Agentic AI Transformation
A custom cohort for the team building your organization’s AI layer – from foundation to production-ready systems.
4.9/5
459 reviews, 9 Cohort running
Mahesh Yadav
AI Product Leader · Built early agents in production · Founder, Agentic AI Institute
Years in AI
1+
1+
Alumni trained
10+
10+
AI Patents
0
0
AI cert on Maven
0#
0#
This cohort builds the team to deploy agentic systems – giving product, operations, and technology leaders the hands-on depth to architect, evaluate, and ship with confidence.
What your team builds
1
A working agentic system
Every participant ships something real. A research agent, an automated workflow, or a production-grade system with evals – built using Claude Code, OpenClaw, and Azure AI Foundry.
2
Technical fluency that holds up in the room
Spec agentic systems, evaluate vendor claims, and hold engineering teams accountable – grounded in six levels of progressive AI concepts, not slides.
3
A shared language across every function
Sales, operations, finance, and technology aligned on what agentic AI means in practice. Change management has derailed more AI transformations than technical failures ever have.
4
A framework for evaluating AI investments
Build vs. buy, KPIs, eval methodology, production readiness criteria. The decision-making toolkit your team needs to move fast without getting it wrong.
Program syllabus
Six weeks. Six live sessions. Three build labs. The curriculum follows a deliberate progression from conceptual grounding to production readiness.
Foundation
Phase 1
LLM and agent fundamentals
Agentic AI vs. GenAI
Context and prompt engineering
AI landscape in 2026
Lab: Claude Code setup and first AI copilot
Agentic Systems
Phase 2
Agent loops and long-horizon agents
Memory, MCP, tool calling
Agentic RAG vs. traditional RAG
Failure points and mitigation
Lab: Research agent that automates planning briefs
Prototyping
Phase 3
Claude Code for non-engineers
PRD to prototype
Build vs. buy framework
Security and cost in agentic systems
Lab: Build a personal AI assistant and automate a real workflow
Production & Strategy
Phase 4
KPIs and evals for AI agents
Guardrails and responsible AI
Azure AI Foundry deployment
AI moat and competitive positioning
Lab: Deploy a production agent with observability and evals
Demo Day
Capstone
Live agent demo
Portfolio artifact and decision
Lab: Deploy a production agent with observability and evals
How it runs
Hybrid. Live sessions with Mahesh are held over Zoom, 3 hours each. Async content is self-paced. All elements are adjustable to your team’s calendar and time zones.
Live sessions
3 hours each, taught by Mahesh on whiteboard with real examples from shipping agents at Google, Meta, and AWS.
Hands-on labs
Every lab ends with a working artifact. Not a tutorial. Participants build and keep their own systems.
Async lessons
3 hours each, taught by Mahesh on whiteboard with real examples from shipping agents at Google, Meta, and AWS.
What past participants say
“Top notch course for anyone truly wanting to get into Agentic PM. Not a vanilla course - a full deep dive to get you day 1 ready. Mahesh has really built the application and experiential learning with labs and office hours very well.”
Nitin Rathi
Product Portfolio Director, DELL
“I joined after already launching a GenAI product at work, thinking I had some understanding. The depth far exceeded my expectations - the kind of insight I might have picked up only after launching ten different products.”
Ioana-Rebeca Glitia
CPO, FINNX
“Mahesh has worked in AI chips, MLops, PyTorch, AI services and AI agents - just that makes it worthwhile. He guided me to where to apply and how to get in. I received an AI PM offer within weeks of completing.”
Brijesh Kundu
Principal Product Manager, SecurityScorecard
Mahesh is both incredibly knowledgeable and a fantastic teacher, I’m not only impressed with him in the context of other AI courses, but also relative to higher education programs I’ve been through Mahesh stands out. This course is fantastic.
Sam
Group Product Manager, RingCentral
Meet Your Instructor
Mahesh Yadav
AI Lead, Early Agents · Google, Meta, AWS · Founder, Agentic AI Institute
I've spent 20+ years building production AI systems at Google, Meta, AWS, and Microsoft - not teaching about them. I architected early agentic infrastructure, including an AWS Bedrock agent featured in Andy Jassy's CEO keynote, and hold 12 patents in AI training and computer vision. Portfolio companies don't need another certification. They need their leaders aligned on what matters: build vs. buy, production readiness, and where AI creates durable margin versus technical debt. I'm the highest-rated AI PM instructor on Maven, 4.8 across 459 reviews, now in my 9th cohort.
Years in AI
1+
1+
Alumni trained
10+
10+
AI Patents
0
0
AI cert on Maven
0#
0#
Companies our alumni work at