2ba5c40e99ac0657a41c14015/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part2.rar https://rapidgator.net/file/a568c52c9689e888819698fa1866c8fc/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part3.rar https://rapidgator.net/file/78ac04a19a05ad57097afe898d49ee7d/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part4.rar https://rapidgator.net/file/be698b2101d1cefc7250fe0dc2653333/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part5.rar https://rapidgator.net/file/98b430b6bec84e19eb9b546ea8804b4d/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part6.rar https://rapidgator.net/file/dfe6ff6bb052677dc8482903bf9d1d1c/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part7.rar https://rapidgator.net/file/eca9caba474bed0f3bc30c83055a9738/Deaf.President.Now.2025.1080p.WEB.h264ETHEL.part8.rar

2.99 GB | 38min 24s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Download and Installation of Visual Code Studio.mp4 (16.26 MB) 2 -Project Setup and Live Server Installation.mp4 (31.88 MB) 3 -Download and Installation of Node JS.mp4 (20.32 MB) 4 -How to create React App.mp4 (65.98 MB) 5 -Writing our first JSX code in React.mp4 (72.16 MB) 6 -Understanding React JS Fragment.mp4 (39.67 MB) 1 -Introduction to useEffect React Hook.mp4 (60.79 MB) 2 -Color Change using useEffect React Hook.mp4 (38.63 MB) 3 -Get windows width and height using useEffect React Hook.mp4 (111.45 MB) 4 -Create Digital Clock in React JS (Part 1).mp4 (107.52 MB) 5 -Create Digital Clock in React JS (Part 2).mp4 (161.87 MB) 1 -Introduction to useContext React Hook.mp4 (94.71 MB) 1 -Introduction to useRef in React JS.mp4 (64.32 MB) 2 -Inspect Color Change with useRef in React JS.mp4 (80.14 MB) 3 -Build a Stopwatch in React JS.mp4 (274.39 MB) 1 -Mastering Functional Component in React JS.mp4 (65.84 MB) 2 -How to add CSS Styling in React.mp4 (71.59 MB) 3 -How to create a Card Component in React.mp4 (88.54 MB) 1 -Introduction to Props in React JS.mp4 (29.41 MB) 2 -Mastering Props, PropTypes and defaultProps in React JS.mp4 (86.16 MB) 1 -Conditional Rendering in React JS using If-Else Statement.mp4 (32.02 MB) 2 -Conditional Rendering in React JS using Ternary operator.mp4 (29.62 MB) 3 -Conditional Rendering in React JS using Logical Operator.mp4 (37.09 MB) 4 -Multiple Conditional Rendering in React JS.mp4 (39.76 MB) 5 -Add CSS Styling to Conditional Rendering in React JS.mp4 (41.33 MB) 1 -List Rendering in React JS.mp4 (37.26 MB) 2 -How to Render Multi-Array List in React JS using Key.mp4 (47.38 MB) 3 -Sorting and Filtering List in React JS.mp4 (40.55 MB) 1 -Create Alert Box using Event Handler in React JS.mp4 (32.77 MB) 2 -Event Parameters in React JS.mp4 (47.74 MB) 1 -Introduction to useState Hook in React Hooks.mp4 (46.05 MB) 2 -Create Digit Counter using useState Hook in React JS.mp4 (46.91 MB) 1 -Form Input using onChange( ) Event Handler in React JS.mp4 (44.41 MB) 2 -Build Ecommerce Form using onChange( ) Event Handler in React JS.mp4 (178.06 MB) 3 -Build a Color Picker App in React JS.mp4 (99.99 MB) 1 -Introduction to Updater Function in React JS.mp4 (45.33 MB) 2 -How to Update Objects in State.mp4 (86.52 MB) 3 -How to Update Array in State.mp4 (100.79 MB) 4 -How to Update Array Objects in React JS.mp4 (166.67 MB) 5 -Create a To Do List App in React JS.mp4 (106.27 MB) 6 -Styling To Do List App with CSS.mp4 (82.18 MB) 7 -Add functionality on To Do List App.mp4 (93.74 MB)] Screenshot AusFile https://ausfile.com/r03ggsx2irlf https://ausfile.com/mgrqd1viygx8 https://ausfile.com/hmv66llubrgp https://ausfile.com/3z0ltvs1chlo RapidGator https://rapidgator.net/file/9e6e8b1402a9e5975cb5fef53e3c37d2/ https://rapidgator.net/file/be0207cbc49b92e8301ab4ba25e981e4/ https://rapidgator.net/file/7dd8f5503ef07f20bd08a313a4e1a636/ https://rapidgator.net/file/949c901c7ce9552a04312f5ba5993289/

10.81 GB | 25min 50s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Course Overview.mp4 (98.96 MB) 2 -Important Tips for the Course.mp4 (82.53 MB) 3 -Explanation of the Links for the Course.mp4 (24.78 MB) 4 -Instructor Introduction Arnold Oberleiter (Arnie).mp4 (25.16 MB) 5 -Quick Start with RAG Using Google's NotebookLM.mp4 (179.33 MB) 1 -Recap Thank You and What Comes Next.mp4 (224.04 MB) 1 -What to Expect in This Section.mp4 (38.94 MB) 2 -LLMs Explained ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & More.mp4 (215.26 MB) 3 -Function Calling How LLMs Communicate with Tools via APIs and use RAG.mp4 (79.73 MB) 4 -Vector Databases, Embedding Models, Tok-K and Chunking for RAG.mp4 (134.47 MB) 5 -What is a API.mp4 (59.43 MB) 6 -ChatGPT Basics Interface, Models, Settings, GPTs and the OpenAI Playground.mp4 (243.36 MB) 7 -Test Time Compute Explained Thinking Models like Deepseek R1 & OpenAI o3 & o4.mp4 (72.74 MB) 8 -Recap of RAG, Vectordatabases, Top-K, Chunking, LLMs, Function Calling & APIs.mp4 (75.73 MB) 1 -What You'll Learn in This Section about RAG and GPTs.mp4 (36.37 MB) 2 -First RAG Bot from PDFs with GPTs Data Preparation (Markdown) & System Prompts.mp4 (242.88 MB) 3 -Transforming an HTML Webpage into a RAG Chatbot.mp4 (110.76 MB) 4 -Building a RAG Bot from a YouTube Video.mp4 (110.21 MB) 5 -Training ChatGPT on Your Writing Style via Retrieval‑Augmented Generation.mp4 (75.18 MB) 6 -Using a CSV File as Data Source for a RAG Bot.mp4 (101.63 MB) 7 -Unlocking the Power of GPTs - Drive Traffic to Your Links and So Much More.mp4 (71.27 MB) 8 -Recap What You've Learned and What You Should Do!.mp4 (65.21 MB) 1 -What You'll Learn in This Section RAg with Ollama & Anything LLM.mp4 (34.42 MB) 2 -Ollama Fundamentals Installation, Models, Commands, Server & Hardware.mp4 (160.71 MB) 3 -AnythingLLM Basics Integration with Ollama, Settings and Interface.mp4 (88.36 MB) 4 -Chunk Size & Chunk Overlap for your Embeddings.mp4 (86.5 MB) 5 -Creating a Local RAG Chatbot with AnythingLLM and Ollama.mp4 (78.01 MB) 6 -Control AI Behavior System Prompt, Top-K, Similarity Search, Memory Temperature.mp4 (42.39 MB) 7 -Overview of Agent Capabilities Web Search, Python Interpreter, Scraping & MCPs.mp4 (75.81 MB) 8 -Key Takeaways for Ollama and AnythingLLM with RAG.mp4 (61.66 MB) 1 -Section Overview How to Use APIs to Build Your Own Applications.mp4 (66.32 MB) 10 -Exporting and Importing Flows as JSON.mp4 (22.61 MB) 11 -Creating Your Own Chatbot UI Interface & Frontend for Flowise.mp4 (78.45 MB) 12 -Running a RAG Chatbot Locally with Ollama & LangChain (Data Security).mp4 (125.49 MB) 13 -Flowise Tool-Agent One Workflow to Connect Any API & LLM (Openrouter & Claude).mp4 (353.67 MB) 14 -Tool Agent with RAG Pinecone, Function Calling & APIs (Postgres & Supabase).mp4 (311.97 MB) 15 -Prompt Engineering System Prompts for AI Agents and RAG Agents.mp4 (226.57 MB) 16 -AI Agents (Multi-Agents) with Multiple LLM Experts and RAG.mp4 (346.2 MB) 17 -Sequential Agents with Human‑in‑the‑Loop and self-improving Agentic RAG.mp4 (372.89 MB) 18 -Recap Key Learnings of RAG Agents with APIs, LangChain & LangGraph in Flowise.mp4 (160.22 MB) 2 -OpenAI API Explained Pricing, Project Setup, Management & GDPR Compliance.mp4 (122.29 MB) 3 -OpenAI Playground and Response API Simplifying RAG, Images, Audio & more.mp4 (213.36 MB) 4 -LangChain, LangGraph & Flowsie Key Tools for AI Workflows in this section.mp4 (35.28 MB) 5 -Setting Up Node js for Flowise Installation, Management & Usage Options.mp4 (41.58 MB) 6 -Fixing Flowise Installation Issues Manage Node Versions with NVM.mp4 (26.6 MB) 7 -Installing Flowise with Node js via Command Prompt (and update your instance).mp4 (70.85 MB) 8 -The Flowise Interface & Overview LangChain & LangGraph made Easy.mp4 (147.24 MB) 9 -Build a RAG Chatflow Web Scraping, Embeddings, Vector Database & HTML Splitter.mp4 (297.56 MB) 1 -What You'll Learn in This Section n8n!.mp4 (53.69 MB) 2 -Local Installation of n8n with Node js and the Interface (+ free test version).mp4 (89.77 MB) 3 -Managing Node Versions with nvm (Fixing Errors in n8n Installation).mp4 (21.48 MB) 4 -Updating n8n Locally via Node js.mp4 (23.79 MB) 5 -n8n Basics Triggers, Actions, Nodes, Models and More.mp4 (119.81 MB) 6 -RAG Bot for Lead Generation Built with n8n, Pinecone & Google Sheets.mp4 (284.29 MB) 7 -Use my workflows Exporting, Importing & Combining n8n Workflows as JSON Format.mp4 (43.09 MB) 8 -Converting a Website into a RAG Chatbot via HTML Requests & Scraping.mp4 (338.36 MB) 9 -Section Wrap‑Up of n8n.mp4 (38.6 MB) 1 -What You'll Learn in This Section Self-Hosting, Building & Selling RAG-Agents.mp4 (56.84 MB) 10 -Integrating n8n RAG Bots into Websites HTML, WordPress & Custom CSS Branding.mp4 (224.73 MB) 11 -Selling RAG Agents Marketing, Offers, Sales & More.mp4 (363.32 MB) 12 -Recap Hosting, Self-Hosting and Selling RAG Agents.mp4 (70.41 MB) 2 -Hosting Flowise on Render Step‑by‑Step.mp4 (150.56 MB) 3 -Building a RAG Chatbot for a Client Click by Click with Flowise Tool Agent.mp4 (92.46 MB) 4 -Enhancing LangGraph Chatbot Branding and Style on Replit.mp4 (89.31 MB) 5 -Embedding a RAG Chatbot into a WordPress Site.mp4 (38.49 MB) 6 -Add Your Logo & Final Bot Finetuning for a Polished Look.mp4 (25.61 MB) 7 -Additional Settings for Your LangChain LangGraph App in Flowise.mp4 (68.94 MB) 8 -Hosting n8n Self-Hosting with Render, Hostinger & Other Options.mp4 (212.66 MB) 9 -n8n RAG Lead Bot as a Standalone App with a Published URL (hostet version).mp4 (82.63 MB) 1 -What's Ahead Special Workflows, Advanced RAG Techniques & MCP.mp4 (35.75 MB) 10 -LightRAG Fast & Cost‑Effective Alternative to GraphRAG.mp4 (45.45 MB) 11 -[POWERFUL] Contextual Retrieva Improving RAG via Anthropic's Chunking Strategy.mp4 (249.9 MB) 12 -Choosing the Right Strategy GraphRAG, LightRAG, CAG, or Contextual Retrieval.mp4 (77.95 MB) 13 -Recap Special Workflows, Advanced Strategies & MCPs (Model Context Protocol).mp4 (119.09 MB) 2 -MCP (Model Context Protocol) Explained MCP Server, Client & API Work Together.mp4 (116.04 MB) 3 -Using Clade Desktop as an AI Agent (MCP Host) with MCP Server in n8n.mp4 (226.91 MB) 4 -Native MCP Server & MCP Host in n8n Like Calling Another Workflow.mp4 (142.04 MB) 5 -Connecting ChatGPT with n8n via Webhooks for AI Automations.mp4 (124.54 MB) 6 -Connecting Flowise to n8n Use HTTP Post Request & cURL Import.mp4 (106.24 MB) 7 -Connecting n8n to Flowise Webhooks & Google Sheets via JavaScript.mp4 (256.03 MB) 8 -Cache‑Augmented Generation (CAG) instand of RAG.mp4 (79.73 MB) 9 -GraphRAG from Microsoft More Accurate RAG Results with Knowledge Graphs.mp4 (46.67 MB) 1 -What We'll Cover and Initial Challenges Overview.mp4 (84.1 MB) 10 -EU & US Compliance GDPR, (DSGVO) CCPA, CPRA & the EU AI Act.mp4 (90.93 MB) 11 -Recap Important Points to Remember.mp4 (110.55 MB) 2 -Security Warning for Telegram in n8n.mp4 (63.9 MB) 3 -Jailbreaks Attacks on LLMs and Agents via Prompts.mp4 (186.84 MB) 4 -Prompt Injections as Attacks on Agents and LLMs.mp4 (109.37 MB) 5 -Data Poisoning and Backdoor Attacks.mp4 (56.4 MB) 6 -Copyrights & Intellectual Property of Generated Data from AI Agents.mp4 (107.11 MB) 7 -Data Privacy for Your Own and Customer Data, GDPR and EU AI Act.mp4 (44.86 MB) 8 -Censorship, Alignment, & Bias in LLMs like Deepseek, ChatGPT, Claude, or Gemini.mp4 (26.03 MB) 9 -Can you sell AI agents, AI Automations or the codebase from n8n.mp4 (60.53 MB)] Screenshot AusFile https://ausfile.com/0u1f7s9ypvku https://ausfile.com/etq5nh0n86lt https://ausfile.com/vb77c9l8b39m https://ausfile.com/9dtrowk3mbqg https://ausfile.com/hve3xouh7x0a https://ausfile.com/3gmydt45vj42 https://ausfile.com/p4ed3rhoohi0 https://ausfile.com/31iclbngmna4 https://ausfile.com/8nh4qk6zkv9k https://ausfile.com/kzqeympq43n9 https://ausfile.com/9u88tm263r8a https://ausfile.com/wl33duf7b20r RapidGator https://rapidgator.net/file/3bff84210d20581d7cba370f92db5dff/ https://rapidgator.net/file/d00e1dd014e3a5cb56565f58c9ccb9c5/ https://rapidgator.net/file/35176b5a226feca111880c81e4d9aba1/ https://rapidgator.net/file/416ecbdb0a273dfc0af936145ada7ded/ https://rapidgator.net/file/bf57a8a1cd344a0a6148bf0e43c9f765/ https://rapidgator.net/file/30915c5b65fa2cb4fdc4dcc3172471cf/ https://rapidgator.net/file/6571bc266285198282bcd1671aa1fe52/ https://rapidgator.net/file/3a9faef4da6889b5b7ede495469add8a/ https://rapidgator.net/file/5735c159832ec511afd7a6768649f9fa/ https://rapidgator.net/file/90a0ce869433415bdd7a5078ce00961b/ https://rapidgator.net/file/6f0b501f9fa2137f8918e1283660849f/ https://rapidgator.net/file/12463f4f5d3152ea768bd0fb0060973d/

2.12 GB | 00:32:16 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : Appendix A Book publishers.mp4 (7.93 MB) Appendix A Code display tools.mp4 (2.87 MB) Appendix A Publishing and writing resources.mp4 (24.53 MB) Appendix A Selective tech publications.mp4 (8.37 MB) Appendix A Visualization tools.mp4 (1.68 MB) Appendix A Writing and editing tools.mp4 (8.86 MB) Appendix B AI uses and abuses.mp4 (38.72 MB) Appendix B Checking grammar.mp4 (7.98 MB) Appendix B Getting fast feedback on your rough draft.mp4 (7.75 MB) Appendix B Visualizing.mp4 (8.52 MB) Appendix B Writing.mp4 (28.69 MB) Chapter 1 Excuses for not writing.mp4 (35.83 MB) Chapter 1 Summary.mp4 (1.71 MB) Chapter 1 The path forward.mp4 (12.31 MB) Chapter 1 Why write.mp4 (56.75 MB) Chapter 1 Why write A personal perspective.mp4 (14.66 MB) Chapter 10 Characteristics.mp4 (13.88 MB) Chapter 10 Dos and don ts.mp4 (12.21 MB) Chapter 10 Examples of How We Built It blog posts.mp4 (36.02 MB) Chapter 10 Summary.mp4 (3.05 MB) Chapter 10 The How We Built It pattern.mp4 (13.23 MB) Chapter 10 Audience.mp4 (4.44 MB) Chapter 11 Audience.mp4 (2.03 MB) Chapter 11 Characteristics.mp4 (13.96 MB) Chapter 11 Dos & don ts.mp4 (9.08 MB) Chapter 11 Examples of Lessons Learned blog posts.mp4 (33.45 MB) Chapter 11 Summary.mp4 (2.74 MB) Chapter 11 The Lessons Learned pattern.mp4 (13.14 MB) Chapter 12 Audience.mp4 (1.06 MB) Chapter 12 Characteristics.mp4 (13.57 MB) Chapter 12 Dos & don ts.mp4 (16.38 MB) Chapter 12 Examples of Thoughts on Trends blog posts.mp4 (35.8 MB) Chapter 12 Summary.mp4 (2.36 MB) Chapter 12 The Thoughts on Trends pattern.mp4 (10.76 MB) Chapter 13 Audience.mp4 (3.27 MB) Chapter 13 Characteristics.mp4 (8.48 MB) Chapter 13 Dos & don ts.mp4 (18.2 MB) Chapter 13 Examples of Non-markety Product Perspectives blog posts.mp4 (32.17 MB) Chapter 13 Summary.mp4 (2.9 MB) Chapter 13 The Non-markety Product Perspectives pattern.mp4 (11.71 MB) Chapter 14 Audience.mp4 (4.15 MB) Chapter 14 Characteristics.mp4 (16.27 MB) Chapter 14 Dos & don ts.mp4 (17.55 MB) Chapter 14 Examples of Benchmarks and Test Results blog posts.mp4 (47.36 MB) Chapter 14 Summary.mp4 (3 MB) Chapter 14 The Benchmarks and Test Results pattern.mp4 (13.19 MB) Chapter 15 Getting attention.mp4 (14.09 MB) Chapter 15 Guest blogging.mp4 (9.96 MB) Chapter 15 Measuring the effects.mp4 (28.82 MB) Chapter 15 Participating in podcasts and livestreams.mp4 (15.98 MB) Chapter 15 Publishing in selective tech publications.mp4 (34.57 MB) Chapter 15 Sharing across social and virtual communities.mp4 (71.35 MB) Chapter 15 Sharing at conferences.mp4 (2.3 MB) Chapter 15 Summary.mp4 (4.49 MB) Chapter 15 Syndicating simulacra.mp4 (13.42 MB) Chapter 16 Converting your blog post to a talk.mp4 (25.63 MB) Chapter 16 Delivering.mp4 (5.84 MB) Chapter 16 Following up.mp4 (8.79 MB) Chapter 16 From blog post to conference talk.mp4 (30.34 MB) Chapter 16 Identifying and evaluating opportunities.mp4 (11.37 MB) Chapter 16 Promoting the talk.mp4 (4.04 MB) Chapter 16 Rehearsing.mp4 (6.8 MB) Chapter 16 Submitting your proposal.mp4 (25.62 MB) Chapter 16 Summary.mp4 (5.59 MB) Chapter 17 Alternatives to consider.mp4 (18.56 MB) Chapter 17 Go forth and write.mp4 (4.42 MB) Chapter 17 Navigating the proposal process.mp4 (10.15 MB) Chapter 17 Publishing considerations.mp4 (42.72 MB) Chapter 17 So you want to write a book.mp4 (21.99 MB) Chapter 17 Summary.mp4 (5.63 MB) Chapter 17 Why not.mp4 (7.15 MB) Chapter 2 Increasing your trigger exposure.mp4 (22.28 MB) Chapter 2 Summary.mp4 (2.91 MB) Chapter 2 Topics, topics, everywhere.mp4 (82.36 MB) Chapter 2 What to write.mp4 (8.91 MB) Chapter 3 Captivating readers.mp4 (9.99 MB) Chapter 3 Critical characteristics.mp4 (24.9 MB) Chapter 3 Examples.mp4 (40.82 MB) Chapter 3 Summary.mp4 (1.75 MB) Chapter 4 Creating your working draft.mp4 (14.2 MB) Chapter 4 Essential prep.mp4 (38.93 MB) Chapter 4 Filling in gaps.mp4 (62.34 MB) Chapter 4 If you do nothing else.mp4 (4.09 MB) Chapter 4 Optional warmup.mp4 (21.35 MB) Chapter 4 PretendPiotr s first attempt at the example blog post.mp4 (26.55 MB) Chapter 4 Summary.mp4 (3.78 MB) Chapter 4 Writing time.mp4 (23.31 MB) Chapter 5 Clarity.mp4 (83.37 MB) Chapter 5 Components.mp4 (78.57 MB) Chapter 5 Consumability.mp4 (29.19 MB) Chapter 5 Core (facts, focus, flow).mp4 (75.63 MB) Chapter 5 If you do nothing else.mp4 (2.59 MB) Chapter 5 Optimizing your draft.mp4 (19.64 MB) Chapter 5 Summary.mp4 (4.53 MB) Chapter 6 Comparing writing review with code review.mp4 (8.45 MB) Chapter 6 Deciding when to start.mp4 (13.18 MB) Chapter 6 Getting feedback.mp4 (8.97 MB) Chapter 6 If you do nothing else.mp4 (1.07 MB) Chapter 6 Preparing your reviewers.mp4 (19.52 MB) Chapter 6 Responding to reviewer comments.mp4 (6.86 MB) Chapter 6 Selecting your reviewer(s).mp4 (7.42 MB) Chapter 6 Special steps for special cases.mp4 (6.04 MB) Chapter 6 Summary.mp4 (4.19 MB) Chapter 7 If you do nothing else.mp4 (938.61 KB) Chapter 7 Manage metadata.mp4 (70.23 MB) Chapter 7 Preview in place.mp4 (21.11 MB) Chapter 7 Read through the core content one final time.mp4 (5.81 MB) Chapter 7 Ship it.mp4 (10.13 MB) Chapter 7 Summary.mp4 (3.15 MB) Chapter 8 Audience.mp4 (3.54 MB) Chapter 8 Characteristics.mp4 (17.24 MB) Chapter 8 Dos and don ts.mp4 (28.35 MB) Chapter 8 Examples of Bug Hunt blog posts.mp4 (20.49 MB) Chapter 8 Summary.mp4 (1.38 MB) Chapter 8 The Bug Hunt pattern.mp4 (11.86 MB) Chapter 9 Audience.mp4 (3.31 MB) Chapter 9 Characteristics.mp4 (19.61 MB) Chapter 9 Dos and don ts.mp4 (24.54 MB) Chapter 9 Examples of We Rewrote It in X blog posts.mp4 (27.74 MB) Chapter 9 Summary.mp4 (2.4 MB) Chapter 9 The Rewrote It in X pattern.mp4 (19.36 MB) Part 1 Fundamentals.mp4 (1.64 MB) Part 2 Nailing the writing process.mp4 (2.01 MB) Part 3 Applying blog post patterns.mp4 (5.35 MB) Part 4 Promotion, adaptation, and expansion.mp4 (1.56 MB)] Screenshot RapidGator https://rapidgator.net/file/343a9baba31a0cad624d1084f6df1be4/Oreilly_Writing_for_Developers_Video_Edition.part1.rar 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1.59 GB | 9min 58s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Installation.mp4 (92.58 MB) 2 -How to compile codes.mp4 (43.15 MB) 3 -Print vs Logging.mp4 (52.02 MB) 4 -Sending Variable values on console in differnt formats P1.mp4 (16.39 MB) 5 -Sending Variable values on console in differnt formats P2.mp4 (13.51 MB) 6 -Sending Variable values on console in differnt formats P3.mp4 (23.25 MB) 1 -Executing DUT from python TB.mp4 (10.25 MB) 2 -Apply Stimuli P1 Accessing IO handles P1.mp4 (4.2 MB) 3 -Apply Stimuli P1 Accessing IO handles P2.mp4 (10.08 MB) 4 -Apply Stimuli P1 Accessing IO handles P3.mp4 (39.28 MB) 5 -Apply Stimuli P2 Accessing Value property.mp4 (6.87 MB) 6 -Apply Stimuli P3 Direct Assignment.mp4 (9.09 MB) 1 -Fixed Duration Stimuli.mp4 (29.2 MB) 2 -Accessing Internal Signals of DUT P1.mp4 (26.83 MB) 3 -Accessing Internal Signals of DUT P2.mp4 (13.28 MB) 4 -Reset based on edge of other signal P1 Rising, Falling, Edge.mp4 (36.54 MB) 5 -Reset based on edge of other signal P2 FOR LOOP.mp4 (10.1 MB) 6 -Clock Cycles Function.mp4 (17.17 MB) 1 -Custom Clock P1.mp4 (44.59 MB) 2 -Custom Clock P2.mp4 (49.91 MB) 3 -Built-In Clock Function.mp4 (9.52 MB) 4 -Sync and Async Functions P1.mp4 (30.37 MB) 5 -Sync and Async Functions P2.mp4 (28.15 MB) 1 -Understanding BinaryValue.mp4 (45.87 MB) 2 -Adding Values in differnt format.mp4 (23.97 MB) 3 -Conversion to differrnt representation.mp4 (63.39 MB) 4 -Conversion to different radix.mp4 (14.02 MB) 5 -Logical, len and is resolvable operator.mp4 (72.52 MB) 6 -Used Case Priority Encoder P1.mp4 (31.52 MB) 7 -Used Case Priority Encoder P2.mp4 (43.86 MB) 8 -Used Case Priority Encoder P3.mp4 (36.41 MB) 9 -Working with integer.mp4 (45.92 MB) 1 -Understanding FORK.mp4 (97.18 MB) 2 -Operation of Fork.mp4 (71.13 MB) 3 -Operation of start soon.mp4 (40.68 MB) 4 -Operation of await start.mp4 (45.05 MB) 5 -Used Cases.mp4 (26.9 MB) 1 -4-bit adder P1.mp4 (45.25 MB) 2 -4-bit adder P2.mp4 (21.3 MB) 3 -81 Mux.mp4 (82.86 MB) 4 -41 8-bit Multiplexer.mp4 (29.36 MB) 5 -4-bit Ripple Carry Adder.mp4 (49.78 MB) 1 -D-Flipflop.mp4 (50.45 MB) 2 -Memory P1.mp4 (29.43 MB) 3 -Memory P2.mp4 (49.42 MB)] Screenshot AusFile https://ausfile.com/828jjm01uxwn https://ausfile.com/ce2zdcomi10i RapidGator https://rapidgator.net/file/8a2a1bdb7afc3f3a14a7e046cbbbd333/ https://rapidgator.net/file/09d5f6bbb49bee655b1b7f8e086b6b79/

1.57 GB | 48min 53s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Introduction.mp4 (119.12 MB) 10 -Quiz App.mp4 (170.45 MB) 11 -Text Counter App.mp4 (75.92 MB) 12 -Password Generator.mp4 (46.19 MB) 13 -Class Project 1.mp4 (47.34 MB) 14 -Class Project 2.mp4 (46.87 MB) 2 -Interactive To-Do List.mp4 (141.54 MB) 3 -Simple Calculator.mp4 (109.76 MB) 4 -Notes app.mp4 (111.81 MB) 5 -Expense Tracker App.mp4 (171.97 MB) 6 -Rock Paper Scissors Game.mp4 (257.34 MB) 7 -Real Time Chat App.mp4 (115.24 MB) 8 -URL Shortener.mp4 (113.04 MB) 9 -Digital Clock.mp4 (83.59 MB)] Screenshot AusFile https://ausfile.com/nyeefsl8wxui https://ausfile.com/1w7ilugn24tx RapidGator https://rapidgator.net/file/98ee30b8c358d09f93b77393a8f7955d/ https://rapidgator.net/file/45689e2eaaa02be145babc323da121e4/

Introduction to Software Engineering Last updated 2/2024 Duration: 47m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 446 MB Genre: eLearning | Language: English A Comprehensive Guide to Software Engineering Principles What you'll learn Understand the key principles of software engineering and its systematic approach to developing software. Develop skills in documenting requirements to ensure alignment between developers and users. Understand the fundamental principles of software design and the role it plays in creating maintainable code. Understand the importance of software testing and explore various testing types such as unit, integration, and functional testing. Explore deployment strategies and learn how to transition software from development to production environments. Requirements No prior experience in software engineering is required. A basic familiarity with programming concepts is beneficial but not essential. Description Embark on a comprehensive journey into the world of software engineering with my "Introduction to Software Engineering" course. Whether you're a beginner looking to explore the foundations of software development or an aspiring programmer seeking a deeper understanding of the engineering process, this course is designed to provide you with a solid groundwork in software engineering principles. Course Highlights: Section 1: Fundamentals of Software Engineering: Dive into the core principles of software engineering, understanding the software development lifecycle, the importance of clear requirements, and the power of systematic design. Section 2: Requirements Gathering and Analysis: Learn how to gather, analyze, and document user requirements effectively. Explore use cases, user stories, and requirements specifications to ensure your software meets user needs. Section 3: Design and Architecture: Master the art of software design and architectural patterns. Discover how to create clean, maintainable code by understanding software design principles and exploring common architectural patterns. Section 4: Implementation and Testing: Delve into the hands-on phases of software development. Explore coding best practices, the significance of testing, and strategies for writing effective tests that ensure your software functions correctly. Section 5: Deployment and Maintenance: Navigate the vital phases of taking software from development to deployment. Explore deployment strategies, continuous integration, containerization, and cloud services. Learn the art of ongoing software maintenance, bug fixing, and the importance of documentation. Course Benefits: Understand the principles that underpin successful software development. Learn coding best practices and testing strategies for high-quality software. Explore various phases of software engineering, from design to deployment. Gain insights into real-world practices such as continuous integration and containerization. Develop the skills needed to create reliable, user-centric software applications. Enroll today and embark on a transformative journey into the realm of software engineering. From coding and design to deployment and maintenance, you'll gain the knowledge and skills needed to create impactful software applications. Join us and unlock the potential of software engineering in the digital age! Who this course is for: Aspiring software developers and programmers. Students pursuing computer science or related fields. Professionals seeking a foundational understanding of software engineering. Individuals interested in creating functional and user-friendly software applications. More Info DDownload https://ddownload.com/50mxehyarqmc/yxusj.Udemy.Introduction.to.Software.Engineering. -LBWx.rar AusFile https://ausfile.com/hy384ejvr3gy/yxusj.Udemy.Introduction.to.Software.Engineering. -LBWx.rar RapidGator https://rapidgator.net/file/751a3e0ec0143742cebfd733493822a2/yxusj.Udemy.Introduction.to.Software.Engineering. -LBWx.rar

From Zero To Ai: How To Master Deepseek Ai As A Beginner Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 616.65 MB | Duration: 1h 6m A Step-by-Step Guide to Understanding, Using, and Integrating DeepSeek AI for Real-World Application What you'll learn Learn about DeepSeek AI, DeepSeek-R1, and its open-source capabilities Explore how DeepSeek compares to ChatGPT, Gemini, Claude, and Perplexity AI Learn how to set up and access DeepSeek AI Understand DeepSeek-R1's reinforcement learning process Discover the key features and applications of DeepSeek AI Requirements Basic Computer Skills Interest in AI & Chatbot Technologies Basic Understanding of English A Laptop or Smartphone with an Internet Connection Description From Zero to AI: How to Master DeepSeek AI as a BeginnerA Step-by-Step Guide to Understanding, Using, and Integrating DeepSeek AI for Real-World ApplicationsThis is a basic course designed for beginners who want to learn how to use DeepSeek AI effectively. Whether you are new to artificial intelligence or looking for an alternative to models like ChatGPT, Gemini, or Claude, this course will provide a structured approach to understanding and integrating DeepSeek AI.DeepSeek AI is an open-source AI model that offers powerful language processing, reasoning, and automation capabilities. It is gaining popularity as a cost-effective and customizable alternative to proprietary AI models.What You Will LearnIntroduction to DeepSeek AI - What it is and how it works.Comparison with ChatGPT, Gemini, and Claude - Strengths and weaknesses.How to Access and Use DeepSeek AI - A beginner-friendly guide.Core Features and Applications - Writing, research, automation, and more.Privacy and Security Considerations - Understanding data policies and risks.Real-World Use Cases - How businesses, marketers, and developers can benefit.Who Is This Course For?Beginners with no prior AI experience.Business professionals and marketers looking to leverage AI tools.Developers and AI enthusiasts exploring open-source AI models.Students and researchers interested in language models and automation.By the end of this course, you will have a clear understanding of DeepSeek AI and how to use it effectively in various applications. Overview Section 1: Introduction to DeepSeek Lecture 1 Exploring DeepSeek - The AI Revolution Lecture 2 Comparing DeepSeek With Top AI Models Lecture 3 Understanding DeepSeek R1 Model Section 2: What We Can Do With DeepSeek? Lecture 4 Exploring Deepseek's Deepthink Feature Lecture 5 Advanced Strategies With DeepSeek Lecture 6 Exploring Deepseek For Content Creation Section 3: DeepSeek Privacy Policy Lecture 7 Understanding DeepSeek Privacy Policies. marketers,Ai enthusiastic,Consultants,Content Creators DDownload https://ddownload.com/gjfy7zztfzz3/yxusj.Udemy.From.Zero.to.AI.How.to.Master.DeepSeek.AI.as.a.Beginner. -LBWx.rar AusFile https://ausfile.com/td0ebe98109l/yxusj.Udemy.From.Zero.to.AI.How.to.Master.DeepSeek.AI.as.a.Beginner. -LBWx.rar RapidGator https://rapidgator.net/file/23accf0b478eb1f0b54544bccaf55e33/yxusj.Udemy.From.Zero.to.AI.How.to.Master.DeepSeek.AI.as.a.Beginner. -LBWx.rar

Autonomous Cars: Deep Learning and Computer Vision in Python Last updated 4/2025 Duration: 12h 28m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.5 GB Genre: eLearning | Language: English Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars What you'll learn - Automatically detect lane markings in images - Detect cars and pedestrians using a trained classifier and with SVM - Classify traffic signs using Convolutional Neural Networks - Identify other vehicles in images using template matching - Build deep neural networks with Tensorflow and Keras - Analyze and visualize data with Numpy, Pandas, Matplotlib, and Seaborn - Process image data using OpenCV - Calibrate cameras in Python, correcting for distortion - Sharpen and blur images with convolution - Detect edges in images with Sobel, Laplace, and Canny - Transform images through translation, rotation, resizing, and perspective transform - Extract image features with HOG - Detect object corners with Harris - Classify data with machine learning techniques including regression, decision trees, Naive Bayes, and SVM - Classify data with artificial neural networks and deep learning Requirements - Windows, Mac, or Linux PC with at least 3GB free disk space. - Some prior experience in programming. Description Autonomous Cars: Computer Vision and Deep Learning The automotive industry is experiencing a paradigm shift from conventional, human-driven vehicles into self-driving, artificial intelligence-powered vehicles.Self-driving vehiclesoffer a safe, efficient, and cost effective solution that will dramatically redefine the future of human mobility. Self-driving cars are expected to save over half a million lives and generate enormous economic opportunities in excess of $1 trillion dollars by 2035. The automotive industry is on a billion-dollar quest to deploy the most technologically advanced vehicles on the road. As the world advances towards a driverless future, the need for experienced engineers and researchers in this emerging new field has never been more crucial. The purpose of this course is to provide students with knowledge of key aspects of design and development of self-driving vehicles. The course provides students with practical experience in various self-driving vehicles concepts such as machine learning and computer vision. Concepts such aslane detection, traffic sign classification, vehicle/object detection, artificial intelligence, and deep learningwill be presented. The course is targeted towards students wanting to gain a fundamental understanding of self-driving vehicles control. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this self-driving car course will master driverless car technologies that are going to reshape the future of transportation. Tools and algorithms we'll cover include: OpenCV Deep Learning and Artificial Neural Networks Convolutional Neural Networks Template matching HOG feature extraction SIFT, SURF, FAST, and ORB Tensorflow and Keras Linear regression and logistic regression Decision Trees Support Vector Machines Naive Bayes Your instructors areDr. Ryan Ahmedwith a PhD in engineering focusing on electric vehicle control systems, andFrank Kane, who spent 9 years at Amazon specializing in machine learning. Together, Frank and Dr. Ahmed have taught over 500,000 students around the world on Udemy alone. Students of our popular course, "Data Science, Deep Learning, and Machine Learning with Python" may find some of the topics to be a review of what was covered there, seen through the lens of self-driving cars. But, most of the course focuses on topics we've never covered before, specific to computer vision techniques used in autonomous vehicles. There are plenty of new, valuable skills to be learned here! Who this course is for: - Software engineers interested in learning the algorithms that power self-driving cars. 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Pyuvm Series Part 3 : Python Oops Fundamentals Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 984.39 MB | Duration: 3h 13m Step by Step Guide from Scratch What you'll learn Fundamentals of Classes Class Methods Inter-process communication Randomization Building verification environment in Python Requirements Fundamentals of Digital Electronics and Verilog Completion of Python for VLSI Engineer P1, and P2 Course or Basics of Python & COCOTB Description This comprehensive course is designed to empower software engineers, developers, and verification engineers with advanced Python programming skills for effective Object-Oriented Programming (OOP) and hardware verification tasks. Participants will delve into the fundamentals of Python and explore advanced concepts, including classes, inheritance, copy mechanisms, randomization, inter-process communication with queues, and task synchronization with events. The course will also provide hands-on experience in building a verification environment, encompassing generators, drivers, monitors, and scoreboards for robust Design Under Test (DUT) verification.Key Topics Covered:Object-Oriented Programming (OOP) in Python:Understanding classes and objectsEncapsulation, inheritance, and polymorphismMethod overriding and operator overloadingCopy Mechanisms:Shallow and deep copy in PythonBest practices for efficient copyingCopying complex data structuresRandomization Techniques:Utilizing the 'random' module for pseudo-random number generationRandomizing data for diverse test scenariosSeed management for reproducibilityInter-Process Communication:Introduction to Python multiprocessingCommunication using queuesSynchronization and data exchange between processesTask Synchronization:Implementation of event-driven synchronizationCoordinating tasks with eventsAvoiding race conditions and deadlocksVerification Environment:Designing a verification environment for a Design Under Test (DUT)Developing generators for stimulus creationBuilding robust drivers for interfacing with the DUTMonitoring and analyzing DUT behavior with monitorsScoreboarding techniques for result verificationHands-On Projects:Participants will engage in practical exercises and projects throughout the course, applying the learned concepts to real-world scenarios. This will include creating a complete verification environment for a sample DUT, incorporating OOP principles, copy mechanisms, randomization, and inter-process communication.By the end of this course, participants will possess advanced Python skills, enabling them to design and implement efficient and scalable verification environments for hardware designs, while incorporating best practices in OOP and software development. This course is ideal for professionals working in fields such as hardware verification who want to enhance their Python proficiency for building Class based Verification environment in Python. Overview Section 1: Fundamentals of Classes part 1 Lecture 1 Fundamentals of Class Lecture 2 Creating class p1 Lecture 3 Code Lecture 4 Creating class p2 Lecture 5 Code Lecture 6 Creating Class p3 Lecture 7 Code Lecture 8 Understanding self p1 Lecture 9 Understanding self p2 Lecture 10 Code Lecture 11 Double Underscore Methods Lecture 12 Code Lecture 13 User defined methods in Class Lecture 14 Code Lecture 15 Deleting Class Lecture 16 Code Section 2: Fundamentals of Classes part 2 Lecture 17 Inheritance P1 Lecture 18 Code Lecture 19 Inheritance P2 Lecture 20 Code Lecture 21 Shallow and Deep Copy Lecture 22 Shallow Copy Lecture 23 Deep Copy Lecture 24 Code Section 3: Interprocess Communication (IPC) Lecture 25 IPC with functions Lecture 26 Code Lecture 27 IPC with classes Lecture 28 Code Lecture 29 Configurable delays Lecture 30 Code Lecture 31 Default behavior of Queue Lecture 32 Code Lecture 33 Queue with user defined size Lecture 34 Code Lecture 35 Event within task for single transaction P1 Lecture 36 Event within task for single transaction P2 Lecture 37 Code Lecture 38 Event within task for multiple transaction Lecture 39 Code Lecture 40 Event with Mulitple classes Lecture 41 Code Section 4: Randomization Lecture 42 Adding random variables Lecture 43 Code Lecture 44 Using randomize_with Lecture 45 Code Lecture 46 Adding Constraints : Standalone Lecture 47 Code Lecture 48 Adding Constraints : Combined Lecture 49 Code Lecture 50 Adding Constraints : Overwriting Constraint Lecture 51 Code Lecture 52 Adding Constraints : Solving Order Lecture 53 Code Lecture 54 Adding Constraints : Dependent Constraint Lecture 55 Code Lecture 56 Adding Constraints : User defined weighted distribution Lecture 57 Code Section 5: Building Verification Environment Lecture 58 Understanding Verification environment P1 Lecture 59 Understanding Verification environment P2 Lecture 60 Understanding Verification environment P3 Lecture 61 Understanding Verification environment P4 Lecture 62 Understanding Verification environment P5 Lecture 63 Adding Transaction, Generator and Driver P1 Lecture 64 Adding Transaction, Generator and Driver P2 Lecture 65 Adding Transaction, Generator and Driver P3 Lecture 66 Code Lecture 67 Adding Monitor and Scoreboard P1 Lecture 68 Adding Monitor and Scoreboard P2 Lecture 69 Code Section 6: Project : 4-bit Synchronus Adder Lecture 70 Design Lecture 71 TB Part 1 Lecture 72 TB Part 2 Lecture 73 TB Part 3 Lecture 74 Code If you're excited about Python and DUT verification with Python, this is the place for you. 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Pyuvm Series Part 4 : Python Oops Verification Env Projects Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.21 GB | Duration: 3h 29m Step by Step Guide from Scratch What you'll learn Verification of Combinational Circuit Verification of Sequential Circuit Verification of UART device Verification of SPI device with and without slave Verification of I2C device Requirements Fundamentals of Digital Electronics and Verilog Completion of Python for VLSI Engineer P1, P2 and P3 Course or Fundamentals of Python, Python OOPs & COCOTB Description Welcome to our comprehensive course on Class-Based Python Verification Environment for Digital Design! In this dynamic program, participants will delve into the realm of hardware verification, focusing on UART, SPI, DFF, I2C, FIFO, and combinational multiplier Design Under Test (DUT). Leveraging the power of Python and object-oriented programming, this course equips learners with the essential skills to construct robust verification environments for these key digital components.Throughout the course, participants will gain hands-on experience in creating modular and reusable verification components using Python classes. We will explore the intricacies of UART, SPI, DFF, I2C, FIFO, and combinational multiplier behaviors and implement comprehensive testbenches to verify their functionality. Participants will learn how to create comprehensive verification plans, write effective test cases to ensure a thorough and well-documented verification process.By adopting a class-based approach, participants will develop a deep understanding of the underlying design principles and be well-prepared to handle complex verification scenarios.Key topics include building a scalable testbench architecture, crafting effective stimulus generation and response checking mechanisms, and implementing advanced features such as constrained random testing.Join us on this transformative journey, where you will not only gain expertise in class-based Python verification but also foster a holistic understanding of the digital design verification landscape. Elevate your career by mastering the skills necessary to navigate the complexities of modern digital systems and contribute effectively to the success of digital design projects. Overview Section 1: Introduction Lecture 1 How to use IDE Lecture 2 Code Lecture 3 Components of Verification Environment Lecture 4 Learning Path Section 2: Combinational Circuit Lecture 5 Design Lecture 6 TB Part 1 Lecture 7 TB Part 2 Lecture 8 TB Part 3 Lecture 9 Design Code Lecture 10 TB Code Lecture 11 Makefile Section 3: D-Flipflop Lecture 12 Design Lecture 13 TB Part 1 Lecture 14 TB Part 2 Lecture 15 Design Code Lecture 16 TB Code Lecture 17 Makefile Section 4: FIFO Lecture 18 Understanding Design Lecture 19 TB part 1 Lecture 20 TB part 2 Lecture 21 Design Code Lecture 22 TB Code Lecture 23 Makefile Section 5: SPI Lecture 24 SPI Master Design Lecture 25 TB Part 1 Lecture 26 TB Part 2 Lecture 27 TB Part 3 Lecture 28 TB Part 4 Lecture 29 Design Code Lecture 30 TB Code Lecture 31 Makefile Lecture 32 SPI with Slave device Design Lecture 33 Testbench COde Lecture 34 Design Code Lecture 35 Verilog TB Lecture 36 TB Code Lecture 37 Makefile Section 6: I2C Lecture 38 Understanding start and stop conditions Lecture 39 I2C Write and Read Transactions Lecture 40 I2C Master FSM Lecture 41 I2C Master Lecture 42 I2C Slave Lecture 43 TB P1 Lecture 44 TB P2 Lecture 45 TB P3 Lecture 46 Design Code Lecture 47 TB Code Lecture 48 Makefile Section 7: UART Lecture 49 Understanding Design P1 Lecture 50 Understanding Design P2 Lecture 51 TB P1 Lecture 52 TB P2 Lecture 53 Design Code Lecture 54 TB Code Lecture 55 Makefile If you're excited about Python and DUT verification with Python, this is the place for you. DDownload https://ddownload.com/ghcmn4l9mnpq/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://ddownload.com/7wqqqbzig55t/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar AusFile https://ausfile.com/dyggmk94fikq/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://ausfile.com/5blh3o6uy8le/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar RapidGator https://rapidgator.net/file/81ff6c477c1167c4b61347ae653f92c8/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://rapidgator.net/file/21078ac94b506def5ab70783fdb0311c/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar

3.4 GB | 1h 24min 0s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :01 Part1.mp4 | Size: (210.38 MB) FileName :02 Part2.mp4 | Size: (237.89 MB) FileName :03 Part3.mp4 | Size: (171.52 MB) FileName :04 Part4.mp4 | Size: (301.84 MB) FileName :05 Part5.mp4 | Size: (242.96 MB) FileName :06 Part6.mp4 | Size: (242.96 MB) FileName :07 Part7.mp4 | Size: (396.46 MB) FileName :08 Part8.mp4 | Size: (396.46 MB) FileName :09 Part9.mp4 | Size: (224.47 MB) FileName :10 Part10.mp4 | Size: (402.73 MB) FileName :11 Part11.mp4 | Size: (402.73 MB) FileName :12 Part12.mp4 | Size: (247.27 MB)] Screenshot AusFile https://ausfile.com/yg5llzf8h0oj/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part1.rar https://ausfile.com/t1i6s5f8pb9u/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part2.rar https://ausfile.com/tyf253h89wxp/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part3.rar https://ausfile.com/tf6xwcn3male/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part4.rar RapidGator https://rapidgator.net/file/33d4646452d0e0cb1bd5f96f0d8b6fc1/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part1.rar https://rapidgator.net/file/5654efed5f865fdeab2889b3204ee30b/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part2.rar https://rapidgator.net/file/f8e4eba51fe750152d31e12dc708f735/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part3.rar https://rapidgator.net/file/d8732482a07876aa66681001e84f1e73/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part4.rar