AI Agentic Product Growth with AI Feedback Loop

Lightning Lessons

Practical skills & tools to accelerate your career

AI Agentic Product Growth with AI Feedback Loop

Hosted by Mahesh Yadav

Sat, Mar 1, 2025

5:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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142 students

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Agentic AI Product management mastery

Mahesh Yadav

View syllabus

Sat, Mar 1, 2025

5:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

142 students

Invite your network

Go deeper with a course

Agentic AI Product management mastery

Mahesh Yadav

View syllabus

What you'll learn

How to Price Your AI Agent (Outcome vs. Usage)

Compare outcome-based pricing with usage-based pricing, & discover which model aligns best with your business objectives

Metrics to Track for AI Agent Growth

Dive into performance indicators such as user engagement, retention, and ROI to ensure your product's growth

Set Correct Expectations and Improve Growth with Quality

Gain insights into maintaining quality standards that support steady, reliable growth while meeting customer needs.

Q&A Session

Get your questions answered, and deepen your understanding of the session topics with real-world insights

Why this topic matters

This topic is crucial in today's rapidly evolving market. By tapping into continuous, real-time insights, you can refine your product, better serve your customers, and stay ahead of competitors. This approach helps you quickly identify opportunities for improvement, making your product more adaptive, efficient, and ultimately, more successful manner

You'll learn from

Mahesh Yadav

Gen AI product lead at Google, Former at Meta AI, AWS AI l 10k+ AI PM Students

Mahesh has 20 years of experience in building products at 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 in the Nvidia GTC conference, Microsoft Build, and Meta blogs.

His mentorship has helped various students in building Real time products & Career in Agentic AI PM space.

Previously at