Live on Zoom · 2 weekends · Next batch Aug 1, 2026

Ship a production RAG app in two weekends.

A live, hands-on RAG Engineering Bootcamp for working developers — embeddings to evaluation to deployment. You leave with a deployed app on your GitHub, not a watch history.

Book Your Seat — Free 90-minute live masterclass Early Bird — ₹5,999 ₹3,999 Full 2-weekend bootcamp

Taught by a Staff AI/ML Engineer at Intuit (ex-Visa, ex-TCS). Basic Python is all you need — no ML background.

01 — Who it's for

Every AI job posting now asks for RAG experience.

Most developers have only watched tutorials — they've never shipped one. This bootcamp closes that gap.

/backend

Backend & Full-Stack Developers

Add AI engineering to your stack. Ship the RAG features your company is already asking for, and stand out in your next appraisal.

/data

Data Analysts & Data Scientists

Move from notebooks into AI engineering roles — retrieval pipelines, evaluation, and deployment are the skills that get you there.

/switching

Developers Targeting AI Roles

Walk into interviews with a deployed, portfolio-ready RAG project on your GitHub — plus dedicated interview prep in the final session.

02 — What you'll build

You won't just watch. You'll ship.

Every session ends with something working on your machine. By the end, it's working on the internet.

build/01

Semantic Search Engine

Embed and search a real document set with FAISS/Chroma — chunking strategies, embeddings, and vector similarity from scratch.

build/02

RAG API Over Your Own Data

A working retrieval pipeline with hybrid search and re-ranking, built with LangChain/LlamaIndex on a production vector DB.

build/03

Evaluated, Deployed RAG App

An eval harness with real metrics (RAGAS), hallucination control, and a live deployment with FastAPI + Docker — your GitHub portfolio piece.

Free masterclass · 90 min

Not ready to commit? Start with the free masterclass.

Why RAG is the #1 skill for AI engineering roles in 2026, a full "chat with your PDF" build end-to-end, and the RAG failures companies actually struggle with. Runs in the weeks before each batch — register to get the date and Zoom link.

Save My Free Seat
03 — Curriculum

Two weekends. Four live sessions.

Three hours per session, live on Zoom with doubt-solving. Recordings available for 30 days after the cohort.

Session 1 — Foundations wk1 · sat
  • LLM APIs, tokens, and context windows — what actually matters in practice
  • Embeddings and vector similarity, explained by building with them
  • Chunking strategies: the #1 reason RAG apps fail (and how to fix yours)
  • You ship: embed and search a real document set with FAISS/Chroma
Session 2 — Build the Pipeline wk1 · sun
  • Vector databases in production: Pinecone, Qdrant, pgvector — how to choose
  • Retrieval strategies, hybrid search, and re-ranking
  • Prompt design for grounded, cited answers
  • You ship: a working RAG API over your own data (LangChain/LlamaIndex)
Session 3 — Production Concerns wk2 · sat
  • Evaluation with RAGAS: golden datasets, metrics, failure analysis
  • Hallucination control and answer grounding
  • Caching, cost optimisation, and security/PII handling
  • You ship: an eval harness with real metrics on your own pipeline
Session 4 — Advanced + Deploy wk2 · sun
  • Agentic RAG, multi-query retrieval, and a GraphRAG introduction
  • Deployment: FastAPI + Docker + cloud, end to end
  • AI engineering interview prep: what hiring managers actually ask
  • You ship: a deployed app + GitHub portfolio project
12
hours live training
1
deployed project
20
seats per batch
30
days recording access
04 — Your instructor

Taught from production, not from slides.

SN

Suman Nath

Staff AI/ML Engineer @ Intuit · ex-Visa · ex-TCS

I've spent 14 years making complex systems reliable — the last 3 doing that for AI. At Intuit I architect agentic AI and RAG systems for production: evaluation frameworks, MCP-based multi-agent architectures, and hybrid vector + graph retrieval at scale. Before that, I built RAG pipelines for financial workflows at Visa and led teams of 50+ engineers at TCS.

Building a RAG pipeline that demos well takes a weekend. Building one that's reliable in production takes a fundamentally different approach — that's exactly what this bootcamp teaches.

Full Bio

Intuit
Agentic AI systems, evaluation frameworks, and hybrid vector + graph retrieval — in production today.
Visa
RAG pipelines for financial workflows and an MCP triage agent over live enterprise systems.
TCS
A decade of engineering leadership — teams of 50+ across India and the Netherlands.
05 — Pricing

Simple, honest pricing.

Early-bird price for the first 10 seats. Well under market — structured live programmes in India run ₹8,000–₹50,000.

Self-paced

Recordings Only

₹1,499
one-time
  • All 4 session recordings
  • Code repo & slides
  • Certificate of completion
Get the Recordings
Early bird — first 10 seats

Live Bootcamp

₹5,999₹3,999
then ₹5,999 standard
  • 4 live sessions × 3 hrs on Zoom
  • Live doubt-solving, small batch
  • Recordings — 30-day access
  • Code repo & slides
  • Private WhatsApp/Discord group
  • Certificate of completion
Reserve Your Seat
Limited seats

Bootcamp + Mentorship

₹9,999
one-time
  • Everything in Live Bootcamp
  • Two 1-on-1 doubt-clearing calls
  • Personal resume & project review
  • Priority support in the group
Go Premium

Guarantee: attend Session 1 — if it's not for you, full refund, no questions asked.

06 — FAQ

Frequently asked questions.

What are the prerequisites?
Basic Python — if you can write functions and install packages, you're ready. No ML or math background needed; we build everything from first principles.
What if I miss a live session?
Every session is recorded and available for 30 days after the cohort ends, along with the full code repo and slides.
Will I need to pay for AI tools or APIs?
You'll need an LLM API key (OpenAI or Anthropic). Expect roughly ₹300–₹500 (~$5) of usage for the whole bootcamp. Everything else we use is free or open-source (FAISS, Chroma, FastAPI, Docker).
How is this different from free YouTube tutorials or recorded courses?
Three things: it's live (your doubts get solved in the moment, not in a comment section), it's current (agents, evals, and tooling change monthly — recorded courses are outdated within months), and it's project-based (you leave with a deployed app on your GitHub, not a watch history).
Is there a certificate?
Yes — a certificate of completion is issued after the final session, which you can add to LinkedIn along with your deployed project.
What's the refund policy?
Attend Session 1 in full. If it's not right for you, email us before Session 2 and get a 100% refund, no questions asked.
Next batch — August 1, 2026

Early bird ₹3,999 for the first 10 seats.

Small batch, live doubt-solving, and a deployed RAG app on your GitHub in two weekends. When the early-bird seats fill, the price moves to ₹5,999.

Enroll Now