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Concepts to Copilots: How PMs Build Real Agentic AI Systems

Hosted by Mahesh Yadav

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Agentic AI Product Management Certification
Mahesh Yadav
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What you'll learn

What Agentic AI means in real products

You’ll learn how agentic systems work in practice beyond demos, buzzwords, and research papers.

Core multi-agent patterns PMs should know

You’ll understand simple agent patterns used in real products and when each pattern makes sense.

Building agentic systems without code

You’ll see how PMs prototype and validate agentic workflows without writing production code.

Why this topic matters

Agentic AI is moving from research to real products in 2026. PMs are now expected to design systems that plan, act, and coordinate autonomously. This lesson helps you move from abstract concepts to practical system thinking—so you can confidently design, evaluate, and ship agentic AI products without needing to be an engineer.

You'll learn from

Mahesh Yadav

Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni

Mahesh has 20 years of experience in building products at Google, Meta, Microsoft, and AWS AI teams. Mahesh has worked in all layers of the AI stack, from AI chips to LLM and has a deep understanding of how using AI agents companies ship value to customers. His work on AI has been featured at the Nvidia GTC conference, Microsoft Build, and Meta blogs.:

His mentorship has helped various students build real-time products & careers in the Agentic AI PM space.

Whether you're a hobbyist or a professional looking to get a grasp on GenAI Product Management, feel free to join our channels for more such sessions


Previously at

Google
Microsoft
Amazon Web Services
Meta

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