🤖 ML Pipeline with Azure ML Lab¶

Build end-to-end machine learning pipelines integrating Azure ML with Synapse Analytics. Learn model training, deployment, monitoring, and MLOps practices.

🎯 Learning Objectives¶

• ✅ Design ML pipelines with Azure ML
• ✅ Integrate Synapse with Azure ML for feature engineering
• ✅ Train and evaluate models at scale
• ✅ Deploy models to production endpoints
• ✅ Implement MLOps workflows and monitoring
• ✅ Track experiments with MLflow integration

⏱️ Time Estimate: 4-5 hours¶

📋 Prerequisites¶

• Machine learning fundamentals
• Python and scikit-learn experience
• Azure ML workspace setup
• Completed advanced analytics lab

🤖 Lab Modules¶

[Lab content with ML pipeline design, feature engineering with Synapse, model training examples, deployment strategies, monitoring setup, experiment tracking, and MLOps best practices]

Lab Version: 1.0 Last Updated: January 2025