Generative AI
Understand what generative models are, how they differ from classical ML, and the vocabulary you need to reason about prompts, context, and evaluation.- Foundations of generative AI
- Practical patterns for working with LLMs
- Applied intuition for building on top of pre-trained models
Building REST APIs with Flask
Turn your models and logic into services other apps can call:- Structure a Flask application for real workloads
- Design clean REST endpoints
- Handle requests, responses, and errors the way production services do
Building LLM Applications
Bring the two halves together and ship complete Gen AI apps:- Compose LLMs with your own data and tools
- Wire an LLM-powered backend to a usable frontend
- Package a project you can show off in interviews and on your resume
Gen AI projects are a strong differentiator in placement interviews. Combine this track with the Full Stack track to ship a full product, not just a prototype.
Build faster
Code Playground
Run web and SQL code directly in your browser while you prototype LLM-powered apps.
Full Stack
Add a React frontend and a Node backend to your Gen AI projects so they feel like real products.
