Go from fundamentals to shipping real Generative AI products — LLMs, RAG, AI agents and the full enterprise AI stack, through live classes and a recorded library you can revisit anytime.
The Generative AI Engineer Program takes you from fundamentals to shipping real Generative AI products. Across six project-based modules you'll go past demos and build the things that actually run in production — LLM applications, RAG pipelines over private data, tool-using agents on the Model Context Protocol, and the deployment and MLOps work that keeps them alive. Every module pairs live classes with a recorded library you can revisit, and ends in something you built.
Large Language Models (LLMs) · Prompt Engineering · Retrieval-Augmented Generation · Vector Search & Embeddings · AI Agents · Model Context Protocol (MCP) · Multi-Agent Orchestration · Fine-Tuning · MLOps & Deployment · AI Application Architecture
Both coding and no-code paths run through the same program, so you don't need a development background to start. If you can use a computer confidently you can follow the beginner track; if you already write code you can take the engineering track through the same modules.
Every plan unlocks both live and recorded learning — choose the one that fits you.
Scheduled live sessions with instructors, real-time questions, plus weekly doubt-clearing calls and detailed project reviews.
Missed a class or want to revise? Rewatch the entire recorded library whenever you like.
All-access with the Bundle, a single track with Monthly, or pay once for lifetime access.
Everything is oriented around what you can build and show at the end.
Every module ends in something you built and can demo, never a written quiz.
1:1 guidance and weekly doubt sessions with practitioners who build this for a living.
Finish with demo-ready GenAI projects that a hiring manager can open, run and review.
Live on Zoom with a full recorded library, so a missed session costs nothing.
Two paths through the same program — pick the track that fits your background.
A shareable program certificate, issued once all your work is built and signed off.
Six outcomes you can point at in an interview, each backed by something you built.
Build and deploy production-grade Generative AI applications
Design RAG pipelines over your own data with vector search
Engineer autonomous AI agents and multi-agent workflows
Work with LLMs, prompting, fine-tuning and the MCP tool ecosystem
Ship cloud-based AI solutions with real-world MLOps practices
Present a portfolio of demo-ready projects to employers
Each with live sessions, recorded lessons and a project.
LLMs, tokens, embeddings and the modern AI stack — how it all fits together.
Reliable prompting, structured outputs, and building your first LLM-powered app.
Retrieval-augmented generation over private data, chunking, and evaluation.
Tool-using agents, multi-agent orchestration, and the Model Context Protocol.
Serving, monitoring, cost control and shipping AI to the cloud.
Build an end-to-end GenAI product with mentor reviews and a certificate.
Everything people ask before enrolling.
Live classes and recorded videos on every plan, with hands-on projects and mentor support the whole way.