Staging environment

Intro to Agentic AI – Build Your First AI Agent

Hosted by Mahesh Yadav

845 students

What you'll learn

AI vs ML vs GenAI vs Agentic AI

Understand the evolution from static models to autonomous, decision-making AI agents.

Core Components of AI Agents

Explore the building blocks that enable AI agents to perceive, decide, and act efficiently.

Evaluation & Monitoring

Learn how to ensure AI agents remain accurate, reliable, and aligned with intended outcomes.

Future of AI Agents

Discover how AI agents will reshape trillion dollar industries, driving innovation and autonomous problem-solving.

Why this topic matters

Agentic AI represents the next evolution in artificial intelligence, shifting from static models to dynamic, decision-making agents capable of solving complex, real-world problems autonomously. This topic matters because it highlights the practical applications of AI agents, from personalized assistants to systems that transform industries like healthcare, finance, and technology.

You'll learn from

Mahesh Yadav

Ex- GenAI Product Lead at MAANG Level Firms l AI PM Coach

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

Amazon Web Services
Meta
Microsoft
Google

Go deeper with a course

Master Agentic AI PM with MAANG product leader
Mahesh Yadav
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