AI PM Certification: From Specs & Evals to Leadership Sign-off

Gayathri Keerthana (GK)

ex-Amazon Sr. PM, running 3 ventures

Jason P. Yoong

Co-Founder, Level Up; $1B+ P&L; led 40+

This course is popular

5 people enrolled last week.

Raise the bar for your AI PM workflows. Live on Claude Code.

Most PMs are wondering "how to stay relevant in the AI-PM race."

This is what we learned from over 15,000 product professionals who signed up for our Lightning Lesson.

The real question for 2026 is how to go beyond PRDs and get closer to your leadership and engg teams.

The answer is not prompt hacks or Claude tips, because they're not strategic enough to make your work look any different from the next PM's.

In this 5h workshop, we teach how to produce AI PM artifacts using first principles:

🔁 Working Backwards from customer problem to a product spec that engineering can directly build from. Then encode it into your CLAUDE.md so that your AI is context aware every session.

🔍 Deep dive orchestrators that navigate fuzzy data and find real root causes. You save the day and present it right.

📐Bar Raiser workflows that raise the quality of every AI output, from product specs to QBRs.

🎯Agents that use the "8-persuasion factors", before any leadership review.

We have seen these principles help scale startups and billion dollar orgs. We see what AI-enabled products are missing today.

We will show you how to encode them in artifacts and agents using Claude Code.

Workshop agenda

1:00PM EDT
Build a real product spec and CLAUDE.md from Working Backwards approach
We take a real world use case and vibe code a spec that engg will actually use and build a master context file that gives Claude everything it must know.

2:00PM EDT
Build your Deep Dive Orchestrator
A Root Cause Analysis assistant that surfaces root cause in 30 minutes for any business problem. Learn how to use the 5-Whys mechanism for every diagnostic you run.

3:00PM EDT
Encode the Bar Raiser in your workflows
Instead of asking AI to "make this output better", embed a Bar Raise using an evaluator optimizer. Works before generating any AI output.

4:00PM EDT
Draft high-quality briefs that help you stand out
Learn about the 8 factors leadership weighs. Use them while vibe-coding PRDs, leadership briefs or QBR docs before presenting.

5:00PM EDT
1hour live Q&A, a practical exercises and pre/post course work
We want to see what we teach works for your real-problem. We'll prep you with a short pre-course work and a take-home exercise. We'll also run our very engaging Q&A (see our Lightning Lesson above)

What you’ll learn

Raise your bar as an AI-native product leader

You stop watching engineering sprint ahead of you. You give them something they can actually test against.
Your AI output and its quality earn you the trust in the room

You'll leave with a Bar Raiser rubric calibrated to your domain, applied across your workflows and agents.
Walk into any review having already answered the hard questions.

You open a new chat. Claude already knows your goals, customers, constraints and more.
You don't start from scratch or burn through tokens.

Understand how AI is best suited for problem solving & guide it using the 5-Whys approach.
You don't shift blame on teams. You save the day and present it the right way.

When the next model drops, you don't start over. You already know the techniques behind each framework and how to improvise them.
Walk away with a clear understanding of how to map first principles to LLM techniques

Learn directly from Gayathri & Jason

Gayathri Keerthana (GK)

Contact

Product & AI Consultant, ex-Amazon Sr PM (ML), running 3 ventures

Jason P. Yoong

Contact

Co-Founder & COO at Level Up (fmr Amazon, VP at Dentsu, Startup - $8M seed)

Leader / Adviser at

See all products from Level

Who this workshop is for

Product People - anybody who wears the Product hat (not just PMs), want to raise their technical and quality bar.
3–10 years in product or engineering; at least 2 years shipping features for a real customer base
Mid-size, scale-up, or enterprise with an active AI product roadmap

Prerequisites

Claude Code or Cursor installed on your computer
Every session runs inside Claude. Install Claude Code or Cursor before Session 1. A paid plan (Claude Pro/Max or Cursor Pro) is required.
Example product docs, problems, and data you can work with
You'll build artifacts from your own context. Leadership reviews, problem scenarios, specs, planning docs, or a Notion/Drive export.

What's included

Live sessions

Learn directly from Gayathri Keerthana (GK) & Jason P. Yoong in a real-time, interactive format.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Hands-on project

Take home assignment and closing the loop on live Q&A sessions

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Free resource

Raise Your Technical Bar as an AI-Native PM (63min Lightning Lesson)

What you'll learn

What "becoming technical" means. You must write structured logic engineers can test against
Live demo of a system.md that translates a PRD. Show how the AI thinks, using the Working Backwards approach
evals.md created with multi-dimensional thresholds. With binary criteria, through a Bar Raiser's lens
Q&A (we answered a lot of questions)

Testimonials

GK was excellent to work with. She supported us across AI workshops and AI course tutoring, and consistently delivered high-quality, well-structured materials and outputs. Communication was clear and proactive, and she genuinely cared about achieving strong outcomes, not just “completing tasks.” She also interacted brilliantly with students and workshop participants: engaging, supportive, and very clear in explanations and facilitation. Everything was delivered on time, with strong attention to detail, and she stayed flexible and responsive as priorities and timelines evolved[...]she’s thoughtful, reliable, and simply a great person to collaborate with. I strongly recommend her for training delivery/support and for helping early-stage startups, especially across AI, marketing, and product
Vitaly
Director at Aon STG | AI & Digital Strategy | Venture Builder
I watched all 21 sessions in the Maven/Lenny Rachitsky "AI-Native Product Manager" Lightning Lesson series.
Most "AI for PMs" content sticks to the obvious: one-shot PRDs, prototyping, market research. Useful, but usually surface-level. What I'm after is how AI fits into the mess. The work that looks different at every company and for every PM.

𝟭. 𝗥𝗮𝗶𝘀𝗲 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗕𝗮𝗿 𝗮𝘀 𝗮𝗻 𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗣𝗠 (Gayathri Keerthana Shanmuga Sundaram, Jason P. Yoong)
The best session of all 21. Gayathri goes through fine-tuning a support chatbot agent for Air Canada, focusing on a specific policy area, to keep the evals demo consumable and nuanced. Smart move. Talks about how to use the eval results and how to work with developers on it [...]
Guy Peled
Product Manager
We were seeking a product owner [...] to help us understand how the ML model can be leveraged to solve concrete business problems and surface actionable insights for business users. This is where Gayathri shone. She laid out and executed a strategy for business application… with simple and easy-to-understand language and used relatable examples… Gayathri's contributions have not only advanced the team's understanding of customer behavior but have also set new benchmarks for how we leverage machine learning in business.
Michael
Principal Applied Scientist
I have not come across many such product leaders in my 14 years of experience in tech and product management, including a decade at Amazon… That's when I witnessed that she has the acumen to integrate different methodologies into a cohesive strategy… She consistently pushed the operations teams to look beyond immediate hurdles and focus on broader customer behavior trends… Her entrepreneurial spirit, customer obsession, and innovative problem-solving skills will undoubtedly enable her...
Sarah
Principal PMT (Applied Sciences / ML )