Optimize ML Dev: Version, Reproduce, and Save
by Coursera
Learn to build reproducible, cost-efficient ML workflows using Git, Poetry, and resource monitoring on Coursera.
Why this course
- Teaches critical version control practices specific to ML workflows
- Hands-on lab reinforces reproducible environment setup with Poetry
- Focus on resource monitoring addresses real production pain points
- Covers cost-saving techniques relevant to cloud-based ML operations
