kingers Posted March 30 Report Share Posted March 30 Download Free Download : MLOps Bootcamp Mastering AI Operations for Success - AIOpsmp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz Genre:eLearning | Language: English | Size:15.97 GBFiles Included :1 What and Why MLOps.mp4 (82.88 MB)MP42 The Stages of MLOps.mp4 (136.31 MB)MP41 Agenda of this section.mp4 (11.28 MB)MP42 Linux Features & Bash.mp4 (205.15 MB)MP43 How to Launch EC2 Instances (Quick Refresh).mp4 (52.34 MB)MP44 Basic Linux Commands of Linux.mp4 (607.07 MB)MP41 Introduction to Jenkins.mp4 (125.52 MB)MP410 Installation of Docker in EC2 Instance.mp4 (42.23 MB)MP411 Configure Github Repo - Webhook - Jenkins Credentials.mp4 (139.26 MB)MP412 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.mp4 (38.29 MB)MP413 Exploration of Jenkins UI.mp4 (18.52 MB)MP414 Create your first First Jenkins Project.mp4 (35.52 MB)MP415 Test Github Webhook with Jenkins.mp4 (105.66 MB)MP416 Installation of Docker Plugin & System Readiness.mp4 (68.28 MB)MP417 Setup Email Notification with Gmail.mp4 (104.77 MB)MP418 Introduction to CI CT CD Pipeline.mp4 (13.59 MB)MP419 Create CI CT CD Pipeline - Github Dockerhub.mp4 (135.47 MB)MP42 How do we Use Jenkins in MLOps.mp4 (19.14 MB)MP420 Create CI CT CD Pipeline - Training.mp4 (57.06 MB)MP421 Create CI CT CD Pipeline - Testing.mp4 (44.78 MB)MP422 Create CI CT CD Pipeline - Deployment.mp4 (45.3 MB)MP423 Perform Test of Pipeline.mp4 (28.23 MB)MP424 Summary.mp4 (41.35 MB)MP43 Prepare and Package ML Model.mp4 (54.23 MB)MP44 Deploy as API with FASTAPI.mp4 (147.76 MB)MP45 Test FastAPI App.mp4 (99.17 MB)MP46 Create Dockerfile.mp4 (44.57 MB)MP47 Exposing the Application Port as per Dockerfile.mp4 (14.73 MB)MP48 Test Locally using Docker Containers.mp4 (103.83 MB)MP49 Installation of Jenkins on AWS EC2 Instances.mp4 (98.69 MB)MP41 Why Monitoring Machine Learning Models is Important.mp4 (50.54 MB)MP42 What is Monitoring of ML models & When to Update Model in Production.mp4 (22.79 MB)MP43 Why Monitoring Machine Learning Models is Difficult.mp4 (92.2 MB)MP44 Challenge - Who Owns what.mp4 (36.78 MB)MP45 Functional Level Monitoring.mp4 (102.28 MB)MP46 Model Drift.mp4 (64.18 MB)MP47 Operational Level Monitoring.mp4 (24.35 MB)MP48 Tools and Best Practices of Machine Learning Model Monitoring.mp4 (19.45 MB)MP41 Introduction to Continuous Monitoring.mp4 (63.9 MB)MP410 Exploring the Basic Querying Prometheus.mp4 (65.9 MB)MP411 Monitor the Infrastructure with Prometheus.mp4 (29.63 MB)MP412 Monitor the Linux Server with Node Exporter.mp4 (92.67 MB)MP413 Monitor the Client Application using Prometheus.mp4 (28.56 MB)MP414 Monitor the FastAPI Application using Prometheus.mp4 (106.88 MB)MP415 Monitor All EndPoints using Prometheus.mp4 (58.93 MB)MP416 Create Visualization with Grafana.mp4 (123.74 MB)MP417 Trigger Alerts with Grafana.mp4 (105.24 MB)MP42 Use case on Continuous Monitoring.mp4 (27.08 MB)MP43 Introduction to Prometheus.mp4 (29.65 MB)MP44 Architecture of Prometheus.mp4 (88.98 MB)MP45 Metric Types of Prometheus.mp4 (29.89 MB)MP46 Installation of Prometheus.mp4 (117.41 MB)MP47 Introduction Grafana.mp4 (12.56 MB)MP48 Installation of Grafana.mp4 (44.36 MB)MP49 Prometheus Configuration file.mp4 (75.68 MB)MP41 Introduction to Docker Compose.mp4 (27.08 MB)MP42 Hands On - Docker Compose with Flask Application.mp4 (157.13 MB)MP43 Hands On - Docker Compose Prometheus Grafana.mp4 (139.07 MB)MP41 Architecture of ML Application Monitoring.mp4 (43.96 MB)MP42 Hands On Monitoring of ML Application using Prometheus.mp4 (130.12 MB)MP41 Introduction to ML Monitoring.mp4 (63.17 MB)MP42 Setting Up WhyLabs.mp4 (13.75 MB)MP43 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4 (398.1 MB)MP44 WhyLogs - Constraints and Drift Reports.mp4 (96.61 MB)MP45 Summary.mp4 (14.9 MB)MP41 Post-Productionalizing ML Models - What Next.mp4 (28.26 MB)MP42 Model Security.mp4 (13.05 MB)MP43 Adversarial Attack.mp4 (16.95 MB)MP44 Data Poisoning Attack.mp4 (4.42 MB)MP45 Distributed Denial of Service Attack (DDOS).mp4 (4.08 MB)MP46 Data Privacy Attack.mp4 (9.48 MB)MP47 How to Mitigate Risk of Model Attacks.mp4 (22.42 MB)MP48 AB Testing.mp4 (37.38 MB)MP49 Future of MLOps.mp4 (18.31 MB)MP41 What do we cover in this section.mp4 (11.62 MB)MP410 Creation of S3 Bucket from Console.mp4 (59.79 MB)MP411 Creation of S3 Bucket from CLI.mp4 (38.36 MB)MP412 Version Enablement in S3.mp4 (45.27 MB)MP413 Introduction EC2 instances.mp4 (43.98 MB)MP414 Launch EC2 instance & SSH into EC2 Instances.mp4 (63.24 MB)MP415 Clean Up Activity.mp4 (7.24 MB)MP42 Create AWS Account.mp4 (46.52 MB)MP43 Setting up MFA on Root Account.mp4 (59.01 MB)MP44 Create IAM Account and Account Alias.mp4 (57.25 MB)MP45 Setup CLI with Credentials.mp4 (40.59 MB)MP46 IAM Policy.mp4 (19.33 MB)MP47 IAM Policy generator & attachment.mp4 (59.02 MB)MP48 Delete the IAM User.mp4 (8.87 MB)MP49 S3 Bucket and Storage Classes.mp4 (128.72 MB)MP41 Introduction to Numpy Library.mp4 (47.95 MB)MP410 Linear Algebra Functions in Numpy.mp4 (16.59 MB)MP411 Shape Modification of Arrays.mp4 (50.99 MB)MP412 np arange().mp4 (17.57 MB)MP413 Relational Operators & Aggregation Functions on Numpy Arrays.mp4 (35.8 MB)MP414 Boolean Masking.mp4 (9.16 MB)MP415 Broadcasting on Numpy Arrays.mp4 (120.64 MB)MP416 Summary of Numpy Library Journey.mp4 (18.9 MB)MP417 Introduction to Pandas.mp4 (18.13 MB)MP418 Working with Pandas Series.mp4 (55.53 MB)MP419 Mathematical Operation on Pandas Series.mp4 (14.09 MB)MP42 Basics of numpy array object.mp4 (15.11 MB)MP420 Dataframes in Pandas.mp4 (85.35 MB)MP421 Working with Data in Pandas DataFrame.mp4 (64.24 MB)MP422 Combining the DataFrames.mp4 (76.98 MB)MP423 Other Functions on Pandas DataFrame.mp4 (66.74 MB)MP424 Advanced Functions in Pandas DataFrame.mp4 (136.31 MB)MP425 Introduction to EDA.mp4 (16.23 MB)MP426 Accessing Google Colab.mp4 (23.9 MB)MP427 Loading the Large Dataset for Working.mp4 (48.36 MB)MP428 Preliminary Analysis on DataFrame.mp4 (76.2 MB)MP429 Null values in the Dataframe.mp4 (53.22 MB)MP43 Import Numpy & Access help.mp4 (20.98 MB)MP430 Data Cleaning.mp4 (67.55 MB)MP431 Introduction to Data Visualization.mp4 (62.17 MB)MP432 Matplotlib Basics.mp4 (51 MB)MP433 Types of Plot - Line plot.mp4 (13.45 MB)MP434 Line Plots Hands On.mp4 (48.39 MB)MP435 Adjusting the Plots.mp4 (50.11 MB)MP436 Plot Adjustment Hands On.mp4 (42.54 MB)MP437 Scatter Plot.mp4 (18.4 MB)MP438 Scatter Plot hands on.mp4 (56.78 MB)MP439 Historgram Plot.mp4 (29.51 MB)MP44 Creation of Array Object - np array().mp4 (22.35 MB)MP440 Introduction to Seaborn.mp4 (17.55 MB)MP441 Exploring the data.mp4 (69.93 MB)MP442 Univariate & Bivariate Plots - Continuous Data.mp4 (74.13 MB)MP443 Plot - Categorical Data.mp4 (50.39 MB)MP444 Advanced Plots in Seaborn.mp4 (39.58 MB)MP445 Which Plot to use.mp4 (27.6 MB)MP45 Attributes of Numpy Array.mp4 (15.08 MB)MP46 Array Indexing and Slicing.mp4 (45.48 MB)MP47 Array Creation Functions.mp4 (59.27 MB)MP48 Copy Arrays.mp4 (21.16 MB)MP49 Mathematical Operation on Numpy Arrays.mp4 (19.22 MB)MP41 About the Section.mp4 (14.42 MB)MP410 Operators in Python Programming Language.mp4 (56.69 MB)MP411 Collection - Strings.mp4 (76.84 MB)MP412 Python String - Builtin Functions - Hands On.mp4 (28.93 MB)MP413 Data Structures - List.mp4 (47.96 MB)MP414 Data Structures - Tuples.mp4 (28.68 MB)MP415 Data Structures - Dictionary.mp4 (28 MB)MP416 Data Structures - Sets.mp4 (26.91 MB)MP417 Explicit and Implicit Casting in Python Programming.mp4 (23.93 MB)MP418 Reading the Input from Keyboard.mp4 (21.33 MB)MP419 String Formatting.mp4 (28.15 MB)MP420 Control Statements - Conditional Statements in Python.mp4 (36.28 MB)MP421 Control Statements - Looping Statements.mp4 (67.02 MB)MP422 List comprehension.mp4 (25.74 MB)MP423 Functions.mp4 (54.74 MB)MP424 Modules in Python.mp4 (26.94 MB)MP425 Classes in Python.mp4 (57.71 MB)MP426 File Handling in Python.mp4 (49.54 MB)MP427 Working with Python Scripts.mp4 (13.53 MB)MP428 Libraries in Python.mp4 (17.05 MB)MP43 Introduction to Python Programming.mp4 (35.55 MB)MP44 Install Anaconda.mp4 (13.87 MB)MP45 Hello World - Python.mp4 (32.45 MB)MP46 Jupyter Lab Quick Tour.mp4 (38.91 MB)MP47 Variables in Python.mp4 (15.37 MB)MP48 Variables - Comments - Markdown Cells - Hands On.mp4 (53.37 MB)MP49 Python Literals - Hands On.mp4 (60.76 MB)MP41 MLOps with MLFlow in 1 Hour.mp4 (427.52 MB)MP42 Kubernetes 101 Part 1.mp4 (208.21 MB)MP43 Kubernetes 101 Part 2.mp4 (427.46 MB)MP41 Introduction to Version Control Systems.mp4 (68.65 MB)MP410 Merging.mp4 (74.44 MB)MP411 Checking Out Commits.mp4 (57.74 MB)MP412 Git Hosting Services.mp4 (39.16 MB)MP413 Working with Remote Repositories.mp4 (73.33 MB)MP414 Cloning and Delete Branches.mp4 (58.39 MB)MP415 3 way merge.mp4 (74.31 MB)MP416 Summary.mp4 (24.74 MB)MP42 Getting Started with git.mp4 (58.4 MB)MP43 Local Repo vs Remote Repo.mp4 (64.09 MB)MP44 Git Configurations.mp4 (28.36 MB)MP45 Getting Started with Local Repo.mp4 (59.17 MB)MP46 Concept of Working Directory - Staging Area - Commit.mp4 (60.77 MB)MP47 Git Workflow - Local Repo.mp4 (87.57 MB)MP48 Git Branch.mp4 (110.66 MB)MP49 Switching the Branches.mp4 (64.99 MB)MP41 YAML Crash Course.mp4 (106.9 MB)MP41 Introduction to Packaging the ML Models.mp4 (47.39 MB)MP410 Data Preprocessing part 2.mp4 (34.4 MB)MP411 sklearn pipeline.mp4 (103.09 MB)MP412 Training Pipeline.mp4 (83.35 MB)MP413 Prediction Pipeline.mp4 (60.65 MB)MP414 Fixes on Python Scripts.mp4 (36.31 MB)MP415 Add Python Path to MacOS.mp4 (30.5 MB)MP416 Perform Training and Predictions.mp4 (28.76 MB)MP417 Requirements txt file.mp4 (44.62 MB)MP418 Testing the New Virtual Environments.mp4 (35.48 MB)MP419 Create Python tests.mp4 (122.87 MB)MP42 Typical Experimentation with Dataset.mp4 (187.3 MB)MP420 Running Pytest.mp4 (61.98 MB)MP421 Create Manifest file.mp4 (42.45 MB)MP422 Create Version File.mp4 (20.53 MB)MP423 Create setup py.mp4 (86.53 MB)MP424 Packagiing the ML Model & testing.mp4 (136.7 MB)MP425 Summary.mp4 (48.29 MB)MP43 Model fit and generate Predictions.mp4 (20.93 MB)MP44 Challenges in Working inside the Jupyter Notebook.mp4 (134.88 MB)MP45 Understanding the Modular Programming.mp4 (123.45 MB)MP46 Creating Folder Hierarchy for ML Project.mp4 (138.86 MB)MP47 Create Config Module.mp4 (172.16 MB)MP48 Data Handling Module.mp4 (64.38 MB)MP49 Data Preprocessing part 1.mp4 (194.14 MB)MP41 Introduction to Mlflow.mp4 (85.43 MB)MP410 Setting Up MySql Database Locally.mp4 (57.81 MB)MP411 Log Model Metrics in MySql.mp4 (129.98 MB)MP412 Register the Model & Serve the Model.mp4 (114.17 MB)MP413 Summary.mp4 (10.7 MB)MP42 Getting System Ready with mlflow.mp4 (36.77 MB)MP43 Logging Functions of Mlflow Tracking.mp4 (82.61 MB)MP44 Basic Mlflow tutorial.mp4 (136.4 MB)MP45 Exploration of mlflow.mp4 (52.61 MB)MP46 Machine Learning Experiement on MLFlow.mp4 (147.48 MB)MP47 Create ML Model for Loan Prediction.mp4 (95.15 MB)MP48 MLFlow Project.mp4 (158.6 MB)MP49 MLFlow Models.mp4 (118.08 MB)MP41 Docker for Machine Learning.mp4 (40.29 MB)MP42 Introduction to Docker.mp4 (199.33 MB)MP43 Installation of Docker Desktop.mp4 (42.2 MB)MP44 Working with Docker.mp4 (136.14 MB)MP45 Running the Docker Container.mp4 (83.91 MB)MP46 Working with Dockerfile.mp4 (93.84 MB)MP47 Push the Docker Image to DockerHub.mp4 (23.16 MB)MP48 Dockerize the ML Model.mp4 (98.63 MB)MP49 Packaging the training code in Docker Environment & Summary.mp4 (70.89 MB)MP41 What is API, REST and REST API.mp4 (73 MB)MP42 How REST API Works.mp4 (103.1 MB)MP43 What is FastAPI.mp4 (49.78 MB)MP44 Crash course on FastAPI.mp4 (141.94 MB)MP45 Data Validation with Pydantic.mp4 (44.24 MB)MP46 Deploying the Machine Learning Model with FastAPI.mp4 (73.28 MB)MP41 Introduction to Streamit.mp4 (27.36 MB)MP42 Hands On Working with Streamlit.mp4 (125.42 MB)MP43 Building the ML Model with Streamlit.mp4 (337.92 MB)MP4 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