MLOps Tools: MLflow and Hugging Face

Module 1 - Introduction to MLflow \- Video: Meet your Course Instructor: Alfredo Deza (3 minutes, preview) \- Reading: Meet your Supporting Instructor: Noah Gift (10 minutes) \- Reading: Course Structure and Discussion Etiquette (10 minutes) \- Reading: Getting Started and Best Practices (10 minutes) \- Reading: Key Terms (10 minutes) \- Video: Overview of MLflow (4 minutes) \- Video: Installing and Using MLflow (5 minutes) \- Video: Introduction to the Tracking UI (8 minutes) \- Video: Parameters, Version, Artifacts and Metrics (10 minutes) \- Reading: What is MLFlow? (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: MLflow (30 minutes) \- Video: Working with MLflow Projects (4 minutes) \- Video: Create an MLflow Project (7 minutes) \- Video: Run Project from Remote Git Repositories (3 minutes) \- Reading: Key Terms (10 minutes) \- Reading: MLflow Projects (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Introduction to MLFlow (30 minutes) \- Ungraded Lab: MLflow Projects (60 minutes) \- Video: Connecting MLflow to Databricks (5 minutes) \- Video: Components of an MLflow Package (6 minutes) \- Video: Using a Registry with an MLflow Model (5 minutes) \- Video: Referencing Artifacts with the API (8 minutes) \- Video: Saving and Serving MLflow Models (8 minutes) \- Reading: Key Terms (10 minutes) \- Reading: MLflow Models (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: MLflow Projects (30 minutes) \- Discussion Prompt: Meet and Greet (optional) (10 minutes) \- Discussion Prompt: Let Us Know if Something's Not Working (10 minutes) Module 2 - Introduction to Hugging Face \- Video: What is Hugging Face? (5 minutes, preview) \- Video: Overview of the Hugging Face Hub (5 minutes) \- Video: Introduction to the Hugging Face Hub (5 minutes) \- Video: Using Hugging Face Repositories (7 minutes) \- Video: Using Hugging Face Spaces (12 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Hugging Face Hub (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Video: Introduction to Applied Hugging Face (1 minute) \- Video: Using GPU Enabled Codespaces (8 minutes) \- Video: Using the Hugging Face CLI (2 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Hugging Face CLI (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Video: Using the Model Hub (7 minutes) \- Video: Downloading Models (7 minutes) \- Video: Working with Models (9 minutes) \- Video: Adding Datasets (6 minutes) \- Video: Using Datasets (10 minutes) \- Video: Working with Datasets (6 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Datasets (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Hugging Face Fundamentals (30 minutes) \- Ungraded Lab: Introduction to Hugging Face (60 minutes) Module 3 - Deploying Hugging Face \- Video: Hugging Face and FastAPI (4 minutes, preview) \- Video: Containerizing Hugging Face (3 minutes) \- Video: Running FastAPI with Hugging Face (7 minutes) \- Video: CI/CD Packaging with GitHub Actions (9 minutes) \- Reading: Key Terms (10 minutes) \- Reading: FastAPI (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Deploying Hugging Face (30 minutes) \- Video: Hugging Face and Azure ML Studio (4 minutes) \- Video: Registering a Hugging Face Dataset on Azure (7 minutes) \- Video: Registering a Hugging Face Model on Azure (5 minutes) \- Video: Inspecting a Hugging Face Dataset on Azure (2 minutes) \- Video: Azure ML Python SDK (5 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Azure ML Python SDK (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Quiz-Packaging Hugging Face (30 minutes) \- Video: Using GitHub Actions for Model Deployments (5 minutes) \- Video: Using Azure Container Registry (3 minutes) \- Video: Automating Packaging with Azure Container Registry (7 minutes) \- Video: Automating Packaging with Docker Hub (6 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Docker Overview (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Hugging Face and Azure (30 minutes) \- Ungraded Lab: Packaging Hugging Face (60 minutes) Module 4 - Applied Hugging Face \- Video: Create an Azure Container Application (5 minutes, preview) \- Video: Configure an Azure Container Application (5 minutes) \- Video: Deploy Hugging Face to Azure (12 minutes) \- Video: Troubleshooting Container Deployment (4 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Applied Hugging Face (30 minutes) \- Ungraded Lab: Deploying Hugging Face (60 minutes) \- Video: Introduction to Fine-Tuning Theory (2 minutes) \- Video: Performing Fine-Tuning (8 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Quiz: Quiz-Hugging Face with Azure Containers (30 minutes) \- Video: Introduction to ONNX and Hugging Face (8 minutes) \- Video: Exporting Hugging Face Models to ONNX (4 minutes) \- Ungraded Lab: Hugging Face and ONNX (60 minutes) \- Quiz: Quiz: Fine-Tuning and ONNX Exporting (30 minutes) \- Video: Introduction to Hugging Face Spaces (4 minutes) \- Video: Hugging Face Spaces Walkthrough (6 minutes) \- Video: Deploying Hugging Face Spaces (3 minutes) \- Reading: Key Terms (10 minutes) \- Reading: Regulatory Entrepreneurship (10 minutes) \- Reading: Ethical Sourcing of Datasets (10 minutes) \- Reading: Glaze (10 minutes) \- Reading: Lesson Reflection (10 minutes) \- Video: Profit Sharing Concepts (5 minutes) \- Video: Tragedy of the GenAI commons (4 minutes) \- Video: Game Theory of GenAI (4 minutes) \- Video: Perfect Competition (2 minutes) \- Video: Negative Externalities (3 minutes) \- Video: Regulatory Entrepreneurship (4 minutes) \- Reading: Next Steps (10 minutes) \- Ungraded Lab: Final Jupyter TensorFlow Sandbox (60 minutes) \- Ungraded Lab: VSCode Final Sandbox (60 minutes) \- Ungraded Lab: Linux Desktop Final Desktop (60 minutes)