01
A working RAG app
Index documents and answer questions from them.
live, online, one real build
Build a retrieval-augmented app that answers questions from your own documents, in one live session.
Overview
Details are being finalised. This is the planned scope.
Index documents and answer questions from them.
See how to check that answers come from the sources.
Tech stack
Real, current tools used in production AI engineering. You install them once and use them in every session.
Python
Agenda
What retrieval adds to a model.
Chunk, embed, retrieve and answer.
Test answers and next steps.
Draft plan. The final schedule is confirmed when dates are announced.
Outcomes
Code you wrote and can extend.
How retrieval and generation fit.
Who it is for
A good fit if you
Consider the cohort if you
Instructor
Rajath Kumar K S
Founder of Analog Data. Teaches AI engineering through live online cohorts and workshops.
How registration works
Choose Get notified and tell us your email.
You hear from us first when a batch opens.
Complete registration on a secure page and get your joining details.
After the workshop
Tools, MCP, RAG, LangGraph, FastAPI, evaluation and deployment.
FAQs
Dates are to be announced. Use Get notified and we will email you when a batch opens.
Yes. Every session is taught live online by an engineer.
Ready when you are
To be announced + GST · 3 hours live online · Dates to be announced