Live Cohort · Sat & Sun, 9–11 AM

Become a Generative AI Engineer. Live, hands-on, weekend-friendly.

A live cohort that takes you from LLM fundamentals to shipping production-grade RAG and agentic AI applications — taught by a Senior AI Architect who builds these systems for a living.

AgentloopPlanAct · ToolsObserveReflect

What you'll build · agentic AI: plan → act → observe → reflect

Live
Real-time, interactive classes
2 hrs
Per session · Sat & Sun, 9–11 AM
5+
Production-style projects
12+ yrs
Instructor industry experience
Who it's for

Built for developers who want to ship AI, not just talk about it

If you can write a bit of code and you're tired of tutorials that stop at 'hello world', this cohort is for you.

01

Full-stack & MERN developers

Add the most in-demand skill of the decade on top of the stack you already know.

02

Working professionals

Weekend timing (9–11 AM) means you upskill without quitting your job.

03

Founders & tech leads

Understand what's truly possible with AI so you can lead and ship it confidently.

Syllabus

From LLM fundamentals to production agents

Six modules, taught live across weekend sessions. Every module is hands-on and builds toward your own deployed AI applications.

01LLM Foundations & Prompt Engineering+
  • How large language models actually work: tokens, embeddings, context windows
  • The model landscape — choosing between Claude, GPT and open models for cost, speed and quality
  • Prompt engineering patterns that hold up in production (few-shot, structured output, system prompts)
  • Calling LLM APIs, handling streaming, retries, and rate limits
  • Hands-on: build your first reliable LLM-powered feature
02Retrieval-Augmented Generation (RAG)+
  • Why RAG matters: grounding answers in your own data to fight hallucination
  • Embeddings and similarity search explained intuitively
  • Vector databases hands-on: Pinecone and Weaviate
  • Chunking, metadata and retrieval strategies that actually improve answers
  • Hands-on: build a document-grounded Q&A application end to end
03Agentic AI with LangGraph & LangChain+
  • From chatbots to agents: tool use, planning and multi-step reasoning
  • Building agents with LangChain and orchestrating them with LangGraph
  • Self-reflection loops, memory, and state management
  • Durable, long-running workflows and human-in-the-loop control
  • Hands-on: build an autonomous, tool-using agent
04Evaluation, Observability & Safety+
  • Why 'looks good' isn't enough — evaluating AI like an engineer
  • RAGAs: faithfulness, answer relevance, context precision and recall
  • Tracing and debugging with LangSmith
  • Guardrails, prompt-injection defense and responsible AI basics
  • Hands-on: add an evaluation suite and quality gates to your app
05Full-Stack AI Applications+
  • Architecting an AI app: frontend, backend, model and data layers
  • Wiring AI into Next.js with FastAPI / NestJS backends
  • Streaming responses, auth, and conversation/session handling
  • Real-world AI UX patterns that build user trust
  • Hands-on: turn your RAG/agent into a polished full-stack product
06Ship, Scale & Career+
  • Deployment with Docker and CI/CD; environment and secrets management
  • Controlling cost and latency at real-world scale
  • Monitoring, logging and iterating on a live AI product
  • Building your AI portfolio and positioning yourself for AI roles
  • Capstone: deploy and present your own production-style AI application
Outcomes

What you walk away with

  • A deployed RAG application with proper evaluation
  • A working autonomous agent built on LangGraph
  • The ability to choose the right model, pattern, and tools for any AI problem
  • A portfolio that gets you hired or wins you clients
  • Lifetime access to session recordings & resources

Schedule

Live sessions every Saturday & Sunday, 9:00–11:00 AM IST. Interactive, recorded, and beginner-friendly in pace while staying deeply practical.

Format

Small live cohort · build-along projects · direct access to the instructor · private community for doubts between sessions.

Student outcomes

What past learners have built

Representative outcomes from developers who took the cohort. Some details are generalised to respect privacy.

Backend dev → AI engineer

Internal docs assistant shipped to a 200-person company

Challenge

A backend developer wanted to move into AI but had only built CRUD apps and felt stuck on tutorials.

Approach

Through the RAG and full-stack modules, built a document-grounded assistant over the company's internal wiki, with evaluation baked in.

Result

Shipped it internally during the cohort and was moved onto the company's new AI team within two months.

Founder → product

Agentic support bot for an early-stage SaaS

Challenge

A non-technical-leaning founder needed an AI support agent but didn't know what was realistically possible.

Approach

Used the agentic AI and evaluation modules to build a tool-using support agent grounded in the product's help center.

Result

Launched to real users with measurable deflection of repetitive tickets, and the confidence to keep iterating.

Testimonials

What learners say

I'd done a dozen YouTube tutorials and still couldn't build anything real. Six weekends later I had a deployed RAG app and the job offer that came with it.
Software Engineer
Gen AI Live cohort
The evaluation module alone was worth it. I finally understood how to know whether my AI was actually any good instead of just hoping.
Full-Stack Developer
Gen AI Live cohort
Live, hands-on, and taught by someone who clearly ships this stuff for a living. Every session we built something I could reuse at work.
Tech Lead
Gen AI Live cohort
FAQ

Questions, answered

Who should take this Gen AI course?+

Working developers, MERN/full-stack engineers, data professionals, and technical founders who want to build real Generative AI applications — not just read about them. Basic programming experience (any language) is enough.

When are the live classes?+

Live cohort sessions run every Saturday and Sunday from 9–11 AM IST. Each session is interactive, recorded, and the recordings are yours to keep.

Is it live or pre-recorded?+

100% live and interactive, taught personally by Bhupeesh Kathurria, a Senior AI Architect with 12+ years of shipping production systems. You ask questions in real time and build alongside the instructor.

What will I have built by the end?+

A portfolio of working projects — including a production-style RAG application and an autonomous agent — deployed and evaluated, plus the patterns to build your own.

Do I get a certificate?+

Yes. You receive a certificate of completion, and more importantly, real projects you can show in interviews and to clients.

Next cohort is filling up.

Reserve your seat for the live Gen AI course — weekends, 9–11 AM.

Enroll now