Leadership in the AI Era

Context Engineering for Product Managers

Hosted by Mahesh Yadav

1,301 students

What you'll learn

Understand what is context engineering

Learn how providing the right context transforms LLM outputs from generic to game-changing.

Setup context-specific requirements with real examples

Practice designing prompts and input flows tailored to real-world AI product use cases.

Test contexts & impacts using No-Code Agent Tools

Experiment live with no-code AI tools to witness how different context strategies directly influence agent behavior.

Why this topic matters

Context engineering is crucial because it determines how well AI agents understand, respond, and adapt to tasks. Without the right context, even advanced LLMs can fail to deliver relevant or safe outputs. It helps align AI behavior with product goals and user needs. Mastering it gives PMs a powerful edge in building effective GenAI products.

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.

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
Meta
Microsoft
Amazon Web Services
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