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In one live, practical workshop, understand how a production-style RAG application works — and get the roadmap to move from software engineer to AI engineer.
Taught by Abhishek Jain
Lead Engineer · Former Principal Engineer (NatWest) · 13+ years building scalable software systems
Registration
₹299
₹199
Secure payment · instant confirmation
10
ENGINEERS TRAINED
4.5
AVG. RATING / 5
5
STARTED THE 90-DAY PATH
Not a slide of buzzwords — the real path a document takes from raw file to a grounded, trustworthy answer.
See how documents become reliable, context-aware AI responses.
Understand the architecture choices behind useful AI applications.
Leave with a clear roadmap from Python and LLMs to AI engineering.
No bloated curriculum. Every part of the session connects the concepts, architecture, and next project you should build.
Join the live workshop — ₹199The AI-engineering roadmap
Where RAG fits — and what to learn first.
How LLMs and RAG work
The limits of LLMs, then the pipeline that makes them useful.
Live RAG architecture walkthrough
Documents → chunks → embeddings → vector store → retrieval → response.
Implementation and demo
See how a practical Python-based RAG application is put together.
Your next 90 days
A realistic project and learning path towards AI engineering.
Live Q&A
Bring your career and architecture questions.
Abhishek Jain is a Lead Engineer and former Principal Engineer at NatWest. He brings 13+ years of experience building scalable enterprise applications and mentoring engineers through real-world system design.
“The biggest mistake developers make is learning AI tools before understanding AI systems.”
Registration
₹299
₹199
Secure payment · instant confirmation
Join the live workshop, understand the system, and leave with a clear next step.
Reserve your seat — ₹199Save ₹100 today · Secure payment · Instant confirmation