From Python to Production RAG & Agentic AI
A 15-session, 100% hands-on bootcamp that takes students from their first line of Python to deploying real Retrieval-Augmented Generation and multi-agent AI systems — with a capstone, a GitHub portfolio, and placement-ready interview prep.
Five modules. Zero fluff.
Each session pairs core concepts with a hands-on build — click a session to see what’s inside.
Python for AI Engineers
session_01.pyPython Fundamentals▸
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session_02.pyPython for Real Applications▸
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Foundations of Generative AI
session_03.pyIntroduction to LLMs▸
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session_04.pyPrompt Engineering▸
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RAG Engineering
session_05.pyEmbeddings & Vector Databases▸
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session_06.pyBuild Your First RAG▸
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session_07.pyAdvanced RAG▸
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Agentic AI
session_08.pyIntroduction to AI Agents▸
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session_09.pyLangChain & LangGraph▸
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session_10.pyMulti-Agent Systems▸
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Building AI Applications
session_11.pyShipping to the Web▸
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session_12.pySecurity, Evaluation & Ethics▸
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Project Development & Demo Day
session_13.pyProject Development — build in a 3–4 person AI startup team▸
Team Roles
Mentors Review
session_14.pyProject Demonstration Day▸
Each Team Presents
Outcome
session_15.pyCareer Readiness Masterclass▸
Topics
Tools you’ll actually use on the job
Not toy tools — the same stack production AI teams ship with.
Six projects for your GitHub, before the capstone even starts
Every student ships these independently across the program — real code, real repos.
AI Chatbot
Your first conversational app, wired directly to an LLM.
Resume Analyzer
Prompt-engineered tool that reviews and scores resumes.
PDF Chat (RAG)
Ask questions of any document with retrieval-augmented generation.
Enterprise Knowledge Assistant
Multi-document RAG with hybrid search and reranking.
Multi-Agent Research Assistant
Planner, researcher, critic and supervisor agents working together.
Final Capstone Project
A full production AI product, built and demoed as a team.
Pick your team’s mission
Every capstone team chooses a real-world problem to solve as their final build.
What every student walks away with
Keep going — Virtual Industry Internship
Students wanting deeper practical exposure can continue into a mentor-led internship after the bootcamp, working like a real AI team on Agile sprints.
On completion, receive
Why students choose this bootcamp
Learn the most in-demand AI technologies of 2026 — not last decade’s stack.
Build a portfolio with six practical, resume-ready AI projects.
Work with the same tools industry AI teams use in production.
Learn from industry experts with production-grade experience in RAG and AI, who’ve built and shipped multiple real-world applications.
Get mentor guidance, mock interviews, and dedicated interview prep.
Ship a capstone project designed to be shown off at placements.
Optionally extend into a real mentor-evaluated industry internship.
Learn from architects, not just instructors
Two decades-plus of enterprise AI experience, brought straight into your sessions and capstone reviews.
20+ years building large-scale enterprise systems, with deep expertise across Java, microservices, big data, Python, AWS, machine learning, and generative AI. Previously worked with Oracle Financial Services Software and Barclays, and regularly runs corporate trainings and workshops on ML, deep learning, and modern software architecture.
20+ years in data engineering, analytics, machine learning, and enterprise AI, specializing in generative AI, LLMs, RAG, MLOps, and cloud-native platforms across Azure, GCP, and AWS. Held leadership roles at Barclays, J.P. Morgan, Publicis Sapient, and UNICC, delivering enterprise AI assistants and scalable ML pipelines. Also works as a fractional CTO and AI advisor to startups and enterprises.
Your next commit could be a career.
15 sessions. 6 projects. One capstone. Everything you need to walk into placements ready.