MLOps Platforms and Tools

Master the MLOps lifecycle, explore leading platforms, and implement automated pipelines for deploying and monitoring machine learning models in production.
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Introduction to MLOps and the MLOps Lifecycle

Unit 1: Understanding MLOps Fundamentals

Unit 2: The MLOps Lifecycle

Unit 3: Beyond Deployment: Monitoring & Governance

MLOps Platforms: Setup, Configuration, and Experiment Tracking

Unit 1: MLOps Platform Overview

Unit 2: MLflow Setup and Configuration

Unit 3: Automated Model Training Pipelines

Model Deployment, Monitoring, and Versioning

Unit 1: Model Packaging and Deployment

Unit 2: Deployment Strategies

Unit 3: Model Monitoring

Unit 4: Model Versioning and Rollback

Advanced MLOps: Feature Stores, Security, and Emerging Trends

Unit 1: Feature Stores for MLOps

Unit 2: MLOps Security and Compliance

Unit 3: Emerging Trends in MLOps

Unit 4: Troubleshooting MLOps Challenges