Build Your Next Product With Multi-Agent AI

Hosted by Mahesh Yadav

749 students

What you'll learn

Need for Multi-Agents vs Single Agents

Multi-agents enable complex, collaborative AI workflows that single agents can’t handle effectively.

Landscape ( Crew.ai, Vertex, AWS Agents, etc.)

Explore leading multi-agent frameworks like Crew.ai, Vertex, and AWS Agents, shaping the next wave of AI innovation.

Evaluating Agents vs Chatbots

Understand how agents go beyond chatbots by offering autonomy, collaboration, and advanced decision-making.

Why this topic matters

The future of AI lies in systems that can operate autonomously, collaborate effectively, and deliver scalable solutions. Multi-agent frameworks offer this next-level capability, empowering Product Managers to design smarter, more efficient workflows. As industries demand more from AI, understanding these frameworks is crucial for staying competitive.

You'll learn from

Mahesh Yadav

GenAI Product Lead at Google, Ex-Meta, Ex-Amazon & Ex-Microsoft l AI PM Mentor

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 GenAI 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 GenAI PM.

Worked with

Google
Meta
Microsoft
Amazon Web Services
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