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Learn Claude-Powered Agentic AI System Design 2.0

Hosted by Mahesh Yadav

Fri, Aug 28, 2026

4:00 PM UTC (45 minutes)

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Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
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What you'll learn

Understand the Four-Layer Agentic AI Architecture

Learn the core + tools + guardrails + observability layers that separate production agents from prototypes.

Build Claude-Powered Agents That Scale

Design and implement agents using Claude as the reasoning engine with proper tool access, safety, & cost optimization.

Design Hierarchies: From Single Agents to Systems

Architect multi-agent hierarchies with routing, specialization, and approval chains for complex business workflows.

Optimize Cost & Performance for Production Agentic AI

Implement caching, batching, and model selection strategies to reduce cost-per-action by 10x while maintaining quality.

Why this topic matters

By mid-2026, agentic AI shifted from chatbots to autonomous systems. Companies automating workflows with Claude-powered agents saved millions while competitors stalled. Engineers who mastered 2.0 architecture commanded premium salaries ($250K+). The gap between systems that work and those that fail is architecture. Learn the four-layer pattern that separates production agents from prototypes.

You'll learn from

Mahesh Yadav

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

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.

Previously at

Google
Amazon Web Services
Meta
Microsoft
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