Staging environment
Free Lesson

Claude Context Engineering Explained & Knowledge Graphs

Hosted by Mahesh Yadav

854 students

In this video

What you'll learn

How Claude Builds Context in Production

Learn RAG, File system and sub-agent for context in Claude

Build Context With a Knowledge Graph

Give your agent context using a knowledge graph instead of stuffing more files in prompts.

Observe and Improve Context Management in AI Agents

Identify what makes an AI product defensible, and how to measure your agents context.

Why this topic matters

Anyone can copy a prompt. A knowledge graph baked into your product is harder to clone in a weekend. This session breaks down the real difference between RAG and Agentic RAG, then shows what it actually takes to turn context into a defensible moat instead of a demo.

You'll learn from

Mahesh Yadav

Ex AI Product Lead - Google l Meta l Microsoft l AWS | 10k+ Alums

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

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Master Agentic AI for PMs with Official Anthropic Claude Certifications
Mahesh Yadav
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