AI Lead-built early Agents @Google, Meta

Google

Amazon Web Services

Microsoft

Mahesh Yadav 

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

3 Weeks to Your First AI PM Role: A No-BS Roadmap

Mahesh Yadav

Ex-AI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni

Build an AI-ready narrative across your CV, case study, & portfolio to break in before the hiring wave peaks.

How to Ride the 2026 AI Hiring Surge

Get frameworks that top companies test in AI interviews - systems thinking, agent reasoning, metrics design & tradeoffs.

Frameworks for Cracking AI PM Interviews

Build the customized 3 week map using Claude Code

Build Your First AI Product Using Claude Code

Get a plan to build AI fluency, ship a working agent & walk away with real proof of work that recruiters actually notice

3-Week Roadmap: Building Your Foundation for AI Roles

Build a working AI system connected to your real PM tools - research, prototypes, evals, and automation in 4 weeks.

20 years in product. 200+ PMs coached.

Indeed

Bazaarvoice

Will Lowrey

 20 years in product leadership. Indeed, Bazaarvoice, startups. 200+ PMs coached

Founding Cohort

Cohort 2

Every PM has tried AI by now. Most stopped with chatbots.You've pasted in a PRD. Maybe you even ran a competitive analysis once. But none of it stuck. You don't have anything connected to your actual tools. It's better than before, but still clunky. The gap isn't knowledge. It's that nobody taught you how to build it - and the LinkedIn posts and tiktok videos are just one video after another of what could be. You've got to take it from reading/watching to DOING.Week 1: Run a competitive analysis in 20 minutes that used to take half a day. Build a reusable skill so the next one takes &lt;3 minutes.Week 2: Learn what evals are and why they're the skill that separates AI tinkering from AI building. Build a practice set that tells you whether any AI output is good enough to ship.Week 3: Wire Claude into your actual stack - Slack, Linear, GitHub, Google Docs. Build a clickable prototype from a PRD and test your skills on live data instead of copy-pasting.Week 4: Chain it all into a PM operating system that runs on a schedule.We start from zero. Pre-work covers the terminal, prompting, and your first skill before the first session.You don't leave with notes. You leave with a working system.

Build AI workflows connected to your real tools, tested on your real work.

Do PM research in 20 minutes that used to take half a day.

Learn to Eval AI output - not just doing a vibe-check

Connect Claude to your tools and build a working prototype

Build workflows that run on a schedule

Start from zero. No coding experience needed.

Learn by doing your actual job, not case studies.

If you believe that AI is a fad and is going away, this isn't for you. We are building for the future of product work.

This course is NOT FOR everyone

If you're in product, TPM, design, or engineering and want to bulid AI into your actual workflow, this is the right place.

This IS for Product and adjacent roles like TPM, Design, Engineering

You don't need to be perfect. You need to be willing to build, test, and iterate. That's the whole course.

Are You Ready To Try, Fail, Learn, and then Try Again?

The PM who tried AI and hit a wall. You've used some of the chats, but nothing has stuck. You need a system, not another prompt trick.

Senior PM drowning in recurring work. Same competitive updates, same briefs, same summaries every week. You need those hours back!

The Team Lead who wants to model what's next. Your team is watching. Master AI workflows yourself first, then bring the approach to your org

You figure out what kind of career you actually want. Then you build the work to show for it.  This is what getting hired in 2026 looks like

Medical Student to Prisoner to CEO.

Sobanan Narenthiran

Medical student. Prisoner. CEO. The most unconventional hire you'll ever meet.

Human Rights Law to Marketing (somehow)

Jasmine Hasmatali

Applied to 50+ jobs in 8 months. Kept knocking on doors till one opened.

Biology + Curiosity = Videographer?

Sarrujan Jayakumaran

Bio major turned creative director. Followed curiosity rather than tradition.

Master's in AI, she knows what's up.

Amira Al-Shabazz

Chief of Staff at 24. Knows that feeling ready is overrated. Permission? Nope.

June 2026

Graduate hiring in 2026 looks nothing like it did two years ago. Employers are redesigning assessments, watching for AI-polished answers, and rejecting candidates who can't explain their own work.At the same time, they still want people who can use AI well.The people getting hired right now aren't the ones with the best AI prompts. They're the ones with real skills, real taste, and real proof of their work.This course is built around that shift. You'll cover the things graduate programmes and university careers services mostly aren't teaching yet: how to build a career AI can't replace, how to actually use AI tools well, why taste is becoming the word of 2026, how to tell a story about your work that lands, and how to stop waiting for permission and start making things happen.You'll build the thing almost no one else applying alongside you will have: proof.Proof of what you can do without AI.Proof of how you use it when you do.Leave with something most graduates don't have yet: a clear, defensible story about how you work in an AI era. That's the thing that's getting people hired right now.

Build a career AI can't replace.

Figure out what kind of career you actually want and which path gets you there

Understand the shift you are living through, not just the tools in front of you

Develop the taste and judgement that employers are now screening for

See the full range of routes into work, not just the traditional ones

Final-year or recent grad chasing a scheme. Using AI daily. Worried your applications sound like everyone else's.&nbsp;

Graduated a while ago, stuck in a "just for now" job, and ready to move. You need evidence, not another CV template.&nbsp;

You're not chasing a scheme. You want to build, create, freelance, or carve a path the old careers service can't map.

Gain the skills to think strategically, lead confidently, and transform from task‑focused PM to an impactful, outcome‑driven product leader.

Director of AI 

Pepsi

Intel

Swarovski

Jukin Media

Dalibor Jovic

Developer‑turned‑AI director with 20 years and 200+ shipped software projects.

Leadership & Product Excellence Coach

Schlumberger

Odfjell

Tryg

TV 2

Hussam Ahmad

Product leader focused on strategy, execution, and human‑centric leadership

May 26

June 26

AI is no longer optional in product work.Stakeholders ask for AI features.Executives talk about “AI strategy.”Customers expect smarter products.And PMs are stuck in the middle, expected to lead AI decisions without clear guidance, shared language, or proven patterns.Many PMs are asking:<ul><li>Where does AI actually create value?</li><li>How do I avoid chasing AI hype or shipping gimmicks?</li><li>How do I design AI features users trust?</li><li>How do I turn vague AI ideas into real roadmaps?</li></ul>AI features will ship—with or without you having clarity.What PMs Must Know About AI exists to answer those questions, practically, clearly. It is not a technical AI course. It is a product leadership course for the AI era, focused on the decisions PMs are now responsible for:<ul><li>Identifying high‑impact AI opportunities</li><li>Designing AI user experiences that work in the real world</li><li>Making confident trade‑offs when AI is uncertain</li><li>Translating AI ideas into roadmaps, outcomes, and OKRs</li><li>Leading AI discussions without hype or fear</li></ul>You’ll use a simple model called ALPHA™ (explained later) to learn how to think and act like an AI‑ready product leaderThis course is built directly from the questions PMs asked in our most popular Lightning Lessons.

Stop guessing where AI belongs in your product.

Lead AI‑shaped Product Work End‑to‑End

Turn vague “AI strategy” into decisions your team can act on

Make Customer‑Driven (AI‑Savvy) Decisions

Become an AI‑Ready Product Leader

and feel some pressure to “have a plan” for AI—even if that plan is unclear right now.

You should already work on a digital product (B2B or B2C) 

You want an intro to AI/ML or hands‑on coding, don’t currently work on a product with real users
or looking for a purely technical AI course

Not a fit  if:

<ul><li>You’re a PM or Senior PM expected to contribute to AI decisions</li><li>You’re stepping into a Lead or Principal Product role</li></ul>

<ul><li>You're a project managers transitioning to product</li><li>You're a startup founder shaping your first product function</li></ul>

<ul><li>You feel pressure to “have an AI plan,” but want clarity—not buzzwords</li></ul>

Be the PM who ships fast and doesn't produce slop.

Staff PM @ Meta | Wharton | Builder

Electronic Arts

Scher Rafay

Staff PM @ Meta | Ship AI to 1.7B DAU | Wharton

August '26 Cohort

<blockquote>You wrote the spec four weeks ago. Your engineer "kind of" built it. Your skip-level wants a quick sync. It's now Tuesday and you're still six alignment meetings away from shipping.You've tried the obvious moves to use AI. But the work takes the same time. Becoming an AI-Native PM, and actually seeing the benefits, requires you to rethink the process.This workshop teaches the PM job differently:<ul><li>Write a PRD in 10 minutes, sometimes after you've already built the prototype</li><li>Synthesize 30 user interviews in an afternoon</li><li>Generate 20 UX variations of an idea, and pick one with conviction</li><li>Design evals without an ML team holding your hand</li><li>Simulate your exec team's objections before the review, not in the room</li><li>Build prototypes when writing a spec is slower than building</li><li>Avoid AI tells in your work so it reads as yours</li></ul>Generate fast with AI, judge well, ship work that's good. Speed is the upgrade. Taste is still your job.Bigger payoff: shorter days, agents handling what you hate, more time on the work that drew you to product management.I built this workflow at Meta and taught dozens of PM workshops internally. This isn't another "become an AI PM" course. This teaches you the job, better, with AI.</blockquote>

Move from spec-and-wait to ship-and-iterate, with AI doing the heavy lifting and your taste running the show. 

Diagnose where AI fits in your PM workflow, and where it doesn't

Write PRDs in 10 minutes (sometimes after the prototype)

Synthesize research and generate variations without losing a weekend

Simulate exec reviews and XFN pushback before the meeting, not in the room

Build your own prototype when writing a spec is slower than building

Ship AI work that reads as yours. Avoid the tells, keep the speed and your voice

PMs who feel slow watching indie builders ship with AI on weekends, and want to compress cycles without losing their taste.

<blockquote>PMs at startups whose teams are going AI-native, and need to model what good AI-native PM work looks like.</blockquote>

<blockquote>PMs who don't build themselves anymore, but need to spot the difference between good AI-native work and slop.</blockquote>

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

The Importance of Cultural Fit in AI Companies

Speaker's Introduction and Background

Agenda: Breaking Down the AI Interview Process

Analyzing the Latest AI Job Market Trends

What Companies Are Looking For in AI Candidates

The Essential Skillset for an AI Product Manager

Defining and Demonstrating Proof of Work

Examples of High-Impact AI Projects

What to Expect in an AI Product Manager Interview

A Three-Week Roadmap for Interview Preparation

Common Mistakes to Avoid in Your AI Job Search

Next Steps and Course Information

Summary and Additional Resources

Product managers who drive strategy, development, and launch of products.

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Getting promoted, navigating job transitions, and advancing to the next level in your career.

Developing leadership skills — inspiring teams, building culture, navigating organizational complexity, and driving results through others.

3 Weeks to Your First AI PM Role: A No-BS Roadmap

What you'll learn

Why this topic matters

You'll learn from

Mahesh Yadav