Build production-grade AI applications with GPT-4, Claude, and Gemini. From prompt engineering to fine-tuning to full LLM application deployment.
A practical, job-ready curriculum reviewed every 90 days against what employers are actually testing for in interviews.
8 weeks · 48 hours live instruction · 16 hours of hands-on labs
Senior AI Engineer · Ex-Google · 8 years shipping production AI
Rahul built and shipped AI recommendation systems at Google India for 5 years before moving into consulting. He has deployed LLM-powered products for 20+ enterprise clients including 3 Hyderabad GCCs. He joined AIEngineers.in because he was tired of watching talented engineers learn theory that had no connection to what companies were actually hiring for.
Every graduate ships a real project. Not a todo app — a working AI system you can demo in interviews.
You will build a production-ready AI assistant that ingests any company's documents — PDFs, URLs, databases — and answers questions with accurate, cited responses. The system uses RAG architecture with streaming responses, multi-turn memory, and a clean web UI.
I came from a BPO background with zero coding experience. This course made me understand not just how to use LLMs but why they work the way they do. The capstone project I built is what got me my Microsoft GCC interview. Placed in 3 weeks of finishing.
Now at Microsoft GCC, ₹26 LPAThe live sessions are genuinely live — Rahul debugs our code in real time and explains what went wrong. No pre-recorded content pretending to be live. The Anthropic Claude API section alone is worth the full course price for 2026 hiring.
Joined Razorpay as ML Engineer8 years as a Java developer. I was terrified I was too late. The instructor showed us how to use what we already know as developers. LLM API integration is just API integration — and I already knew APIs. Tripled my salary in one move.
LangChain Engineer, Deloitte GCC ₹32 LPAMost students combine this course with one of these to build a complete hire-ready skill stack.