Lectures Week 1 - February 12 - No lecture Week 2 - February 19 - MLOps basics Week 3 - February 26 - MLOps basics Week 4 - March 5 - Data Management and Versioning Week 5 - March 12 - Experiment Tracking Week 6 - March 19 - Packaging and Containerization for ML Week 7 - March 26 - Model Deployment Week 8 - April 2 - Model Monitoring and Drift Detection Week 9 - April 9 - Orchestration Week 10 - April 16 - Cloud MLOps / Local Deployment Week 11 - April 23 - Reading assignment/guest lecture Week 12 - April 30 - Reading assignment/guest lecture Week 13 - May 7 - Time for projects Week 14 - May 14 - Time for projects Week 15 - May 21 - Oral Exam/ Presentation
