See the product summary here: first cohort, second cohort and video demo of the product summary here. I highly recommend you watch the following three demos and experience it yourself.

PMA student PMs owns 100% of the IP during the 11 weeks of the program. Once you pass the 11 weeks, if you still use our engineering resources and seek advice from us, we will take between 3-10% of the equity. I stay on as an advisor. The percentage varies based on how much engineering resources you consume post 11 weeks and how much involvement you need me and my team as an advisor. Starting the second cohort, our engineers are hired as "interns" at our company. So all the work they conduct belong to the company.

Teams will consist of developers, data scientists, and product managers from my PM Accelerator program. Product managers will handle the business case, voice of customer interviews, and market research. Not all teams need a data scientist or designer. So they are optional.

In our last cohort, the team size is between 5-10 people. If you want to build a large-scope project, you will have a bigger team.

We suggest having multiple product managers and multiple developers on the same project. So that you will have a bigger scope of the project and have a successful launch.

We have recommended AI courses for developers. April 12, Developer Kick off meeting. The week of May 9, developer team match. June 16, GTM (go-to-market) strategy and user engagement push using Dr. Nancy Li's social channels and authority. The week of July 3, team demo

IMPORTANT, the following schedule is subject to change based on holidays and urgent travel plans from coaches.

Week 1 - 11 Agenda for AI PM Bootcamp Cohort#4

Week 1: AI 101 and program kick off, Saturday, April 12 @ 11am EST - with Dr. Nancy Li

Prepare for your AI product ideas pitch day

Week 2: AI PM life cycle. Monday, April 21 @9pm EST - with Dr. Nancy Li

AI Product Ideas Pitch Day => Team Match Day for PM & Designers
Week 3: Advanced AI. Monday, April 28 @9pm EST - with Mentor Austin Sun
Week 4: Prompt Engineering, Tuesday, May 6 @9pm EST - with Mentor Austin Sun

MVP Pitch Day => Team match Day for PM & Developers

Week 5: AI models and LLM. Sunday, May 11 @11am EST - with Mentor Austin Sun
Week 6: Cross-functional team collaboration. Monday, May 19 @9pm EST - with Dr. Nancy Li & Mentor Austin Sun
BONUS WEEK: Memorial Day Weekend -- Break No Live Classes, Continue Product Development
Week 7: Product Strategy GUCCI. Monday, June 2nd @ 9pm EST - with Dr. Nancy Li

Week 8: No-code tools, Sunday, Jun 8 @ 10am EST - with Mentor Austin Sun
Week 9: Go-to-market strategy. Monday, June 16 @ 9pm EST - with Dr. Nancy Li

Week 10: PM interview questions and answers. Monday, June 23 @ 9pm EST - with Dr. Nancy Li

Week 11: 1:1 Resume Review (no live group coaching). Schedule 1:1 resume review with my team when you are ready.

Demo day of your final launched product!

Cohort#4

Group developer team match is on Friday May 9th @ 10am EST.

Demo Day Will be on Week 11 at will be on Thursday, July 3rd at 10am EST.  People on the East Coast can go first.

Mentor Austin’s AI PM Office Hours - Every Tuesday @9:00pm EST and Sunday @11am EST(whenever Dr. Nancy is not teaching in the same week)

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

✅ 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 & pitch AI product ideas

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

✅ AI Product Lifecycle

✅ Hypothesis Validation & Scalability

✅ MVP, Launch & Success Metrics

✅ Model Building & Training

🔍 Case Study: Applying AI to Apple Watch – full lifecycle breakdown

🤝 Group Project Kickoff: PMs pitch ideas & form teams with AI designers

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

✅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 4: Advanced AI

⛳Description: Students have a deep dive on advanced AI topics 

💻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 5: AI UI/UX Design and AI Architecture

✅ Microsoft AI UX Principles

✅ LLM Agent Architecture

🖥️ Live Demos: Deploy Deekseek R1 & RAG

🍉 Case Study: AI adoption at Google & Amazon

⚓ Group Project: Build AI products with your team

Week 6: Advanced Prompt Engineering

✅ Prompt design for real AI use cases

✅ Few-shot, zero-shot & multi-turn techniques

🛠️ Live practice: Test & refine prompts in tools like OpenAI Playground

⚓ Group Project: Continue building with your AI team

Week 7: Prototyping & Building with No-Code Tools

✅ No-code tools demo and workshop 

✅ Workflow integration best practices: Learn how to integrate LLMs, APIs, and data pipelines into working prototypes.

⚓ Group Project: Rapid prototyping with AI team

Work hands-on with your developers and designers to bring AI product to life.

Week 8: AI Product Portfolio Development

✅ Turn your launched product into a portfolio that gets noticed

✅ Portfolio structure templates and best practices

🎢Activity: 1:1 expert feedback

Dr. Nancy Li reviews selected portfolios and gives personalized suggestions.

⚓Group Project: Developing AI products with your team.

Week 9-10: Al PM Resume And Al PM Interview

✅Discuss the typical Al PM interview questions and how to answer them

✅Keywords on Al PM resumes

✅Add the Al Product Portfolio projects on the resume

🎢Activity: 1:1 AI PM resume review

⚓Group Project: Actively developing AI products with your AI team

Week 11: GTM - Drive users and engagement of your Al Project

⛵ Leverage Dr. Nancy Li’s network to boost your AI project’s visibility & LinkedIn authority

🍊 Get promo support from her team

💃 Demo Day: Showcase your product & get expert feedback

5.1 Group team match

Team matching will involve filling out forms to understand each member's background and interests, followed by a Zoom call for pitching ideas and forming teams based on mutual interests and skills.

Here is an example of the first cohort’s team match video.

5.2 Early team match

Some PMA students who have product ideas ready, they can start the developer match process early by interviewing developers 1:1. The instructions are in the #PMA-bootcamp-student-only channel.

1. Post your product ideas in ⁠#product-ideas channel. You can see some examples from the first cohort in the same channel.

2. Go to ⁠pma-student-only channel to get access to developer contact and tech assessment results.

Here is the list of 600 AI engineers who already submitted information about their background [Link in the Discord channel]

Among the 600, 180+ people submitted tech assessment homework. My team is still reviewing their tech assessment. The ones marked as green are good ones. Pink ones are rejected. White ones are not reviewed yet. You can find their assessment results here [Link in the Discord channel]

Here is what you can do. Go to the the 180 people assessment results sheet above. Find the developers you like. Then go to the 600+ sheet and look up his background and tech skills. Especially look up people who can start immediately. Let me know their names. Then you can interview several of them to understand their skill set and commitment and get them started right away. Make sure to find multiple ones. so that you are not hanging on one person

3. Tell @marla_110323/@pmachristine_78379 who you want to interview. She will connect you with the developers through email.

4. You tell developers when you want to interview them and schedule your own interivew.

5. Tell me your interview outcome. Then I will officially assign the developers to your team.

EVEN IF some developers are not selected to join your team, but you think they are suitable for PMA developer pool in general, let @marla_110323/@pmachristine_78379 know. she will mark them as re-direct to other teams. If you think they are SO BAD, they don't have the coding skills, NOBODY in PMA should work with them. Let @marla_110323/@pmachristine_78379 know as well, we will remove them all the developer pool as as whole.

The main deliverable is a real life AI product that demonstrates real user engagement. Successful participants will receive certification from my company, acknowledging their contribution to the AI product.

Define the type of help you need, whether it's technical assistance, coaching, or discussing technical challenges. If it's technical challenges, we have weekly office hours done by tech advisors on Wednesdays at 8:30pm EST.

If you need AI PM help, we have weekly AI PM office hours on Sundays at 12pm EST.

Teams will discuss and finalize the project scope, system architecture, and necessary models based on voice of customer interviews and technical evaluations.

Yes, our team will help you commercialize the project after the 11-week bootcamp if choose to take our resources and advice. We will take ownership of 3-10% of the project. See the IP questions for more details.

Product managers will help evaluate and develop ideas through voice of customer interviews and market research. Developers can also pitch your idea during the team matching process. It's very likely. The product managers will have many existing ideas to pitch during the team matching process. It's ok you don't have your own idea. You can join other's team who already have a good idea.

Week 3, we will teach you how to use AI hypotheses to validate your ideas. Our tech advisor and AI advisor will provide further help during weekly office hours.

GTM stands for Go-to-Market strategy, which involves driving user engagement and business side activities to ensure the product's success in the market. This is the differentiator between your AI product and others. Dr. Nancy Li will use her social channels to drive users for you.

The project management functions will be handled by my current students who are trained in both product and project management. There’s no need for additional participants in this area unless otherwise specified.

Yes. If you don’t have your own idea. You can join other teams. Check out all the ideas in the #project-idea channel

Team size and scope will be determined based on the complexity of the project. Simple projects may require fewer resources, while more complex ones will need more team members and a larger scope of work.

If you would like to continue your project after the bootcamp demo day,

Here are several options.

1. Our current developer's contact only lasted until last Friday which gives you (PMA students) 100% IP of the product they developed. If you want the SAME developers to continue your project, you can discuss with them to give them some equity of the company or have them sign a winter internship contract with my company so that you can still own 100% of your IP. In this case, you must discuss with your developers and get their consent to continue the project with or without equity.
2. If you can't get an agreement with your current developers, you can use one of our NEW winter and spring interns to continue the projects and continue to get tech advisor support. Given you are using the company resources, our company will take 3-10% of the equity of your company if you decide to run it as a startup. The specific percentage depends on how much support you need from our team. The type of support we provide in exchange for the equity includes, but is not limited to: GTM strategies and execution, developer supply, and tech advisory.
    

You will get FREE GTM support to launch your product and drive early adoptors. As our company's NORTH STAR metric is the number of highly successful AI products that turn into a real startup. So quality matters a lot to us. Then our startups alumni can hire AI PMs to work for their startup. We will become an AI incubator. == This is the mission of the company. Therefore we will fully support you until you turn into a successful startup.

If this is a brand new idea, you can join the next cohort at 50% discount to work on new AI product ideas. You will get the same access just like other students.

Product Managers in the same team cover software development costs, such as API costs. In the past cohorts, the total post is under $200 in the bootcamp.

Why doesn’t AI PM Bootcamp cover the cost? Because our company and developers don’t own any equity in the AI product. PMs own 100% of the equity. See details in Question 2. In order to maintain the clean 100% IP ownership, PMs need to cover the API cost. It’s also good to practice your experience in managing P&L of your own AI products.