🚨 JULY 21st IS IS OUR FINAL LIVE COHORT - (We have to get back to building AI applications!) - Enrolled students get LIFETIME ACCESS to all materials and recordings!🚨 Do you catch yourself asking any of the following questions while building AI applications? 1. How do I test applications when the outputs are stochastic and require subjective judgements? 2. If I change the prompt, how do I know I'm not breaking something else? 3. Where should I focus my engineering efforts? Do I need to test everything? 4. What if I have no data or customers, where do I start? 5. What metrics should I track? What tools should I use? Which models are best? 6. Can I automate testing and evaluation? If so, how do I trust it? If you aren't sure about the answers to these questions, this course is for you. This is a hands-on course for engineers and technical PMs. Ideal for those who are comfortable coding or vibe coding. ---WHAT TO EXPECT This course will provide you with hands-on experience. Get ready to sweat through exercises, code and data! We will meet two times a week for four weeks, with generous office hours (read below for course schedule). We will also hold office hours and host Discord community where you can communicate with us and each other. In return, you will be rewarded with skills that will set you apart from the competition by a wide margin. (see testimonials below). All sessions will be recorded and available to students asynchronously.--- COURSE CONTENT Lesson 1: Fundamentals &amp; Lifecycle LLM Application Evaluation- Why evaluation matters for LLM applications - business impact and risk mitigation- Challenges unique to evaluating LLM outputs - common failure modes and context-dependence- The lifecycle approach from development to production- Basic instrumentation and observability for tracking system behavior- Introduction to error analysis and methods for categorizing failures Lesson 2: Systematic Error Analysis- Bootstrap data through effective synthetic data generation- Annotation strategies and quantitative analysis of qualitative data- Translating error findings into actionable improvements- Avoiding common pitfalls in the analysis process- Practical exercise: Building and iterating on an error tracking system Lesson 3: Implementing Effective Evaluations- Defining metrics using code-based and LLM-judge approaches- Techniques for evaluating individual outputs and overall system performance- Organizing datasets with proper structure for inputs and reference data- Practical exercise: Building an automated evaluation pipeline Lesson 4: Collaborative Evaluation Practices- Designing efficient team-based evaluation workflows- Statistical methods for measuring inter-annotator agreement- Techniques for building consensus on evaluation criteria- Practical exercise: Collaborative alignment in breakout groups Lesson 5: Architecture-Specific Evaluation Strategies- Evaluating RAG systems for retrieval relevance and factual accuracy- Testing multi-step pipelines to identify error propagation- Assessing appropriate tool use and multi-turn conversation quality- Multi-modal evaluation for text, image, and audio interactions- Practical exercise: Creating targeted test suites for different architectures Lesson 6: Production Monitoring &amp; Continuous Evaluation- Implementing traces, spans, and session tracking for observability- Setting up automated evaluation gates in CI/CD pipelines- Methods for consistent comparison across experiments- Implementing safety and quality control guardrails- Practical exercise: Designing an effective monitoring dashboard Lesson 7: Efficient Continuous Human Review Systems- Strategic sampling approaches for maximizing review impact- Optimizing interface design for reviewer productivity- Practical exercise: Implementing a continuous feedback collection system Lesson 8: Cost Optimization- Quantifying value versus expenditure in LLM applications- Intelligent model routing based on query complexity- Practical exercise: Optimizing a real-world application for cost efficiency GUEST SPEAKERS ---1. Teresa Torres (Product Talk) : From Noob to 5 Automated Evals in 4 Weeks (as a PM).2. Jeremy Howard &amp; Johno Whitaker (AnswerAI): SolveIt -&nbsp;The Thinking Developer's Environment (a great environment for evals!)3. Leonard Tang (Haize Labs): Scaling Inference-Time Compute for Better LLM Judges4. Charles Frye (Modal): Taming diffusion QR codes with evals and inference-time scaling5. Udi Menkes (Product Manager, Intuit): A playbook for building AI agents you can trust.6. Skylar Payne: &nbsp;10x Your RAG Evaluation by Avoiding these Pitfalls TOOLS TRACK: Eval vendors will provide optional tutorials---- Harrison Chase: LangSmith- Mikyo King &amp; Isaac Flath: Arize Phoenix- Wayde Gilliam: Braintrust

Eliminate the guesswork of building AI applications with data-driven approaches.

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

Monday & Wednesday & Friday

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

Engineers &amp; Technical PMs building AI products who are interested in moving beyond proof-of-concepts.

Those interested in moving beyond vibe-checks to data driven measurements you can trust, even when outputs are stochastic or subjective.

Founders and leaders who are unsure of the failure modes of their AI applications and where to allocate resources.

Who this course is for

What you’ll get out of this course

We've tried all of them so you don't have to.

Acquire the best tools for finding, diagnosing, and prioritizing AI errors.

And how to best leverage data when you do have users.

Learn how to bootstrap with synthetic data for testing before you have users

Data flywheels ensure you have examples to draw from for prompts, tests, and fine-tuning.

Create a data flywheel for your applications that guarantees your AI will improve over time.

How can you really trust LLM-as-a-judge? How should you design them? We will show you how. We will also show you how to refine prompts, generate metadata, and other tasks with the assistance of AI.

Automate parts of your AI evaluation with approaches that allow you to actually trust and rely on them.

We will show you approaches to discover all the ways AI is not performing

Ensure your AI is aligned to your preferences, tastes and judgement.

There are an infinite number of things you can try, tests you can write, and data you can look at. We will show you a data-driven process that helps you prioritize the most important problems so you can avoid wasting time and money.

Avoid common mistakes we've seen across 35+ AI implementations.

We will provide end-to-end exercises, examples and code to make sure you come away with the skills you need. We will NOT just throw a bunch of slides at you!

Hands-On Exercises, Examples and Code

Generous office hours ensures students can ask questions about their specific issues and interests.

Personalized Instruction

Learn proven approaches for quickly improving AI applications.  Build AI that works better than the competition, regardless of the use-case.

Hamel Husain

ML Engineer with 20 years of experience.

Shreya Shankar

ML Systems Researcher Making AI Evaluation Work in Practice

Cohort 1 has $1,000 in modal credits.  This is NOT guaranteed for Cohort 2

Cohort 1

Cohort 2

Enrollment Update - July 14th Final 2025 cohort • Starts Sept 15The September 15th cohort (the final one for 2025) is our final offering with unlimited class retake flexibility—perfect for senior PMs juggling multiple priorities. Enrolled&nbsp;students get LIFETIME ACCESS to all materials&nbsp;and recordings. 💸 $500 Off — Our Biggest Savings of the YearLock in our largest discount with code EARLYBIRD500. This offer expires permanently this Sunday, July 20th. Team Enrollment (10+): Contact us for special pricing and arrangements at support@productfaculty.com Why it matters: AI Product Manager is the new Product Manager In 2025, every product decision will be an AI decision. This course will allow you to master the skills you need to lead in the AI-driven future. 👨‍💻 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗢𝗥 Miqdad Jaffer, a Product Leader at OpenAI, has 18 years of experience in building products at some of the world's most successful companies. Currently, he leads enterprise products at OpenAI and was previously the Head of AI Products at Shopify. Miqdad is one of the world's top AI executives and an award-winning AI Product educator. His work on AI has been featured in TechCrunch, MIT’s AI Podcast, FastCompany, The Globe and Mail, and Spotify. He has been listed as one of the top 100 people to follow in Artificial Intelligence by Business Insider and has received many other awards and accolades. If you have any questions about the training, please reach out to me support@productfaculty.com. 💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘This course is not just about learning; it's about doing. It’s an exercise-heavy training that goes beyond gaining "AI speak" to enhance your credibility and confidence to build AI Products and future proof your career.&nbsp;The live online sessions spread across three classes that will equip you with a comprehensive AI Product playbook. This playbook covers everything from AI use-case validation, product design, development, and delivery, to launch strategies, metrics, and growth.&nbsp;Learn from successful AI product features at leading companies like Shopify, Google, Klarna, and Amazon, and apply these insights in a capstone project where you'll build your own AI-powered feature. Topics Covered (Amongst Others):&nbsp;• Taxonomy of Prompting Techniques• Basic AI Concepts and Processes• Training and Model Improvement• Quality, Bias, and Interpretability• Computational Concepts (Deterministic vs. Non-Deterministic)• Qualitative vs programmatic evaluation&nbsp;• Model Customization Framework• Types of AI Models and Applications• Chain of Thought Prompting• Self-Reflection &amp; Self-Consistency• ReAcT Prompting Framework• Retrieval Augmented Generation (RAG)• Fine-Tuning &amp; RLHF• Function Calling &amp; Tool Usage• LLM-Powered Agents• LLM Evaluation &amp; Judge LLMs• AI Safety &amp; Moderation Tools• Adversarial Prompting (Jailbreaking and Prompt Injections)• Common Real-World Use Cases of LLMs• Understand Advanced Prompting Techniques&nbsp;• Zero-shot prompting• Few-shot prompting/in-context learning• Chain-of-Thought (CoT) 💡 COURSE PREREQUISITES﻿This course is NOT for you if:• You work exclusively on non-software products (hardware, pharmaceuticals, deep climate tech, defense tech, etc.)• You're looking for a purely theoretical overview with no hands-on practice• You're looking for a low-effort introduction to AIWhat to expect:• A structured learning path that starts with the basics – no prior coding required• Beginner-friendly guidance through setting up the OpenAI Playground environment• Practical exercises that build your confidence step-by-step• With dedicated effort, you'll achieve results that directly apply to your work 💡 𝗔𝗕𝗢𝗨𝗧 PRODUCT FACULTY&nbsp;Product Faculty is one of the most recognized names in the PM training industry and has been around for over 8 years. At Product Faculty, we’ve trained and mentored over 10K product managers working at some of the leading companies in&nbsp;the world. Product Faculty’s training has some of the highest NPS (Net promoter scores in the industry with most classes having an NPS of 70+ (considered exceptional and reflect outstanding customer satisfaction). Product Faculty has been recognized as the top rated Product Management Bootcamp from the following organizations:&nbsp;&gt; 2023 Course Reports - Best PM Bootcamp&gt; 2022 Course Reports - Best PM Bootcamp&gt; Career Carma - #1 Ranked PM Bootcamp&gt; CourseCompare - Best PM Bootcamp&gt; Switchup - Best Bootcamp Reach out to support@productfaculty.com for any questions, corporate trainings, and group/student discounts.

Acquire the skills & confidently build AI products and future proof your career

Access hours of expert-led content on your schedule. Build foundational knowledge in AI Product Management with in-depth modules designed for flexibility. Perfect for busy professionals looking to upskill at their own pace and apply learnings immediately.

OnDemand Content

Join live sessions to work through real-world AI case studies. Engage with exercises and get your questions answered by expert Miqdad. Gain practical insights that turn theory into action, with direct support tailored to your unique challenges.

Live Case Study and Q&A

Complete a hands-on AI capstone that simulates launching a real AI feature. Tackle ideation to deployment with weekly feedback from experts. Finish with a portfolio-ready project that showcases your skills in real-world AI Product Management.

Capstone Project

Timings for each session have been chosen based on what works best for most product people in practice. Don't worry about missing classes, recordings for all modules will be made available for you to watch in your Maven account.

Optimized for very busy schedules of Senior PM, GPMs and VPs

For PMs &amp; Leaders: The #1 rated certificate to master the age of AI. Learn the A-to-Z playbook to ship successful AI products.

For Engineers &amp; Tech Leads: Don't just build. Lead. Get the product strategy to make better tech decisions &amp; fast-track your career.

For Founders, Designers &amp; UX: The playbook to build a winning AI venture or design human-first AI experiences users will love.

Who is this course for

Clear, actionable processes for analyzing AI use cases and developing strategies towards tangible outcomes.

Solve Real Problems with AI

I’ll act as your personal innovation guide as you create functional AI applications, no prior coding experience needed.

Build Real AI Prototypes

Grasp foundational models and large language models (LLMs), and learn to code and train models independently.

Dive Deep Into AI's Technical Side

Transform theory into practice by developing your AI product idea or tackling your company's AI challenge, guided by me.

Hands-on Capstone Project

Discover essential strategies for enhancing decision-making and using data to steer results in your professional and personal life.

Make Better, Data-Driven Decisions

Master the art of managing risks by blending automation with human oversight to maximize value from AI applications.

Balance Automation with Oversight

Utilize in-context learning for efficient prototyping, RAG applications, and more, without getting engineers involved.

Learn Prompt Engineering

Deepen your understanding of AI memory/context and Retrieval Augmented Generation (RAG) to enrich AI interactions.

Master Retrieval Augmented Generation

Gain a comprehensive understanding of crucial AI algorithms, concepts, and techniques to foster organization-wide knowledge.

Boost Data & AI Literacy

Master the art of pitching your AI product ideas so clearly and excitingly that everyone's eager to jump on board.

Make your ideas irresistible: 

This intensive weekend course is tailored for professionals with weekday commitments, complete with recorded sessions for revisiting.

Optimized for Busy Senior PMs

Secure lifelong entry to our expansive alumni network for unparalleled opportunities, job connections, and continuous learning.

Lifetime Access to Product Faculty Community

Equip yourself with cutting-edge AI skills and insights to stay ahead in the evolving tech landscape, ensuring your career remains resilient and growth-oriented.

Future-Proof Your Career

#1 Rated AI Certificate. Acquire the skills needed to confidently build AI products, positioning yourself for success in the AI world

Cohort 5

Cohort 6

Miqdad Jaffer

Product Leader at OpenAI, TechCrunch & MIT featured, Top 100 by Business Insider

Cohort 4

Cohort 7

🚨🚨Notes: - For questions or bulk requests, reach out to: problemfirst.ai@gmail.com- October will be our final cohort. We don’t plan to run this course in 2026, it’s simply gotten too hectic. As much as we love teaching AI, we love building enterrprise AI systems a bit more. So if you’ve been considering it, this is your last chance to join.- This course is an independent offering and is not affiliated with, endorsed by, or related to the instructors' current or past employers. ⛳&nbsp;The only prerequisite: you should have coded at least once in your life. The course includes low-code assignments, and even folks who hadn’t touched code in over 15 years have found it approachable and rewarding. That said, a basic understanding of coding really helps you get the most out of it — and of course, there’s AI to assist you along the way. The course is built for everyone, whether you’re a Product Manager, Architect, Director, C-suite leader, or someone seriously exploring agentic AI. Agentic AI or AI systems capable of operating with some degree of autonomy, is transforming how we interact with technology. In the coming years, most software systems will integrate AI agents to enhance their capabilities. This shift will drive a growing demand for professionals who can move beyond surface-level understanding and apply AI effectively to solve real business challenges while navigating practical constraints. This course focuses on practical AI agent development, covering key agentic design and usage paradigms. Instead of just explaining what these techniques are, we focus on when and how to use them, so you're equipped to make informed, business-driven AI decisions. What You'll Learn All core content is pre-recorded so students can focus on two-way interaction. Lectures are watched asynchronously, and we host four office hours each week for questions and brainstorming Week 1 (Let’s get you to understand what problem-first means)Decode why agentic AI breaks traditional software assumptionsFrame hallucinations, latency, and prompt brittleness through the determinism spectrumOpen vs. closed models: tradeoffs across compliance, latency, and costProblem-first, evaluation-driven design using early datasets and proxy metricsDeconstruct a production-grade use case and redesign it across progressive system versions Week 2 (Context engineering is the core part of agents, do it smarter with right evals)Break down the evolution from zero-shot prompts to self-optimizing modelsMaster context engineering: Decomposition, meta-prompts, algorithmic optimizationAnalyze when to use prompting-only systems based on task, cost, and latencyCompare model-level strategies: reasoning vs. regular, and when each makes senseAdd guardrails and evaluation layers using LLM judges, semantic scoring, and offline tests Week 3 (RAG is not dead, it’s in fact the basis of self-improving agents)Address statelessness via dynamic retrieval and memory-backed context injectionBuild robust RAG pipelines with advanced chunking, embedding selection, and retrieval methodsExplore GraphRAG, Agentic RAG and multimodal RAG and other advanced methods and learn tradeoffsArchitect episodic, semantic, procedural, and working memory layers for self-reflective agent behavior Week 4 (MCP from an enterprise lens and multi-agents + Fine-Tuning)Understand planning autonomy in agents and how dynamic tool use and multi-turn reasoning go beyond static workflowsCompare agent levels and their control dimensions: action, planning, evolution, and physical autonomyExplore MCP (Model Context Protocol) and A2A as emerging agent-tool communication standardsInvestigate critical security challenges in MCP and A2A. Understand how guardrails, tool signing, audit trails improve reliabilityAnalyze coordination patterns in multi-agent systems, including shared memory governance, state sync, AI collusion risks, evaluation, logging, and observabilityExplore fine-tuning levers (SFT, RLHF, PEFT etc.), compare with RAG, and determine when to shift from context injection to model adaptation Week 5–6 (Put it all together in a capstone)Work in groups of 6Take a business problem and design/implement a solutionDemo to 4000+ public attendees including leaders, VCs, and hiring managers Homeworks: You'll supplement your learning by building an agentic search system (Perplexity like) in 3 iterations with the final iteration using agentic RAG, MCP and multi-agents. You can choose between low-code/code routes to complete assignments. ---- ❌ Who This Course Is Not For For Those Who Have Already Deployed Gen AI in Enterprise: This course is designed as an applied foundations course for enterprise AI with only basic Python as a prerequisite and no ML background required. If you’re already familiar with deploying AI systems, you won’t gain much from the core content. However, if you're looking to network and refine best practices, you're welcome to join. Those Seeking Heavy Theoretical Knowledge: This course emphasizes applied learning and practical problem-solving, not deep dives into theoretical topics like transformer architecture, pre/post-training optimization, inference techniques, or alignment. Those Who Have Never Coded Before: While we provide low-code options, this course assumes you have some coding experience. It’s not suitable for those who have never written or worked with even basic code. Individuals Expecting Deep AI Research Focus: While we’ll cover cutting-edge techniques, this course is centered on applying AI to business problems, not research-heavy exploration. Scaling and Ops Enthusiasts: This course does not focus heavily on scaling or operational aspects (i.e., LLMOps). Deployment will be covered at a high level, but not in-depth.

Design and build impactful agentic AI systems to solve business problems.

You should have coded at least once in your life. The course includes low-code assignments, and even folks who hadn

The only prerequisite

We offer generous office hours to support you throughout the course, along with 24-hour help on Slack. Typical weekly schedule:<ul><li>Wednesdays at 10 am PT and Saturdays at 9 am PT: Assignment Support</li><li>Thursdays at 5 pm PT and Saturdays at 8 am PT: Content/Use-case discussions</li></ul>

Live Office Hours

Our weekly community discussion channel covers the latest trends in AI, industry updates, and all the unfiltered tea, open, casual, and freeform.

Chai & AI Sessions

We bring in industry experts to share proven insights and discuss real enterprise challenges

Guest Lectures

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design

Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions &amp; lead AI initiatives

Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions

While most courses stop at teaching tools and frameworks, this course goes further by focusing on solving real-world business problems. You’ll tackle practical constraints like cost, scalability, latency, and performance, learning to design AI solutions tailored to real use cases

Solving Real Enterprise Challenges, Not Just Concepts 

While learning applied AI concepts, we’ll put them into action by building a Perplexity-like AI-powered search system through detailed, hands-on tutorials that demonstrate their practical application (Low code options will be provided)

Apply Concepts to Build an Agentic Search System

Learn how to connect cutting-edge research with real-world applications. For the capstone, you’ll use our curated list of the latest research papers to design and implement solutions for practical business use cases. Some of our capstones have received VC funding too. <a href="https://areganti.notion.site/Capstone-Projects-Problem-First-AI-1e0c91fa32368011b935e00a35d9bceb" rel="noopener noreferrer" target="_blank">Examples</a>

Gain a deep understanding of key challenges in building AI systems, including handling hallucinations, adversarial attacks, security, privacy issues etc., and learn best practices to evaluate AI solutions comprehensively

Understand Challenges and Effective Evaluation
 

The course includes guest lectures from industry experts, AMA sessions, and our Chai &amp; AI discussions, culminating in a final in-person meetup in the Bay Area. You'll have plenty of opportunities to network and become part of our community.

Access to the Problem-First AI Community

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application

Self-paced Cohort

Aishwarya Naresh Reganti

Tech Lead | Lecturer | Advisor | Researcher | Speaker | Investor

Kiriti Badam

Member of Technical Staff @ OpenAI | AI Advisor | Ex-Google

May 2025 Cohort

July 2025 Cohort

16+ total hours of content: 6+ hours of core lecture material video recordings for self-learning followed by 10+ hours of live sessions (Q&amp;A, implementation advice, and peer networking). All live sessions are video recorded so you can catch up and revisit as needed. Learn the Standards of Executive Performance- How to know where you stand- How to break out of being stuck- How to develop and demonstrate executive presence- How to gain executive visibility- How to engage executive sponsors- How the leaders above you are evaluated and thus how you can help them- How to get scope, including during a flat or negative growth environment- How to overcome obstacles and poor managers- How to become a scaled deep leader, change agent, and trusted decision maker- How to manage your team to execute with little oversight, take calculated risks, and deliver results- How to think strategically and be seen as a influential leader who enhances the whole company- How to lead AI adoption Learn How to Manage the Executive Promotion Process- How to position yourself for promotion- How executives assess promotion readiness- Overcoming blocks to promotion- How to deal with a manager who gives little feedback- How to manage peers and sponsors- How to win skip level support- How to run the document creation process Scope, team size, and consistent high-impact results are important...But are not enough. I will teach you specific actionable steps on how to prioritize the things that matter to executives. Bonus material:- Executive Presence handout by Mariposa Leadership (one of our recommended coaching options)- Recommended coach list- Class slides as a PDF- 20% off all career development on-demand courses Advice is based on Ethan's personal promotion experience from Amazon Senior Manager to Director to Vice President and diverse insights from his network of executives, coaches, venture capitalists, army officers, and startup founders. Proven ROI for promotions and internal/external hires: Ethan promoted 8 reports from Senior Manager (Amazon L7) to Director (Amazon L8), contributed to 25+ Director promotions, hired 10+ Directors internally and externally, drove the promotion of 3 engineers to Principal, and of his former reports 2 are current Amazon VPs (L10) and 5 are C-Suite outside of Amazon. More than 1,000 senior managers and leaders worldwide have taken this course (including engineering managers, senior product managers, general managers, head of partnerships and business development, design leaders, and directors/VPs who have also found the course applicable to their careers). Many leaders buy this course for their team: Citing it is a big net positive for an organization by up-leveling team skills with practical and actionable insights. Multiple executives and leaders have bought 10+ seats for their direct reports / team. Alumni from: Amazon, Meta, Microsoft, Google, Apple, Netflix, Airbnb, Uber, Stripe, Shopify, Flexport, Oracle, Salesforce, Red Hat, Affirm, eBay, Expedia, Zillow, Groundspeed, Snapchat, TikTok, Unity, LinkedIn, Disney, McKinsey &amp; Company, Vimeo, JPMorgan Chase, HSBC, Kohl's, Capital One, Warner Bros, Discord, IBM, Vimeo, Waymo, and more startups &amp; large companies all over the world. Titles of course members range from Manager/Senior/Group/Principal to Director/VP/SVP/CPO. Alumni success stories:- "Hope all is well with you and your family Jason! Happy to share that due to executing some of the tactics shared in the program (taking action for one), I have been successful in getting myself promoted." — Promoted to Director - “What was key was that I actively participated in the live course AND followed through with some participants afterwards to talk shop and build relationships. One of those relationships just happened to be able to help when I needed it.&nbsp;Simply adding connections wouldn’t have been successful as they would have had no context about me, and not enough trust to put me in touch with important people in THEIR network.” — Landed FAANG Role - “When I took the ‘stuck at sr. manager’ course, Ethan mentioned that he knows that everyone wants to get promoted and wants it now but in the grand scheme of things, it’s not a big deal (paraphrasing, of course) since he knows us high performers are going to get there. Oddly, that comment didn’t make me lazier (“I guess i’ll get there anyway, so why try so hard”) but it grounded me a bit to take a breather and realize that it is not as urgent as I think it is and take the challenge (wanting a next level title) in stride!” — Promoted to Director - “I give so much credit to the Level Up: Breaking through to the Executive course and getting a front seat to Ethan's coaching and wisdom. Thank you for working to build this community that has given me to confidence to reach even in the current market environment! It is my dream role and I'm so grateful for the opportunity.” — Promoted to Director - “I am excited to share that I got promoted to Director and I sincerely thank and appreciate your help on this. I was not able to break through the barrier to Director level, partly due to constant changes happening in the company at leadership and strategies. I continued to apply my learnings from the community to influence the cross functional teams. Leadership was seeing the adaptability that I exhibited in continuing to add business value in new role and I was starting to get positive feedback from the VP on my flexibility. If I have to just pick one thing across all of Ethan’s teachings that helped me the most, it is being PROACTIVE. I am very grateful for your help and I really appreciate the learnings I have got as part of your community and your course on Stuck at Senior Manager. It really helped me to achieve this big milestone in my career. I thank you and Jason deeply as this promotion was very close to my heart." — Promoted to Director - "I’m excited to share some exciting news—I’ve landed a new job! I’m deeply grateful for your support and the scholarship. I can’t wait to apply everything I’ve learned in this new chapter of my career. Thank you again for your wisdom and generosity." — New Job TOP MAVEN COURSE- Top Course in Leadership &amp; Career- Top Instructor in Leadership- Featured in Maven's Executive Track- Featured in Maven's Fast Track- Featured in Maven 100- Featured in Lenny's List WHO THIS IS NOT FOR:- This is not for you if you want 1:1 coaching from Ethan.- This is not for you if you believe you already know what it takes to demonstrate executive performance and how to manage the promotion process.- This is not for you if you want a slow-paced experience. This course provides in-depth lectures in a 2-day weekend intensive followed by 4 weeks of implementation follow-up. It is designed for busy leaders who want to get the information and then quickly take action. BONUS:(From Maven): When you enroll in this course, you’ll receive $1,395 in free credits to level up your workflow with Superhuman, Linear, Sprig, Dovetail &amp; Gamma (see FAQ for details).

Level Up from Senior Manager to Executive

You will also get a 90 minute video recording from Ethan that covers:(1) Prework goals:<ul><li>How to get the most out of class.</li></ul>(2) Prework actions:<ul><li>Identify your ultimate goal.</li><li>Pinpoint where you are stuck.</li><li>Take stock of where you stand.</li><li>And more.</li></ul>

Bonus — Prework Video Recording (90 minutes)

<ul><li>How to identify the 10x AI opportunity</li><li>Your role as a leader and a change agent</li><li>How to lead from multiple personal positions</li><li>How to support your team</li><li>How to lead by example</li><li>Leadership actions to take now</li><li>The state of AI (April 2025)</li><li>Resources</li></ul>

New Bonus Module — Leading AI Adoption

<ul><li>2 hour lecture by Ethan</li><li>45min live Q&amp;A with Ethan</li><li>45min peer networking</li></ul> Optional to attend (but recommended)

Saturday, April 26 - (Session 1) Live Lecture with Q&A & Peer Networking

Sunday, April 27 - (Session 2) Live Lecture with Q&A & Peer Networking

<ul><li>Ethan’s implementation advice on "Great Personal Performance"</li><li>Implementation problem Q&amp;A with Ethan</li><li>Peer accountability and networking groups</li></ul> Optional to attend (but recommended)

Wednesday, May 7 - (Session 3) Live Implementation Workshop

<ul><li>Ethan’s implementation advice on "Great Team Performance"</li><li>Implementation problem Q&amp;A with Ethan</li><li>Peer accountability and networking groups</li></ul> Optional to attend (but recommended)

Thursday, May 15 - (Session 4) Live Implementation Workshop

<ul><li>Ethan’s implementation advice on "Great Organizational Contributions"</li><li>Implementation problem Q&amp;A with Ethan</li><li>Peer accountability and networking groups</li></ul> Optional to attend (but recommended)

Thursday, May 22 - (Session 5) Live Implementation Workshop

<ul><li>Ethan’s implementation advice on "Promotion Process"</li><li>Implementation problem Q&amp;A with Ethan</li><li>Peer accountability and networking groups</li></ul> Optional to attend (but recommended)

Thursday, May 29 - (Session 6) Live Implementation Workshop

All live sessions will be video recorded and made available to watch/rewatch at your own pace via the Maven Student Portal. Thus, if you cannot attend the full time or need to drop off at any point, you can catch up and watch the video recording.

Video Recordings will be Available

Maven's Satisfaction Guarantee offers a full refund within 14 days after the course ends if you meet the completion criteria:<ul><li>Attend all live sessions</li><li>Review all course material</li><li>Respond to feedback requests</li></ul> Otherwise, no refunds starting April 2, 2025 (when Student Portal opens)

Maven's Satisfaction Guarantee

Ambitious Senior Managers from all disciplines at startups and large companies who want to become true executives.

Those managing large groups, managers of managers, including Amazon and Google L7, Meta M2, and Microsoft 66/67.

Also applicable to Senior Individual Contributors (ICs - Principal at Amazon) and Managers of 2-5 reports.

Many leaders buy this course for their team to help uplevel their skills with practical and actionable insights.

This is not for you if you want 1:1 coaching from Ethan.

What you will get out of this course

We will dive deep into specific tactics on how to get promoted, what great looks like, the executive bar, how to build a reputation that signals you are an executive, how senior executives assess promotion readiness, and how to drive team and company-wide impact.

How to get promoted to Executive

Learn how to stand out from your peers with specific tactics on how to better position and advocate for yourself, how to gain senior executive sponsorship, and how to influence the promotion approval meeting.

How to manage your promotion process

Course content is developed by Ethan's personal promotion experience from Senior Manager to Director to Vice President at Amazon along with input from Ethan's wide network of executives, coaches, VCs, army officers, and startup founders. You will get specific actionable advice.

Optimized actionable advice for Senior Managers who want to get promoted

Hear Ethan's break through experience first hand and learn from the specific actions Ethan took with his direct reports to help them break through to executive.

Learn from Ethan's personal stories (not theory)

Leading AI Adoption (new bonus module) 

Alumni from: Amazon, Meta, Microsoft, Google, Apple, Netflix, Airbnb, Uber, Stripe, Shopify, Flexport, Oracle, Salesforce, Red Hat, Affirm, eBay, Expedia, Zillow, Groundspeed, Snapchat, TikTok, Unity, LinkedIn, Disney, McKinsey &amp; Company, Vimeo, JPMorgan Chase, HSBC, and more.

You will be in great company

Learn actionable specific standards by which executives are selected and how to manage your promotion process to show you meet them. 

Ethan Evans

Retired Amazon Vice President; now Coaching Leaders to become True Executives

Cohort 8

ANNOUNCEMENT: Due to overwhelming demand and to ensure we maintain the highest quality learning experience, the price for our AI PM Cohort Bundle will increase to $2500 starting next week.If you’ve been on the fence, now is the time to enroll and grab the full bundle at current pricing — including bootcamps, cohort, mentorship, and more. Meet our team here : https://calendly.com/team_maheshyadav/ Feeling Lost in the AI Wave?You're great at what you do, but not confident navigating the AI shift and its implications on product development and building. - Struggling to Translate AI Concepts Into Product Thinking?You hear terms like LLMs, agents, and embeddings, but you’re not sure how to turn them into features or user value. - You Know Product—But Not AI Tools.You don’t have hands-on experience with GenAI tools like LangChain, RAG, or OpenAI APIs that hiring teams now expect. - No Portfolio That Shows You “Think AI.”You lack real-world AI case studies or projects to demonstrate your ability to build with and for AI. - You Want a Role That Excites You Again.You’re craving deeper impact, technical challenge, and the next chapter of your career. AI is calling. - Overwhelmed by AI Hype, Unsure Where to Start.There’s too much noise in the AI space—you're looking for a structured, guided approach that actually delivers and helps you identify AI opportunities, create a roadmap, set evaluations, and GTM. - Not Confident in Leading Technical Conversations.You’re struggling to collaborate with engineers on AI-first products or ask the right questions in meetings. - Your Current PM Role Feels Stagnant.You're looking for growth, but your current role doesn’t offer a clear path into GenAI leadership. - Fear of Being Left Behind.The industry is evolving rapidly and AI-native PMs are getting picked first, you don’t want to be left behind. - Difficulties in cracking AI PM Interviews?You’re applying for AI PM roles but keep getting stuck at the CV review or technical rounds. What You’ll Achieve with this Agentic AI PM Program with MAANG leader (Learning+Application+Interview Prep: All At One Place) - Build Real AI Product Intuition – Learn to translate AI capabilities into user-centric features. - Hands-on AI Labs &amp; Tools – Using various AI tools like Langflow, Langchain, OpenAI, Microsoft Co-pilot studio, Vertex.ai, and more, with or without needing to code, - Craft a GenAI Portfolio – Complete real case studies and projects to showcase your AI skills by building&nbsp;MAANG level AI PRD. - Crack AI PM Interviews with Confidence – Proven frameworks, mock interviews, and personalized feedback. Learn Directly from Mahesh Yadav – Ex-Product Lead at Google, Meta, AWS &amp; Microsoft, with 20+ years of experience. Join a Network of 1000+ AI PMs – Weekly syncs, expert sessions, and lifetime support. Join Mahesh on a weekly FREE session in the community to stay updated on the latest. &nbsp;What’s Included (Total Value: $4500+):✅ Full GenAI Cohort Experience (Starts Aug 9)✅ 3-Week AI PM Interview Prep Bootcamp ($1500)✅ 1:1 Career Mentorship with Mahesh Yadav (Worth $1000)📌 Our June Cohort was sold out in days, and only August &amp; October cohorts remain for 2025.This is your final chance to join the most practical, hands-on AI PM program at the current price. 📞 Have questions?Meet our team here https://calendly.com/team_maheshyadav/And we’ll walk you through everything. We’re are consistently recognized as one of Maven’s top courses and being the only 5-star rated courses in AI.We're the only AI PM certification course that genuinely helps and tracks your success even after cohort completion.We are really proud of 27% of our cohort members that have successfully transitioned into AI PM roles. We achieve these results through:- 50+ written lessons- 10+ live workshops (beyond recorded content)- 20+ live AMA sessions directly with Mahesh- Continued support during interviews and continuous learning via weekly sessions after cohort Non-technical PMs are fully supported and encouraged to dive in—we provide extensive support hours to help. Our mission is to make this the only AI course you'll need in 2025 (period). To ensure this, we've added hands-on learning labs and strong technical support that empowers everyone—no coding or technical background required. Here, we will empower you to confidently identify , create, eval and launch production-ready agents using GCP Vertex AI, Langflow, Crew AI, Azure Evaluators SDK, and Azure Co-pilot Studio. We are offering two timings to accommodate your busy schedules.Wednesdays at 5:30 PM PSTSaturdays at 9:00 AM PST Know your instructor Mahesh Yadav is your mentor and guide to success in AI product management. With over 20 years of experience and 10+ years building AI-powered products at Google, Amazon, Meta, and Microsoft. Mahesh has 9 patents as primary innovator in AI training and Power management. He has presented at premier conferences such as Nvidia GTC, Microsoft Build, and AWS re-Invent. Mahesh brings firsthand insights from advising fast-growing AI startups and collaborating with senior leaders at Google, Meta, and Amazon, giving you an inside look at what truly drives AI innovation in top tech giants and AI startups in bay area. Deep Expertise: Mahesh led the expansion of PyTorch into PyTorch Distribution and contributed to Meta’s first GPT3-scale training model (OPT) in 2019. His work spans key AI technologies including recommendation systems , PyTorch, Agents for AWS Bedrock, and multi-agent for GCP. Practical Insights: His teaching uses real project examples to deliver actionable strategies you can implement immediately. He is teachng for past 15 years at Microsoft he taught as TEALS instructor for 3 years, then he tought AI courses internally for fun at Meta and MSFT. For the last 3 years, he has taught 10k+ across Free and Paid channels.&nbsp; Impact he left: Over 3000 professionals have upskilled through his courses, many now holding roles at top AI companies Ace AI PM Interviewsk&nbsp;Internally or ExternallyThis isn't just a course, it’s your career catalyst.Whether you're aiming for an internal transition or preparing for external AI PM interviews, you’ll gain the exact frameworks and confidence needed to stand out in any interview room.We don't stop at theory. We simulate real-world product challenges, review your interview answers, and walk you through how hiring managers at Google, Meta, and top AI startups actually evaluate candidates.And unlike most cohorts that wrap up after 3-4 live sessions, we guarantee more value than you pay for:20+ live sessions with Mahesh during the cohort and countless more on advanced trending topics even after the cohort's lifetime. You won’t just prepare for interviews, you’ll walk in already looking like an insider.

Agentic AI Cohort + AI PM Interview Prep, Together in the #1 AI PM Program

Recordings will be provided in the student portal if you cannot join live.

5 Saturdays 90 mins sessions with Mahesh

You will have 5 lab sessions to build with Mahesh Teams. It is also our weekly open office hour.

Wed Lab Sessions/Optional Q&A

We want to help you to continue your learning journey even after the cohort ends. We meet weekly on my LinkedIn community. Current and previous cohort members join us to keep learning. Join us for a free event:https://www.linkedin.com/company/mahesh-ai-pm-community

Weekly Community Sessions

Product Managers Traditional PM looking to transition into AI Product Management. This course will help you more with GenAI.

Engineers and Designers:Ready to transition into the PM world? Learn to bridge the gap between technical implementation &amp; product strategy

Founders:If you're looking to turn ideas into MVP &amp; gain the knowledge &amp; confidence to lead your team in building Ai Products

Builders Ready to Upskill into the PM world with real toolsLearn to bridge the gap between technical implementation &amp; product strategy

Are you wondering if this course is for you ?

Your Takeaways From This Cohort

Go from beginner to confident AI Product Manager in just a few weeks. In this course, you’ll follow a hands-on, project-based approach to quickly master both the fundamentals and advanced skills needed to build production-ready AI agents that solve real problems.

Fast-Track Your AI PM Journey

Our alumni are landing promotions, pivoting into AI roles, and stepping into leadership positions at top tech companies. As part of the cohort, you’ll tap into an active network that shares referrals, job tips, and insider guidance to help you break into or level up in the AI spa

Accelerate Your Career in AI
 

If you're a founder or builder, this course is your launchpad. You’ll be equipped to take your idea and turn it into a functional AI MVP tailored to your business needs - right away.

Turn Ideas Into Real Products

You won’t just leave with skills—you’ll leave with connections. Join a community of like-minded professionals, learn from each other, and keep growing long after the course ends.

A Lifelong Community That Grows With You

Build AI powered products, Master Evals, and land your Next AI role - In guidance with MAANG leader who has been there done that many times.

Mahesh Yadav

You're excited about the opportunity to land a PM role at a major tech company, but the interview process feels like a maze. Despite all the advice online, you're still second-guessing yourself. What exactly are they looking for? How do you stand out? You've tried prepping on your own: reviewing countless resources, practicing frameworks, and memorizing examples. But you're not sure if you're actually getting better. You're stuck wondering, "Am I ready?" I've been there. Tech interviews are more competitive than ever. With every passing year, the bar seems to get higher. Plus, many companies are leaning even harder on Product Sense and Analytical Thinking to evaluate PMs. If you're not confident in these areas, you're at a serious disadvantage going into interviews. 📚 What you'll learn in this course---✅ How to approach Product Sense questions with clarity — from identifying the right user segment to selecting a high-leverage problem and designing a focused v1 solution✅ How to structure Analytical Thinking interviews — from defining the right success metrics to setting guardrails, tradeoffs, and team goals✅ How to compare your take-home work to bar-raising examples through live review sessions where we walk through model answers and invite Q&amp;A✅ How to self-assess using interview rubrics and sharpen your instincts by watching top-tier examples broken down in real time✅ How to learn from a Meta-style interview coach and alumni who’ve landed offers — without over-engineering or second-guessing every answer 🔧 Course Format---🧠 2 live case sessions (Product Sense + Analytical Thinking)📝 2 take-home projects to apply the frameworks on your own🔍 2 live homework review sessions where we walk through model answers and invite Q&amp;A💬 2 live office hours with a seasoned coach (ex-Meta, ex-Google)🙋 1 AMA session with a course alum who landed L6 at Meta🎥 All sessions are recorded and available for rewatching Time commitment: ~14 hours over 3 weeks. Designed to fit into a busy schedule while maximizing interview readiness. 🤖 Copilot Included---Enrollment includes access to the AI Copilot — a structured practice companion where you can:• Upload your answers to get rubric-aligned feedback• Simulate an interviewer or candidate to sharpen your skills• Get unstuck while working through the frameworks

Does this sound familiar?

↳ You're seeking generic interview prep - this course is specifically designed for Product Sense & Analytical Thinking interviews

Structured PS & AT Interviews

We'll have two 2-hour sessions (one in 1st week, one in 2nd week). There will also be three optional 1-hour office hours for Q&amp;A. Students will also have two take-home projects (one for Product Sense, one for Analytical), each expected to require ~1.5 hours to complete).

Interactive sessions + office hours + homework + AMA

PM Candidates preparing for Meta-style Product Sense and Analytical Thinking interviews (L6-L8)

📧 Email me anytime with 24-hour response guarantee💡 Schedule 1:1 huddles (15 minutes) when concepts need clarification🤝 Get invited to office hours in all future cohorts

Direct Access & Support

📋 Receive detailed templates optimized for interview success🎯 Learn evaluation criteria used by interviewers✨ Access pre-filled templates showing passing answers to PS and AT questions

Interview Frameworks & Templates

🎭 Get unlimited practice with your personal AI interview copilot🔄 Receive instant feedback based on expert frameworks💻 Step-by-step guide to set up your copilot in Claude Projects (ChatGPT coming soon)

AI-Powered Practice

🗣️ Participate in live case-style discussions with expert facilitation📝 Work through two Product Sense &amp; two Analytical Thinking questions🔍 Live homework review sessions walking through model answers

Hands-On Practice

🤝 Connect with fellow students who share the same foundation💪 Coordinate with peers for mock interviews📈 Share actionable feedback with each other using my evaluation rubric

Community & Collaboration

Master Product Sense and Analytical interviews with live case discussions, an AI practice copilot, and expert coaching from a former Meta PM