Free Lesson

Deploy AI Apps Using Azure AI Foundry & Claude Code

Hosted by Mahesh Yadav

Fri, Jul 17, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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

Connect Claude Code to Azure AI Foundry End to End

Set up the full integration between Claude Code and Azure AI Foundry so you can spec, build, & deploy from one workflow.

Spec and Build an AI Agent on Azure Infrastructure

Write an implementation spec that defines your agent's architecture, then use Claude Code to generate it on Azure.

Add Guardrails, Monitoring, and Eval to Your Agent

Layer in Azure-native observability and safety checks so your agent is production-grade, not just a prototype.

Deploy a Working Agent You Can Demo in Interviews

Walk away with a live agent running on Azure infrastructure that proves you can build across the full AI stack.

Why this topic matters

Most AI PM candidates know one tool. Hiring managers want people who can build across platforms. Azure AI Foundry is where enterprises deploy. Claude Code is how builders ship fast. Knowing how to wire them together puts you in a category most candidates can't reach: someone who specs, builds, and deploys AI agents on real infrastructure. This session gives you that stack & a project to prove it.

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
Microsoft
Meta
Amazon Web Services
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