Udemy - MLOps Bootcamp Mastering AI Operations for Success - AIOps (7.2024)

• 11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.mp4-566.79 MB
• 21 - Additional Learning on Topic of MLOps/003 Kubernetes 101 Part 2.mp4-428.02 MB
• 21 - Additional Learning on Topic of MLOps/001 MLOps with MLFlow in 1 Hour.mp4-415.36 MB
• 17 - Monitor the ML System with WhyLogs/003 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4-384.7 MB
• 21 - Additional Learning on Topic of MLOps/005 Bonus Understanding Transformer Architecture.mp4-383.65 MB
• 09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.mp4-330.01 MB
• 21 - Additional Learning on Topic of MLOps/004 Generative AI and Prompt Engineering Introduction.mp4-198.36 MB
• 05 - Packaging the ML Models/002 Typical Experimentation with Dataset.mp4-176.86 MB
• 05 - Packaging the ML Models/009 Data Preprocessing part 1.mp4-167.43 MB
• 05 - Packaging the ML Models/007 Create Config Module.mp4-166.11 MB
• 21 - Additional Learning on Topic of MLOps/002 Kubernetes 101 Part 1.mp4-159.25 MB
• 06 - Mlflow - Manage ML experiments/008 MLFlow Project.mp4-152.08 MB
• 15 - Deploy Applications with Docker Compose/002 Hands On - Docker Compose with Flask Application.mp4-148.8 MB
• 12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.mp4-141.44 MB
• 06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.mp4-140.24 MB
• 07 - Docker for Machine Learning/002 Introduction to Docker.mp4-137.63 MB
• 01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.mp4-136.31 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/024 Advanced Functions in Pandas DataFrame.mp4-136.3 MB
• 15 - Deploy Applications with Docker Compose/003 Hands On - Docker Compose Prometheus Grafana.mp4-133.76 MB
• 12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.mp4-133.61 MB
• 05 - Packaging the ML Models/026 Packagiing the ML Model & testing.mp4-132.49 MB
• 11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.mp4-132.39 MB
• 12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.mp4-131.79 MB
• 07 - Docker for Machine Learning/004 Working with Docker.mp4-130.37 MB
• 06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.mp4-129.39 MB
• 16 - Continuous Monitoring of Machine Learning Application/002 Hands On Monitoring of ML Application using Prometheus.mp4-126.08 MB
• 06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.mp4-124.64 MB
• 10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.mp4-123.9 MB
• 08 - Build MLApps using FastAPI/004 Crash course on FastAPI.mp4-122.29 MB
• 05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.mp4-115.6 MB
• 14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.mp4-113.88 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/015 Broadcasting on Numpy Arrays.mp4-112.97 MB
• 09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.mp4-107.01 MB
• 05 - Packaging the ML Models/005 Understanding the Modular Programming.mp4-106.56 MB
• 14 - Continuous Monitoring with Prometheus/014 Monitor the FastAPI Application using Prometheus.mp4-104.69 MB
• 10 - Build MLApps using Flask/003 Build ML Model App with Flask.mp4-104.16 MB
• 06 - Mlflow - Manage ML experiments/009 MLFlow Models.mp4-102.75 MB
• 12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.mp4-101.05 MB
• 05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.mp4-100.71 MB
• 12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.mp4-100.51 MB
• 14 - Continuous Monitoring with Prometheus/017 Trigger Alerts with Grafana.mp4-100.32 MB
• 12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.mp4-100.24 MB
• 05 - Packaging the ML Models/011 sklearn pipeline.mp4-99.28 MB
• 12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.mp4-96.83 MB
• 07 - Docker for Machine Learning/008 Dockerize the ML Model.mp4-95.47 MB
• 03 - Git and Github Fundamentals for MLOps/008 Git Branch.mp4-93.87 MB
• 04 - Crash Course on YAML/001 YAML Crash Course.mp4-91.84 MB
• 06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.mp4-91.35 MB
• 14 - Continuous Monitoring with Prometheus/012 Monitor the Linux Server with Node Exporter.mp4-90.23 MB
• 07 - Docker for Machine Learning/006 Working with Dockerfile.mp4-89.54 MB