Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

Fresh ways of working, fresh conversations to have with teams, and using AI in accurate, helpful ways.

The Mary Poppins of CX/UX ☂️

The Stepstone Group

Macy's

Arizona State University

Debbie Levitt, MBA, CPIC, ACC

Product, Service, & Experience Strategist, Researcher, Service Designer

AI & Research - Cohort 01

It’s not product-shareholder fit, product-executive fit, product-lowest-budget-fit, or product-deadline fit. It’s also not product-market-good-enough or product-market-we’ll-fix-it-later. In decades of consulting and strategy work, leaders and execs have never asked me to help them fail more or fail faster. They want me to find and solve problems, identify and mitigate risk, make teams more efficient, and make products and services more successful.We waste time and money trying to solve problems we don't understand for target markets we don't understand.Light on slides, heavy on action! 18 hours of live instruction + 4 hours of live Q&amp;A/AMA. Can't make it live or would rather watch videos? All live lessons will be recorded and made available to cohort members.Continued support in our free Discord community.<a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/document/d/1MeLgmpVvu8xacYDkMiYzMLXAKDws0aNuoux0zPCg1Cc/edit?usp=sharing">View the detailed syllabus/course plan (Google Doc).</a>Great for tech and corporate workers and leaders, startup founders, and freelancers. Definitely for Researchers wanting to add AI thoughtfully to their process.Join this course's next free <a target="_blank" rel="noopener noreferrer nofollow" href="https://atomicpmf.com/lightning">Lightning Lesson</a>!

Practical techniques to improve work quality, efficiency, and strategy.

PMF exists on three levels. You're probably losing customers at the micro level.

Atomic PMF model and process are flexible frameworks that fits every project.

Whether work is done by humans, AI, or both, we have to satisfy customers.

Use AI as a critical thinking partner in the Atomic PMF process.

The course welcomes everybody at every level. New to tech work, a new startup founder, or been doing this for decades? You belong here.

None! No gatekeeping. 😊

You're under pressure to use AI but have no idea where it helps vs. where it sucks. You want to learn practical techniques, not theory.

You're tired of high failure rates and vibe producting. Learn why products fail and how to find (and keep) product-market fit.

You're a PM, Founder, Researcher, Designer, or Strategist drowning in guesses and assumptions. Put "strategy" back in "product strategy."

How to build a system that handles the work you shouldn't be doing and sharpens the work only you can do.

Cohort 2

Head of Product | AI for non-tech users

Booking.com

DeepL

ABOUT YOU

Zalando

TikTok

Myles Sutholt

Head of Product who uses the system he teaches every day with his team.

Cohort 1

Cohort 3

You already use AI. You probably think it is going well.When researchers measured experienced professionals using AI on real tasks, they were 19% slower. They believed they were 20% faster. (METR, 2025)"I thought I was already using AI well. Turns out I was just using it often." — Wole, Product DesignerThe gap is not your skills. It is what AI knows about your work before you start. Your projects, priorities, stakeholders, what "good" looks like. Without that, every session starts from zero.This course builds two things. First: a system that handles the recurring work and frees up roughly half a day a week. Second: AI advisors modeled on your real stakeholders that challenge your documents, prepare you for meetings, and catch what you missed."A system I use every single day. One that has increased the quality of my work immensely." — Renata, Product OwnerLimited to 20 students. Personal feedback on every submission.

Stop doing work your AI should do. Delegate, systematize, and scale yourself.

Your AI Already Knows Your Work

Automate the Work That Drains Your Week

AI Advisors That Challenge Your Thinking

Output That Is Visibly Better

A System That Compounds

No Coding Required

You already use ChatGPT, Claude, or similar tools regularly. Not just tried once. You have AI habits you want to build on.

Use AI (like ChatGPT or Cursor) regularly (not just tried once)

You need to install tools like Claude Code or Cursor. Some company laptops block this. If you are unsure, check with your IT team.

Can install software 

You will see code you did not write. AI writes it. You describe what you want in plain English. We walk you through every step.

Willing to try things that feel unfamiliar at first

You get decent output but re-explain context every session. You want AI that knows your work and challenges your thinking.

PMs, designers, engineers, data professionals. The title matters less than the work: multiple projects, documents, decisions across teams.

You want to walk into meetings having already stress-tested your arguments. You want documents that survive the first round of review.

Build robust LLM-powered apps, chatbots, and agents. Learn by writing real code, one line at a time.

CEO @ Actualize

Jay Wengrow

Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering

Do you have a grasp of basic LLM principles but struggle to put it all into code? Tired of scattered documentation, outdated tutorials, and frameworks that impress in demos but collapse in production?You’re not alone. Building with large language models doesn’t have to be confusing - it can be clear, structured, and deeply rewarding.In this course, you’ll build real LLM-powered apps, one line of code at a time. You'll see how an app is built from scratch in real time, and follow along. Along the way, you'll discover not only how to implement these systems, but the why behind each line of code.From chatbots to agents and RAG to evals, you’ll learn the core concepts of building atop LLMs. More importantly, you’ll get how LLMs “think” - allowing you to guide them to do what you want despite their nondeterministic nature. Additionally, you’ll be able to balance quality, latency, and cost, making big-picture decisions about AI-powered app architecture.AI engineering isn’t just another branch of software development - it’s a different mindset altogether.

Gain hands-on AI Engineering proficiency by writing real code

Gain real-world intuition for working with LLMs

Reliably guide LLMs instead of getting unpredictable results.

Build retrieval-augmented assistants that can access proprietary knowledge

Use evals to systematically optimize your LLM app’s performance over time

Assemble agents that act upon the real world

This course is designed for current software engineers who will use Python  to build LLM-powered apps. We won't teach basic coding here.

Software Engineering

We'll be using Python, but we'll keep it simple in case you're more familiar with other coding languages.

Note about Python

If you want an inside look at what's involved with building AI apps but don't plan on coding yourself, you'll still follow what's going on.

Exception: Product Managers

Software engineers who want to build LLM-powered chatbots and agents, or break into AI engineering more generally

Data Scientists/Engineers who want to build their own LLM-powered apps

Product Managers who want to understand AI engineering from the coding perspective

Walk away with the core skills, tools, and support you need to operate like a modern PM

Cohort 23rd March 2026

20+ YoE | 8+ Yrs Teaching | 5K Students 

Linktree

Kajabi

Expedia Group

Harvard University

Melbourne Business School

David Wang (Product Dave)

Global Product Leader with 20+ Years of Experience from Hyper-Growth Companies

This cohort is designed for students who are based in Australia and the US West Coast timezones

Cohort 12PM AEST / 7PM PST 

Cohort 3 May 2026

Who’s this for?This course is for people trying to break into product management, unofficial PMs already doing the work without the title, and new PMs who want stronger foundations.Each cohort is capped at 12 motivated learners. Not a 500-person course where you're lost in the noise. Weekly live workshops and direct feedback. That's how you learn.- Why this course?AI has made building and execution easier. But speed is not judgement. Most courses teach prompts without teaching the PM foundations that matter in interviews and on the job. This course gives you both.You’ll learn how to think like a PM, break down customer and business problems, define personas and JTBD, connect ideas to metrics, structure AI-assisted PRDs, prioritise work, and influence without authority.-What you'll get:<ul><li>Certification from Product Academy</li><li>Weekly live workshops so you build real skills fast</li><li>1:1 coaching on insider knowledge on hiring PMs</li><li>A complete Miro board of PM tools — market dynamics, customer segmentation, feature maps, prioritisation, roadmapping, etc</li><li>AI prompt library to speed up every step of product work</li><li>Career Happiness Refund: If you're not happy, you'll get 100% refund anytime in your career.</li></ul>

Decide What To Build, Get Customers, and Drive Outcomes with AI PM Skills

Master the foundations of Product Thinking in the age of AI

Ground Product Decisions in Business and Customer Needs with AI Tools

Influence Executives with Data-Driven Prioritization and Planning

Build Working AI Product with Clear Product Requirements

Measure the Success of Your Product using Clear Metrics

Product thinking needs real workplace judgement. This course promotes learning from each other's real-life experiences. 

Must be a Mid-Career Professional | 4+ Years of WORKING experience

We use real examples from tech companies and tech products; otherwise, you'll get lost in the concepts.

Must work in tech or tech-related products

Unofficial PMs - Engineers, Designers, Program Managers, BAs, and SalesFolks who touches product work and wants to define WHAT to build

New or Aspiring PMsPeople moving into PM who want practical product thinking, AI workflows, and a real project to show their ability.

PMs who needs to stay relevant in the AI eraCurrent PMs who want to remove low-level work and use AI to operate with more impact.

"Despite being a student in Harvard’s Master’s in Data Science program, I've struggled to understand the concepts that make LLMs so impressive. This class gave me the answers." - Tony "Ishan takes a black box, rips it apart to understandable compartments, and clearly communicates what is going on. Highly recommend." - Joe, CFO ______________________________________________________________________ The current cohort completed recording on January 17th, 2025 but you can still enroll to participate asynchronously: •&nbsp;Get lifetime access to all recorded sessions, including interactive Q&amp;A segments•&nbsp;Connect with peers in our dedicated private Discord community•&nbsp;Master the material through comprehensive quizzes and training resources•&nbsp;Receive direct instructor support via email or Discord whenever you need help•&nbsp;The option to attend a future live cohort for free______________________________________________________________________ Why This Course Stands Out: You already know how vital AI is to your career—it's in every conversation, project, and strategy session. But diving into AI feels daunting with limited time for self-study or complex programming. That’s where this course comes in. Skip the endless prep work and gain an intuitive, hands-on understanding of AI and transformers in just a few hours—without needing an advanced degree. No other course offers such an interactive, fast, and in-depth technical understanding of AI using an actual GPT-2 model, all using an easy-to-learn spreadsheet interface. ______________________________________________________________________ Perfect for Busy STEM Professionals:Whether you're a developer, technical manager, or executive, this course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. It’s ideal for: • Software/Web Developers seeking an easy introduction to machine learning. • Science &amp; Tech Professionals navigating AI transformations in their fields. • Technical Sales/Marketing crafting messaging for AI products. • Product/Project Managers overseeing LLM-powered solutions. • Executives/Leaders guiding AI strategy in their organizations. ______________________________________________________________________ What You’ll Learn:Using a unique spreadsheet implementation of GPT-2 (the predecessor to ChatGPT), we’ll break down each model component with crystal-clear explanations. In just a few sessions, you’ll be able to: • Understand how LLMs work—as quickly as possible. • Explain every key component—tokenization, embeddings, attention, and more. • Gain AI literacy—so you can confidently lead and manage AI-driven teams. • Build a foundation for further AI projects—and even more advanced learning. ______________________________________________________________________ Why Spreadsheets?You don’t need to be a coder or a calculus expert to understand AI—just the right approach. This course uses an innovative, no-code, spreadsheet-based method to teach LLMs. It's fast, interactive, and designed for busy professionals like you. By breaking down complex AI principles into easy-to-follow spreadsheet exercises, you’ll gain a lasting, foundational understanding of how large language models work. This is knowledge you can carry across into any model, any programming language, and any project. ______________________________________________________________________ Hands-On Learning, No Programming Required: By the end of the course, you’ll have a working, detailed understanding of how transformers power LLMs like ChatGPT, Claude, and Llama. Plus, you'll have a spreadsheet tool you can explore and tweak to deepen your understanding further. ______________________________________________________________________ See it for Yourself: Still unsure? Watch the FREE lightning lesson:"Inside the Brain of an LLM: How it Works in 30 Minutes" to see how accessible AI learning can be: https://maven.com/p/eeea6f/inside-the-brain-of-an-llm-how-it-works-in-30-minutes ______________________________________________________________________ Join the Community of Learners: • “I could’ve read 20 papers on this and not gotten nearly the understanding I got from this hands-on course.”— Class Participant from Adobe • “Highly recommend this course for anyone wanting to build a foundation in LLMs. Ishan’s interactive approach makes complex concepts incredibly clear.”— Matt, Business Intelligence Analyst ______________________________________________________________________ Practical Details: • Course Access: All sessions are recorded and available to stream after the course concludes, so you’ll never miss a thing.• Reimbursement: Your company may cover this course if you're building or transitioning into AI at work. ______________________________________________________________________ New for this cohort! We've dropped the requirement for Excel. We have a browser based alternative. Some exercises may use Google Sheets and/or Python.

Skip the mountains of prep work and learn how AI works in just a few hours

Course syllabus

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

Course schedule

Executives, engineering managers, and product managers leading and coordinating technical AI teams leveraging LLMs

Developers without formal training in machine learning that want to quickly understand the LLM technology in their projects

A gentle introduction to LLMs for professionals pivoting their career to AI from traditional software engineering or other STEM fields

Anyone who can read a spreadsheet that is motivated and deeply interested in how the next wave of computing works

Who is this course for

What you’ll get out of this course

This course breaks down complex AI concepts into easy-to-follow steps using Excel, making it accessible for anyone with a STEM background.

Understand how LLMs work as quickly as possible

Precisely understand in detail the architecture and function of the GPT2 model, including tokenization, embeddings, attention, multi-layer perceptron, and layernorm.

Recognize and explain every component of an LLM

You'll gain a solid understanding of how LLMs function, enabling you to confidently engage with engineers and technical stakeholders.

AI Literacy for managing technical teams

Build a foundation that equips you with the essential knowledge to explore advanced AI topics, undertake AI projects, or pursue further coursework.

Prepare yourself for further exploration, projects, or coursework in artificial intelligence

Master AI Concepts with a Real LLM Implemented Entirely in a Spreadsheet. No Complex Math. Just Clarity. 

Jan 8—17, 2025 (On-demand)

Ishan Anand

Unlock a personalized learning experience.  Dates and times will be customized to the participant.

1-on-1 Premium Version 

Learn how to use AI to accelerate customer discovery, validate solutions, and make better product decisions, without leaving your desk

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Google

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible.Unfortunately, most AI courses for PMs focus on how to build AI-powered features. But PMs can benefit from AI practices regardless of the type of product they are building. This is the focus of this course: helping PMs expand the daily practice of product management and giving PMs super powers.Over two weeks, you’ll learn—by doing—how to use AI to accelerate discovery, synthesize insights, explore solutions, and support decisions, while understanding where AI helps and where it can mislead. This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2 weeks (short, intensive, focused) + Graduation Demo dayFormat: Instructor-led cohort with 2 sessions per week (see schedule below)Between sessions: Hands-on individual assignments (to build the practical muscles)

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Build repeatable AI-augmented workflows you can reuse in real product work

Understand when AI can accelerate insights

Expand solution space and prototype quickly with AI

Product Managers, Product Owners, Product Leaders, and entire product teams. Startup founders and product designers.

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

This course is not a beginner tutorial on ChatGPT. It's a deep-dive on how to use AI tools in product work.

Working with LLMs

Cohort-based courses

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