ML Model Development and Tracking: Hands-on Guide Course
by Coursera
Master model development and experiment tracking in MLOps with hands-on tools. Ideal for data scientists moving to production ML workflows.
Why this course
- Clear focus on the critical 'Middle Loop' of MLOps often ignored in introductory courses
- Hands-on approach with practical tools like MLflow and Weights & Biases
- Well-structured modules that build progressively from training to tracking
- Relevant for real-world ML engineering roles and production workflows
