Advanced AI Product Management

Transformational. Not just a refresher in ML and deep learning, but the foundation of AI thinking, agentic coding and a lot more. TL;DR: I built an end-to-end working app!

I dreaded writing code. Four months later I shipped a fully deployed, production AI application, the APAC Payment Intelligence Monitor. You don’t need Python; you need to think clearly and work with AI as your engineering partner. The output here is a live product, not just a certificate.

Fantastic course, highly recommended. Deepak has done an outstanding job preparing course material that’s heavy on signal and very PM-specific. From a deeper understanding of Gen AI to a mental model of when and how to use it in real-world use cases, this course explores everything.

For my capstone I built Quizzinga: AI generates questions from any topic or PDF, and participants join with a link, no sign-ups. Deepak’s course gave me the frameworks to actually ship it, from AI evaluation strategy to context engineering. I built the full stack with Claude Code.

Exceptional course bridging AI theory with practical product development. Deepak’s student-centric teaching, comprehensive curriculum (prototyping to agentic AI) and hands-on capstone made complex topics actionable. His willingness to tackle tough questions head-on inspires better thinking.

It didn’t assume any prior knowledge of LLMs, model selection, RAG or AI agents. I unlearned and relearned these concepts through a structured framework that showed how they connect and build on each other, and can now hold real, meaningful discussions with tech teams.

I built Nivriti, an AI-powered financial planning assistant, end to end: dual-LLM design, automated evals, a quality-scoring judge and guardrails. Deepak showed me what it truly takes to own and build an AI product.

It deepened my understanding of the end-to-end AI product lifecycle, translating business problems into AI solutions, building and evaluating models, cross-functional collaboration and responsible AI. It bridged the gap between AI technology and product strategy so I can drive real, measurable outcomes.

Highly recommend this program for seasoned product managers. The diverse perspectives on AI that emerged in discussions from participants across different industries and functions are worth the investment alone. The cross-functional insights enriched the experience beyond what any single-track program could offer.

What makes 50+ PMs attend 4-hour classes on consecutive Saturday mornings? A course structured from broad PM concepts all the way to how LLMs actually work, prompting, RAG, agents, evals, MCP, playing with real AI tools from day one. View the fee as an investment, not a cost.

We dove deep into building AI products, prototyping, foundation models, AI PRDs, prompt engineering, RAG, fine-tuning, agentic AI and evaluation frameworks, all applied hands-on through a real capstone. Huge shoutout to Deepak for his student-centric approach and willingness to confront the tough questions.

The best managers, teachers and coaches are demanding in the process, but generous in the outcomes. I keep learning from Deepak because he pushes us to apply ourselves to every concept, I personally loved AI product architecture, data engineering, RAG and agentic AI.

This wasn’t just about learning. We built a real product, solved a real problem, and got real users, teaming up to publish meeting minutes for Toastmasters clubs. Result: a product ready for real-world use, first customer acquired, and high ratings from judges at the capstone demo day.

Deepak connects the dots across industry trends, psychology, history and raw data. We covered the full spectrum, from ML fundamentals to LLMs, RAG, agents and evals, always grounded in PM fundamentals. It gave me the confidence to solo-build an enterprise product.