Production ML | Sri AI

Course overview

The distance between a notebook that works and a service that keeps working for a year is most of the job. This course is that distance.

Level: Advanced  ·  Mode: Evenings, online

Who this course is for

Engineers responsible for models after launch.

What you will learn

• Package and deploy models reliably
• Monitor for drift and silent failure
• Build reproducible training pipelines
• Roll back safely when a model degrades

Syllabus

1. Module 1: Packaging and serving
2. Module 2: Experiment tracking
3. Module 3: Pipelines and orchestration
4. Module 4: Monitoring and drift
5. Module 5: Cost control at scale

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

Machine learning.