AI: Machine Learning & Model Training
Experiment tracking & hyper-parameter tuning | Sri AI
Intermediate
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Course overview
Stop losing the one good run. Track every experiment and let the computer search for better settings.
Level: Intermediate · Mode: Evenings, online
Who this course is for
Anyone training more than a handful of models.
What you will learn
- Log runs, metrics and artefacts
- Compare experiments properly
- Automate hyper-parameter search
- Reproduce a result months later
Syllabus
- Module 1: Why runs go missing
- Module 2: Tracking with MLflow
- Module 3: Search with Optuna
- Module 4: Reproducibility
- Module 5: Model registry
Final project
Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.
Before you start
PyTorch from zero, or Machine learning.