AI Engineering
AI Engineering Foundations
Building software on top of a model, not just calling one
Most developers can call an API. This track is the engineering around that call: structured output, retries, evaluation, and code you would actually put in front of a reviewer.
- How it runs
- Self-paced, applied through your capstone
- Starting point
- Comfortable writing Python
- Included in
- ₹9,999
02
AI Engineering
What you actually learn
Calling a model is the easy part. This track covers the rest: designing an interface around a model's unpredictability, testing prompts the way you test code, and building the guardrails that keep an AI feature from embarrassing you in production.
Working with model APIs the way production code does: retries, streaming, and structured output
Evaluating what a model returns, so you can defend the choice in an interview
Cost, latency, and failure handling for a feature that has to actually stay up
Wiring a model into a real backend, not a notebook
Where it lands in the 12 weeks
This is coursework you do while you are building, not before it. It is timed to hit when your capstone needs it, and it ends somewhere: a profile in front of people who are hiring.
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Weeks 8 to 9
This program is part of the Launchpad
Every program here runs inside the 12 weeks LvlUp Career Launchpad, for ₹9,999. Applications for the next cohort close soon.