Roger Jin

Evaluation-Driven Development for AI PMs

Google

Amazon

ex-Product Lead for Gemini@Google DeepMind, 2x Founder, AI Strategy Coach

Why the probabilistic nature of AI breaks the traditional PRD and requires a new mindset focused on quality and trust

The Mindset Shift Needed to Build AI-Native Products

How Eval-Driven Development (EDD) is replacing Feature-Driven Development (FDD) as the new standard for AI products.

The New OS for AI Product Management

A step-by-step guide to implementing EDD, from defining objective, building a "golden set" to creating an eval scorecard

The 5-Step Eval-Driven Development Playbook

How your role as a product leader transforms from a feature specifier to the architect of the evaluation framework.

The Product Leader's Evolved Role

Enrollment Notes:---- All students get LIFETIME ACCESS to all materials and recordings!- This is a flipped classroom setting. Lectures are professionally recorded &amp; edited. We hold 9+ hours of office hours to maximize the value of live interaction. - Students get access to a Discord community with 1k+ students and instructors. 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.

Cohort 2

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

All lectures are recorded, 8x live office hours.

Cohort 3

✅ Why invest in learning with me? I’m a Lead PM at Booking.com, and one of the first tech PMs there, with over 10 years in the field. Before moving into product, I was a Software Developer and earned a PhD in Computer Science. I’ve worked on both sides and know exactly what technical understanding PMs need - and don't. I'll teach you exactly what matters (and why) for driving products forward. You'll get the technical and AI-building fluency needed to drive your team, no coding, no database internals, no load balancers. ✅ What can better technical understanding do for your career? From a survey of 650 PMs, 56% want to speak the same language as their engineers to communicate effectively, and build trust. 61% want to estimate features on their own, so they can plan better and deliver on time. And today, technical understanding also lets you quickly AI-prototype features to show it to real users. Finally, if you want to land a Big Tech PM role, tech skills are critical. ✅ What makes this course different? ➡️ The course is 20% theory and 80% hands-on:&nbsp;you’ll solve over 200 exercises, because that’s how real skills stick. (Try two free lessons below to learn new things even if you don’t enroll) ➡️ The course naturally offers you two very related skills: Tech foundation (part 1) allows you to lead your team more effectively. Then, if you think about it - AI is... just a non-human version of your team :) That's why in part 2 you apply Tech concepts to create features yourself. This enables you to understand tech even deeper and later turn your ideas into clickable features in minutes/hours (check 2 examples below: Spotify Clone and Cost Split App). In student's words: "Interestingly, the AI part is also incredibly useful even if you’re not the one doing the prototyping yourself.&nbsp;I started using the right technical terms and began to think a bit like an algorithm (which helps in finding a common language with developers and engineers)." ➡️ You can join even if you have zero knowledge about tech or AI-building ➡️ Over 1,500 students have already completed the course online or in person, on this platform and others. See reviews below. ➡️ Bonus: All alumni get a mini-simulator (SQL, ML/AI, Product Planning &amp; Discovery) worth ~$100 to continue practicing core PM skills. ✅ The course structure explained 1️⃣&nbsp;Live session: Tech 101sWe start with a Tech 101 live session.In just 3 hours, you’ll learn (and immediately apply) the core concepts every PM should know: Frontend, Backend, Services, APIs, and Testing. If you only did this session, you’d already have the essentials down. 2️⃣ Practice Tech (200+ exercises)Time to roll up your sleeves. You’ll work through a story-driven series of exercises based on real-life scenarios. You’ll build a Taxi app, evolve it into a Food delivery service, then a Scooter rental platform, and even a Spotify-like music app.Along the way, you’ll master tech topics with your virtual colleagues: Daniel the bossy CEO, Jane the guiding Principal PM,Ivar the eager Jr. PM (who always needs help), Helen, your sharp Engineering Manager, and more. Curious if this hands-on style suits you?Grab the free resource below, which is one full lesson from the API chapter, and see if solving 200+ exercises like this one sounds fun. 3️⃣ Live session: building a product architecture togetherOnce you’ve mastered the theory and practiced solo, we'll meet up again.You’ll team up with other PMs to design an architecture, APIs, and more for a product idea (like a social network for car owners).Students love this collaborative part. 4️⃣ Practice AI-prototyping (50+ exercises)Back to hands-on mode this time with an AI-prototyping simulator.- Start by cloning UI with simple prompts, then add more UI features.- Next, bring in the database — suddenly it starts to feel real.- Layer on backend logic to make it smarter.- Finally, integrate an external API like OpenAI so your app becomes even more powerful. 🤖 Two examples of what you can do with AI:- In 5 mins: the Spotify clone: now in another 10 mins I can imitate "Concerts nearby" feature and show to stakeholders instead of slides: https://productdo-spotify-clone-interface-demo.replit.app/- In 3 hours: Fully functional CostSplit full-stack app: https://cost-split-mobile-demo-no-auth.replit.app/ (this app is part of the course, you'll build it yourself). Want a taste? Grab another free resource below; it's the full lesson on UI feature creation. After this, you'll be able to add a feature to your Spotify clone all by yourself! 5️⃣ Live session: building a product from scratch using AINow we bring it all together. I’ll walk you through building a complete app, step by step. You’ll break into groups to handle the UI, backend, databases, APIs, and more. It’s going to be a lot of fun. 6️⃣ Advanced chapters and more You’ll unlock advanced simulator chapters, allowing you to continue progressing at your own pace.Additionally, you’ll receive complimentary access to mini-simulators worth approximately ~$100, covering topics such as SQL, ML/AI fundamentals, Product Planning, and Product Discovery. ✅ Prerequisites to join the course﻿- No prior tech or AI experience needed- If you want to participate in the AI-prototyping part, you need a Replit account (20$ for a month should be more than enough)- Be ready to set aside 3 hours for Saturday's workshops and 2-3 hours during the week for self-practice

The technical understanding a successful PM needs - nothing more.

In just 3 hours, you’ll learn (and immediately apply) the core concepts every PM should know: Frontend, Backend, Services, APIs, and Testing. If you only did this session, you’d already have the essentials down.

Live workshop 1: Tech 101s

Time to roll up your sleeves. You’ll work through a story-driven series of exercises based on real-life scenarios. You’ll build a Taxi app, evolve it into a Food delivery service, then a Scooter rental platform, and even a Spotify-like music app.

Simulator practice: "Tech for PMs" (200+ exercises)

Once you’ve mastered the theory and practiced solo, we'll meet up again.You’ll team up with other PMs to design an architecture, APIs, and more for a product idea (like a social network for car owners).Students love this collaborative part.

Live workshop 2: architecture of a start-up

Back to hands-on mode this time with an AI-prototyping simulator.- Start by cloning UI, and then add more UI features.- Next, bring in the database — suddenly it starts to feel real.- Layer on backend logic to make it smarter.- Finally, integrate an external API like OpenAI

Simulator practice: "Full-stack AI-prototyping" (50+ exercises)

Now we bring the AI-prototyping concepts all together. I’ll walk you through building a complete app, step by step. You’ll break into groups to handle the UI, backend, databases, APIs, and more. It’s going to be a lot of fun.

Live Workshop #3: building a Service Architecture together

You’ll unlock advanced simulator chapters, allowing you to continue progressing at your own pace. You also get access to other simulators to continue growing your PM skills.

 Advanced chapters and more

Non-tech Product/Program Managers who want to communicate effectively with their teams and assess the real complexity of projects

PMs, designers, and marketers to prototype features in minutes/hours or even start their own side project

Entrepreneurs/founders who want to build confidence in a tech-driven world, create an MVP on their own, and hire the right team later

Who is this course for

Understand all core concepts of tech and lead the team with "what/why" without getting into "how"

Tech fluency to lead your team effectively

Build the ability to gauge development complexity, keeping your plans realistic and your launches on track

The skills to accurately estimate project scope and timelines

Get ready for Big Tech PM interview questions like “Can you design the architecture for a Tinder/WhatsApp/Uber/etc?”

Preparation to handle technical interviews

Clone your product’s UI, add interactive features, and wire up backend logic. All without writing code.

The ability to turn ideas into clickable prototypes

Use AI to create full-stack apps (UI, backend, database, APIs) in just hours or days. No engineering background or coding needed.

The power to build an MVP or start a side project on your own

Two related skills in one course: master tech to speak the same language with your team. Use it to AI-prototype features or a side project.

Vladimir Kalmykov | Lead PM @ Booking.com

Lead PM @ Booking.com, PhD, 1500+ PMs learned Tech with me

Cohort June'25

Cohort Aug'25

🚨 Independent offering. This course is not affiliated with, endorsed by, or related to any of the instructor’s current or past employers. This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success. This is best suited for PMs who have at least a theoretical grasp on the latest AI concepts (RAG, MCP, Evals) and who have played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies. At the end of this course, you’ll leave able to:&nbsp; - Build and deploy functional AI agents for your personal and team workflows. - Define Your H1/H2 AI Roadmap, and lead AI product strategy with confidence and credibility. - Evaluate AI product performance with robust metrics beyond simple accuracy, or toxicity.&nbsp;After years of building AI products, I’ve noticed something surprising: every PM building with generative AI obsesses over crafting better prompts and using the latest LLM, yet almost no one masters the hidden lever behind every exceptional AI product: evaluations. - Take prototypes to production with clear implementation plans. - Collaborate effectively with AI engineers, executives and stakeholders.&nbsp; - Learn how to identify and hire great AI PMs for your team. --- WHAT TO EXPECT 1. We’ll prototype an AI product (I.e. use code gen with Cursor / Replit + langgraph/crew) to build an agentic application/system, relevant to your work or life. If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together. 2. We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components).Evals are the hidden lever behind every exceptional AI product. We’ll explore this in practice by running evals on your prototype and iterating on the prompt. 3. We’ll talk about best practices for getting to production, what to think about when you have real user data, how to work together with an AI team.&nbsp; 4. We’ll turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this ai feature to others on your team/stakeholders --- This course will be very hands-on – you’ll build real tools, evaluation frameworks, and develop implementation plans!&nbsp; - 4 week live sprint: 8 interactive live sessions packed with vibe-coding labs, eval workshops, and peer feedback loopsAll sessions will be recorded and available to students asynchronously. - Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products. - I'll also host a dedicated Slack community where you can communicate with me and other participants.&nbsp; - All sessions will be recorded and available to students asynchronously. This is not a theoretical course about AI concepts—it's a practical roadmap for product managers who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.

Design, prototype, and ship AI-powered products that delight customers

We'll help you get Cursor set up, but some familiarity with coding/debugging will go a long way here (i.e. being able to read python code)

Familiarity with code

We will have sessions twice a week for 4 weeks until the last week, for a total of 7 sessions.

Tuesdays & Thursdays

There will be assignments after each session to reinforce what you learned in the lesson.

Course schedule


Product Managers familiar with AI terms and concepts (LLMs, RAG, etc.) that wants to move beyond prompting to building actual AI products

Technical PMs transitioning to AI-focused roles who see AI product leadership as their career differentiator in the next 1-2 years

Product Leaders and Executives responsible for AI strategy who need practical frameworks for evaluating and implementing AI initiatives

What makes this course unique


This course will be focused on outcomes. I've intentionally limited enrollment to ensure personalized attention during live building sessions, direct feedback on your specific AI product challenges, and meaningful connections with fellow AI-focused PMs.

Hands-On Learning in a Limited-Size Cohort

Create real AI agents and products you can use immediately—no theoretical exercises. You'll master the techniques needed to build agents that solve real problems and continuously improve over. We'll be using low code tools like Bolt, Replit and write code with Cursor

Learn by building - Live during the lesson

Each lesson includes templates and frameworks you can use the next day at your job. Learn the end-to-end process for taking AI products from concept to shipping success, including agent building, evaluation frameworks, implementation planning, and product strategy.

Apply immediately to your work

Move from prototype to production with detailed guidance on what changes when scaling AI. You'll learn strategies for maintaining quality at scale with evals while managing cost, latency, and performance constraints.

Focus on the full lifecycle

&nbsp;Learn the critical skill of designing and implementing evals that CPOs at OpenAI and Anthropic identify as essential. While everyone else is obsessing over prompts, I'll show you why evaluation frameworks are the true differentiator in AI product development.

Master evals as a PM

Analyze the best AI products on the market to identify patterns that create exceptional experiences. You'll develop frameworks for identifying high-value AI opportunities and aligning your organization around AI.

Develop AI product intuition

This isn't theory from someone who "used to" build AI products. I'm actively working with companies like Uber and Instacart to implement and improve their AI systems. Everything I teach comes from the frontlines of AI product building.

Built by someone shipping real AI products right now

Connect with like-minded professionals transitioning into AI product roles, creating a valuable network for future collaboration.

Community of peers﻿


Build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience to become an advanced AI product leader

Aman Khan

The ProblemAfter speaking with hiring managers at Google, Meta, Microsoft, Nvidia, and Amazon, one message is clear:“We don’t hire PMs who’ve learned AI — we hire PMs who’ve shipped it.” Many product managers struggle to:· Lead cross-functional teams to build real AI products· Validate AI feasibility with real data and models· Develop production-ready AI features with real users· Showcase credible real-world AI experience on resumes, portfolio, or in interviews The Solution: Ship and Launch Real AI Products About the AI Product Management &amp; Startup Builder BootcampThis isn’t just another course — it’s a hands-on, team-based experience where you’ll build and launch a real AI product in just 4-11 weeks. You’ll join a team of AI engineers, data scientists, and designers to:· Lead real product development from idea to launch· Validate user pain points, data availability, and model feasibility· Design, prototype, and iterate with technical experts· Build a full MVP — not a mockup — and ship it with real users· Launch your product publicly across our 100,000+ tech community From day one, your product gets real visibility and user feedback — not just classroom critique. And beyond launch:· You'll create a portfolio that hiring managers actually care about· Get 1:1 resume help and expert review of your AI product story· Receive ongoing job referrals through our 1,500+ alumni network· Qualify for seed funding from Product Manager Accelerator if your team is a top performer· Apply to Y Combinator or other incubators with a real team and working product This Isn’t Just Another AI PM Course. It’s a Proven Launchpad. We’ve been running this bootcamp long before we joined Maven. In fact,&nbsp;Product Manager Accelerator&nbsp;(our parent company) has already graduated&nbsp;4 successful cohorts, launching&nbsp;30 real-world AI products&nbsp;last year. Two Phases. One Real AI Product.This Applied AI PM &amp; Startup Builder Bootcamp is structured in two powerful phases — designed to take you from AI beginner to AI product leader, with a real team and a real launch. Phase 1: Design Your AI MVP (Weeks 1–4)· Work with Product Managers and AI designers· Learn AI product strategy and lifecycle best practices· Build a validated AI MVP· Earn your AI Product Manager Certification· Pitch internal AI initiatives or get promoted Phase 2: Launch Production Ready AI Product (Weeks 5–11)· Work with AI engineers and data scientists· Turn your MVP into a real, launched AI product· Gain users, traction, and unlimited job referral support through our 1500+ alumni network· Eligible for seed funding and Y Combinator prep You can join Phase 1 as a standalone, or upgrade anytime to complete the full 11-week journey. Learn the full details of Phase 2, visit here ==&gt; https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end What Makes Us DifferentMost courses teach theory. We help you launch.· Build a real AI product with engineers, data scientists, and designers — not just a solo prototype· Launch with real users through our 100,000+ tech community — starting day one· Get job-ready with a portfolio, resume support, and referrals from our 1,500+ alumni· Access funding — top teams receive seed investment and YC application support No fluff. No guesswork. Just real-world experience that gets you hired — or funded. Cap into the 1500+ Product Manager Accelerator alumni network to accelerate your career.Ours students works at&nbsp;Meta | Google | Microsoft | Apple | Amazon | LinkedIn | Oracle&nbsp;| Intuit | eBay | TikTok | Nvidia | Uber | Tesla | PayPal | JP Morgan Chase | CapitalOne | Visa | Walmart 🧐Have additional questions: book a call and get your questions addressed live.https://calendly.com/pmaccelerator/pm-accelerator-ai-maven

Don't Just Learn AI, Launch it!

Product managers and Sr. PM looking to break into AI and gain real AI experience that sets you apart

Engineers, Consultants, marketers, analysts, designers, and data scientists seeking hands-on experience building &amp; launching real AI product

Startup founders and CEOs who want to launch a real AI product, grow users, and explore seed funding

Product Managers with a career gap who want to gain valuable skills and fill in the gaps on their resumes.

Hands-on AI product experience is the difference between getting ignored, getting hired, or getting funded.

✅ Apply the Gucci Framework✅ Build a Strategic AI Roadmap👩‍💻 Self-paced learning: Dr. Nancy Li recommends top AI courses (ML, DL, GenAI, LLMs, RAG)📚 Case Study: Analyze Google’s 10-year AI strategy🤝 Group Project: Brainstorm &amp; pitch AI product ideas

Week 1: AI Product Strategy (GUCCI Framework) and AI Basics

✅ AI Product Lifecycle✅ Hypothesis Validation &amp; Scalability✅ MVP, Launch &amp; Success Metrics✅ Model Building &amp; Training🔍 Case Study: Applying AI to Apple Watch – full lifecycle breakdown🤝 Group Project Kickoff: PMs pitch ideas &amp; form teams with AI designers

Week 2: End-to-End Al Product Management Lifecycle

✅Overview of Al models✅Trade-offs and decision-making✅Pricing strategies🏗️Case Study: Comparative analysis of Al models for different applications⚓Group Project: Conduct voice-of-customer interviews and validate AI hypotheses

Week 3: Existing LLM and Al Models, Trade-offs, and Pricing

⛳Description: Students have a deep dive on advanced AI topics&nbsp;💻Key AI Knowledge: Agentic AI, MLOpps, Langchain, Data pipeline, Data drifting, Concept drifting...🤼‍♀️AI Developer Team Match: Pitch ideas and team match with developers and a demo of product mockup and roadmap

Week 4: Advanced AI

In <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">Phase 2</a>, you'll build and launch your AI product with a team of devs and data scientists. Top teams get funding, promo support, and intros to incubators like YC. Start with Phase 1 or upgrade anytime to the <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">full 11-week journey!</a>

Week 5-11: AI PM BOOTCAMP - PHASE 2 | Build and launch your real AI product with a team of AI engineers, data scientists, and designers

I’m on a mission to help launch 1,000+ AI products and empower professionals like you to become the next generation of AI product leaders — impacting millions of lives through real-world innovation. Let’s build your product — and your future.﻿— Dr. Nancy Li

Our Mission

Lead a team of developers and designers to create a real life AI product & portfolio that gets you hired or funded

Lightning Lessons

Evaluation-Driven Development for AI PMs