Redesigning Product Teams for the Agentic AI Future

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Leadership in the AI Era

Redesigning Product Teams for the Agentic AI Future

Hosted by Mahesh Yadav

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1,339 students

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Agentic AI Product Management Certification

Mahesh Yadav

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1,339 students

Share this lesson

Go deeper with a course

Agentic AI Product Management Certification

Mahesh Yadav

View syllabus

What you'll learn

The Structure of Tomorrow’s Product Teams

Discover how AI-native teams differ from traditional product orgs and what roles are rising.

Evolving PM Responsibilities in the Agentic Era

Learn how PMs must shift from feature specs to workflow design, prompt engineering, and model stewardship.

How to Build Faster with AI Agents & Copilots

Explore how autonomous agents and LLM-powered tools will reshape execution, speed, and collaboration.

Why this topic matters

The rise of agentic AI means teams won’t just build products, they’ll collaborate with machines to ship them. This shift demands new roles, faster iteration & different decision-making structures. PMs who understand how to lead these AI-native teams will outpace those stuck in traditional workflows. If you want to build faster, smarter, and more aligned with AI, this is the transformation needed

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 LL,M 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.

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