Mastery · Paid course

AI/ML Engineer — Build, Evaluate & Ship ML

Go from "I can call an API" to building, evaluating and deploying ML systems that survive contact with production.

What you'll be able to do

• ✓Decide when ML is the right tool — and when a rule or an API call is better.
• ✓Build a clean training pipeline: data splits, features, leakage checks.
• ✓Evaluate models honestly with the right metric and a baseline you must beat.
• ✓Serve a model behind an API with versioning, latency budgets and fallbacks.
• ✓Monitor for drift and know when to retrain — the part most courses skip.
• ✓Ship a capstone: a trained model + service you can show an employer or client.

Syllabus