Build AI Agents
That Ship to
Production
14 live sessions. Real agentic systems. From GenAI foundations to multi-agent pipelines, RAG, and production deployment, in 7 weeks.
What you'll be able to do
Not just topics you've studied, things you can actually build and ship.
Our alumni work at
Amazon
LTM
UIDAI
Lloyds Technology
e-connect
Mars TechnologiesAmazonLTMUIDAILloyds Technologye-connectMars TechnologiesThe curriculum is a system architecture
Every week builds on the last, like assembling a real production AI system, one layer at a time.
All sessions are live + recorded. Access for 6 months.
What you'll build
Every project is a real multi-agent system. Not a toy. Pick one and ship it as your capstone.
AI Interview Coach
Paste a job description and get role-specific interview questions, answer evaluation, and structured improvement feedback.
E-commerce Support Agent
A customer sends a complaint or question. Agents classify intent, retrieve policy from documents, and draft a professional response.
Business Intelligence Agent
Connect to a CSV or database. Agents fetch data, identify trends and anomalies, and auto-generate a formatted weekly business report.
Autonomous Code Reviewer
Paste a GitHub repo URL or raw code. Agents analyse structure, identify bugs and security issues, and suggest corrected code with explanations.
Competitive Intelligence Tracker
Input 3 competitor names. Agents search for recent news, product updates, and pricing changes, then synthesise a one-page briefing.
Meeting Intelligence System
Paste a meeting transcript. Agents extract decisions and action items with owners and deadlines, and draft follow-up emails per stakeholder.
These are example capstones from the program. You can also propose your own, instructors sign off in Week 1.
Who is this for?
Built for engineers who want to ship AI. Not just understand it.
✓Perfect for
- ✓Software Engineers
- ✓Data Engineers
- ✓Backend Developers
- ✓Tech Leads
- ✓CS students with Python experience
✕Not for
- ✕Complete non-technical beginners
- ✕Those expecting prompt engineering only
- ✕People wanting pre-recorded self-paced content
Practitioners, not content creators
Every instructor has shipped AI systems to production. They teach what they've actually built.
Pallav Rustogi
Instructor
Software engineer with 15+ years of experience designing and shipping production software systems at scale. Holds an MS in Computer Science from the University of Southern California. Pallav bridges the gap between classical software engineering and modern agentic AI, making complex systems intuitive to build.
Ankita Gulati
Instructor
Data engineer with 6+ years building robust data pipelines and analytics systems at scale. Ankita brings deep hands-on expertise in data architecture, RAG systems, and agentic workflows, and a gift for making hard concepts click through real projects.
Karthikeyan Dhanakotti
Instructor
Senior data engineer with 20+ years architecting large-scale data systems across industries. One of the most experienced engineers you'll learn from, Karthik brings decades of battle-tested production wisdom to AI system design, helping you avoid the pitfalls most courses never mention.
What alumni say
Real words from real engineers. Not cherry-picked marketing copy.
“I have seen many course creators and cohort instructors who publish their content and then completely disappear when students need help. Yet you guys are answering every question with patience and clarity even when it means explaining the same concept multiple times. Highly appreciate it.”
“Got the correct classification output for a can image. Thanks for nudging me in the right direction. It gives me a solid base to build upon and better understand the concepts practically.”
“Liking the course, it covers required theory + practicals and you are clarifying doubts on time. Usually I have seen people won't respond at all for the queries. Really appreciate it!”
“I joined the Agentic AI cohort to bridge the gap between knowing AI concepts and actually building with them, and it exceeded every expectation. The program covered everything from embeddings and RAG to LangChain, LangGraph, and full agentic workflows, with a strong focus on production-level application. The mentors, Pallav, Karthik, and Ankita, were outstanding. They were patient, knowledgeable, and always helped connect theory to real-world implementation.”
Full value stack
Here's everything included, and what each piece would cost you separately.
Investment in your AI career
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Common questions
Everything you want to know before enrolling.