Service
Deployed API
A small Python service with tests, CI, and a container you can roll back.
Testing, Git in a team, reviews, APIs, and a deployment you can roll back. The habits AI features fail without.
Created by Baljeet Dogra
Service
A small Python service with tests, CI, and a container you can roll back.
Habit
You sit as reviewer on a peer change and write what you would block on.
Expand a part for the syllabus. Content stays searchable when closed.
Branching, pull requests, bisect, and what never belongs in a commit.
Unit, integration, fixtures. What to mock. Coverage as a tool, not a trophy.
How to leave a review someone can act on. When a design note beats another PR comment.
REST, status codes, idempotency, auth headers, versioning. The model is just another client.
Docker, health checks, logs, a rollback drill. Capstone: the service off your laptop.
You can train a model. You have not had to own a service.
You ship scripts. You want the habits a team will trust.
Related: Python for GenAI · Data Structures & Algorithms
No. Containers and a rollback are enough here. Kubernetes for AI Systems is a later course.
No. By week 6 you will have.
Six weeks to a service you can test, review and roll back. Create an account to enrol.
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