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AI System Design
POC to Production
Starts 7 November 20266 weeks · Sat-Sun
View Details for AI System DesignAI is rewriting engineering.Learn to build production-grade AI systems.
Live weekend cohorts for engineers moving into AI, scaling past POC, or interviewing.
- Engineers taught
- 700+
- Capstones shipped
- 30+
New cohort
RAG and Agents
in 9 Weeks
Starts 28 November 20269 weeks · Sat-Sun
View Details for RAG and AgentsTrusted by 600+ engineers across US, India and rest of the world
Your Instructors
Gaurav Sen
Founder AIEngg.dev | Ex-Uber, Directi
Tanishq Singh
AI Engineer | IIT Madras | University of Birmingham
Debjit Paul
Senior Researcher at a leading global AI lab | PhD, Heidelberg | Ex-EPFL
Vinay Kumar
AI Engineer & Educator | MS, IIT Kharagpur | Senior Technical Trainer, IIT Madras
Everything you get
Build production level capstone project
Get feedback from Gaurav & industry experts from Meta, Google, Amazon for 6 weeks
OpenAI credits for capstone project
Learn the theory, then implement it immediately on production APIs.
Lifetime access to Experts & Alumni network
Monthly access to industry leaders and alumni from every cohort.
Lifetime access to class recordings
Every session, forever yours.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Capstone Project
Acuity, vague requirements into a plan
Turns half written product requirements into something a sprint can be planned from, over a hybrid retrieval pipeline with reranking. RAGAS thresholds are wired into the merge gate at 0.90, so a retrieval regression stops the pull request instead of reaching a user.
Krishna Kumar PJ
HandoffLint, guardrails written as code
A linter for Figma handoffs whose guardrails are implemented rather than promised: groundedness and cross-modal hallucination filters run over every output, and a deterministic audit stays the authority over whatever the model says.
Aniket JadhavFamily Financial Tracker
A household expense agent that sends the model the merchant, the amount and the date, and nothing else. Field minimisation is the whole prompt injection defence, argued from a threat model and checked by a red team eval rather than asserted.
Lavanya MMEngineering Manager at SAPCustomer Issue Resolution Copilot
A support agent that turns a novel issue into a plan, has a person approve it, and then compiles what was done into a reusable skill. Six guardrail modules stand in front of it, including card detection that validates with Luhn rather than pattern matching, and the committed evals report their own misses instead of hiding them.
ReconAI, an agent that knows when not to act
A financial operations agent that decides for itself how far it is allowed to go. A deterministic confidence formula sorts every decision into one of three states, and anything under the bar routes to a person instead of guessing.
Tamilarasu RaviLead Developer at InOpTra Digital
Frequently asked questions
This program is for software engineers, staff engineers, tech leads and engineering managers who want to build scalable, production-grade AI applications. We expect prior coding experience, a basic understanding of software systems, and some exposure to RAG or agentic applications.
No. This cohort starts where a working prototype ends: agent design, retrieval, evals, deployment, observability and scaling. It assumes you have already built or used a basic RAG or agentic application, and it does not teach ML from first principles.
Yes, you will have lifetime access to all video recordings and reading material for this cohort.
We offer a 7-day money-back guarantee. If you are not satisfied with the program, you can request a refund within 7 days of the program start date. Contact our support team for a refund. Please note that payment gateway and currency charges will be non-refundable (~5-10% of invoice value).
Classes will be held every week at 9 AM - 10:30 AM IST, on Saturday and Sunday. We will also have networking sessions on Wednesday from 7 - 8 PM IST.
We provide a GSTIN invoice, course completion certificate, and clarifications to your team manager and HR if needed. You can download the Cohort Brochure here and find our email template for reimbursement here.
The classes require 3 hours per week to attend. We expect a student to study for 3 hours per week outside of class. The total time commitment is 6-8 hours per week.
Two: you should be proficient in at least one programming language, and you should have built or worked on a basic RAG or agentic application. Students are expected to code, design and deploy throughout the program.
