Step A: Sign Your Contract

• Search your email for “PandaDoc”

• Sign the trial contract ASAP

• Tag Marla in your name-based Discord group chat once done

• You'll then receive calendar invites for all live sessions

   

• Step B: How to Access Your Course Content 

• Log in here: Kajabi Login

• Use the email and password you set at purchase

• Click “Start Learning Today” to begin

• Your content link: https://www.pmaccelerator.io/products/ai-pm-bootcamp

• Forgot your password? You can reset it at the same link.

    

Step C: Join Our Discord Server

• Create a Discord account here — all program communication happens on Discord, so join ASAP.

• Add two friends on Discord:

  • Lucian → lucianstm

  • Carlos → carlospmaccelerator

  • Marla → marla_110323

  • 📌 How to add friends on Discord

• Complete this within 12 hours of you enrolling the program

🧱 Build Your Discord Profile

[Why?: PM Accelerator Community has a strong culture of sharing and lifting others up. You can connect with your alumni by sharing your LinkedIn and contact information.],

📺 Watch this video for step-by-step guidance.
Update the following:

• Real name as nickname

• Add your LinkedIn photo and contact info

• Add what help you need and what you can offer (e.g., “I can help with AI, IoT knowledge, etc. I need help with accountability”)

• Review and agree to the community rules in #rules,

• Introduce yourself in the community in #alumni 

✅ Step A: Watch the Onboarding Video (Required)

We’ve created a short video to walk you through our system, tools, and common FAQs.

🎥 Click here to watch the onboarding video
📌 Please complete this before attending your live assessment.

✅ Step B: Attend a New Student Assessment (Required)

🗓 Friday at 1:30 PM EST
🔗 Zoom Link: Join here
🔐 Passcode: 154486

What to Expect:
Dr. Nancy will evaluate your:

• Background and experience

• Strengths, weaknesses, and learning gaps

• AI product ideas

You’ll leave with a personalized study plan and clear direction on where to start in the course.

🌟 Step C: 
Watch at least one of last cohort's final demo

Our past cohorts have launched over 30 real-life AI products. Please watch at least one of the past cohort's short demos to understand the expectations after 11 weeks. 

🎥 Click here to watch past cohort's demos

🌟 Step D: Join a Live Training Session (Optional)

If you've already signed your contract, you should have calendar invites. You're welcome to join any of the current cohort's sessions

1. Go to your course content page 

2.  Click the search icon (top-right corner)
3. A search box will pop up

4. Type in keywords like:

   • Quiz

   • Onboarding guides

   • Office Hours

   • Live case studies

   • Or any specific topic

Click this link to see a demonstration

1. Click the drop-down triangle next to the name

2. Select “Show All Channels” to make sure you can see everything in the server

3. Go to the “Product Manager Accelerator” server (top left)

Sample week 2 product idea pitch: https://www.youtube.com/watch?v=j188XrBSwGc

Sample week 4 developer team match: https://www.youtube.com/watch?v=74CNxLh1dXY

Sample week 11 final product launch demo: https://www.youtube.com/watch?v=ZBwjsg_iZN8 

Past cohort's product idea summary can be found here.

✅ LinkedIn & Networking Tasks

1. Add your LinkedIn profile to your Discord profile under “About Me.”

2. List your AI PM Certification on LinkedIn:

   • Title: AI Product Fellow @ Product Manager Accelerator

   • Section: Education or Experience

   • Link to our official LinkedIn page

   • Add this coursework under the description:

     Coursework

     • AI Product Management

     • GenAI
     • LLM
     • AI Eval
     • AI System Architecture Design
     • Prompt- engineering
     • AI UI/UX Design
     • Go-to-market Strategy
     • AI Hypothesis
     • AI Product Development

3. Network with other alumni:

   • Click on their Discord profiles

   • Find and connect with them on LinkedIn

4. Use the secret PMA code in your message:

   “Hi [Name], this is [Your Name] from Dr. Nancy Li’s PM Accelerator Program. My favorite movie is DancingElephant.”

Explore the top-performing AI products built by students from Cohort 1 to 6.

🎥 Watch the full product video demos here: https://www.pmaccelerator.io/products/ai-pm-bootcamp/categories/2157741698

See the product summary here: 1st cohort, 2nd cohort, 3rd cohort 
We highly recommend watching the following standout projects:

🎓 Cohort #1 Highlights

🌟 Audience Favorite
Project 4: Home Renovation AI-Powered Designer/Manager

🌟 Audience Second Choice
Project 8: AI Food Therapist – Discover the Power of Food

🌟 Judge's Favorite
Project 1: Forava – AI-Powered Price Tracking Application

🎓 Cohort #2 Highlights

🥇 1st Place: BrandBoostr – Brand Insight Generator & Brainstorm Partner
🥈 2nd Place: PerfectPlates – AI Recipe & Meal Planning Generator
🥉 3rd Place: AI Interviewer – Personalized AI Interview Prep Tool

🎓 Cohort #3 Highlights

🥇 1st Place: Storytime – Kids Companion for Adaptive, Intellectual Storytelling
🥈 2nd Place: ArtMatchAI – Personalized AI Art Curator for Interior Design
🥉 3rd Place: TravlMate Ai™ – Your AI-Powered Travel Companion

🎓 Cohort #4 Highlights

🥇 1st Place: Noumi.ai  - AI Money Coach  –  Helps adults build smarter financial habits, avoid emotional spending, and stay one step ahead of their wallet
🥈 2nd Place: Vinely AI –  The AI-powered wine assistant that learns your tastes, enhances every meal, and makes pairing a fun experience.
🥉 3rd Place: Perio.AI – Analyze Panoramic DENTAL  X-rays to help understand and explain a person’s stage of periodontal (gum) disease based on bone loss evident in the X-rays then Connect patients with dentists and practitioners based on preferences.  

🎓 Cohort #5 Highlights

🥇 1st Place: MyHandyAI - the AI-powered fixing assistant and beyond
🥈 2nd Place: Kyrah AI - Your Quiet Ally in Emotional Awareness
🥉 3rd Place: EchoLab - Systematic, Emotionally Intelligent Prompting for Brands, Creators & Teams

🎓 Cohort #6 Highlights

🥇 1st Place: MIRA - Voice First Personal Assistant
🥈 2nd Place: StylePilot.ai - Your AI Personal Styling Copilot
🥉 3rd Place: TruNorth: AI career coaching that delivers end-to-end guidance

During the Program (11 Weeks):

As a PMA student, you retain 100% ownership of your product’s intellectual property during the 11-week program.

After the Program:
If you continue using PMA’s engineering resources or seek ongoing mentorship/advisory support, we reserve the right to take 3–10% equity in your project.

Equity share depends on:

• The amount of engineering resources used post-program

• The level of advisory involvement from Dr. Nancy and the PMA team

Dr. Nancy will remain on as an official advisor if equity is granted.

Note for Cohort 2 and Beyond:
Our engineers are hired as interns at PMA, and any work they produce belongs to the company.
If your product continues beyond the program and relies on their contributions, equity discussions may apply.

📌 Please reach out if you have any questions about IP or advisory agreements.

🧠 AI PM Bootcamp – IP Ownership & Vesting Guideline

🔸 Total IP Ownership: 100%

Split among 3 co-creators (can adjust based on team structure):

• Team Lead: 40%

• Team Member 1: 30%

• Team Member 2 : 30%

The split can be negotiated by the team before the product starts development. Meanwhile if some members contribute less than others, the split should be changed based on real contribution.

🔒 Vesting Terms (to ensure fairness)

To prevent inactive members from owning IP if they drop off:

• Vesting period: 12 months total

• Cliff: 2 months after bootcamp ends

• Vesting start date: Immediately after bootcamp ends

• Vesting schedule: Monthly vesting after the 2-month cliff (10 equal monthly installments)

• 0% ownership is vested during bootcamp
  

  Time after Bootcamp	Vested %
  0 – 2 months	0%
  2 months	20%
  3 months	30%
  4 months	40%
  5 months	50%
  6 months	60%
  7 months	70%
  8 months	80%
  9 months	90%
  10 months	100%

  🛡️ Add a "Performance-Based Vesting" Clause (Flexible but Fair)

  ✍️ Suggested Clause:

  “Vesting is contingent on each member’s continued meaningful contribution to the project. If any team member significantly reduces their effort, becomes inactive, or fails to deliver agreed responsibilities, the remaining team members may vote to pause or terminate their vesting schedule.”

  • Decisions require a 2-out-of-3 majority vote.

  • The definition of "meaningful contribution" should be agreed in writing upfront (e.g., 5–10 hours per week, defined tasks, communication standards).

  • All changes must be documented and shared in writing.

   

Each team is formed from participants in the PM Accelerator Program, and typically includes:

• Product Managers – Responsible for business case development, voice of customer interviews, and market research

• Developers – Execute the technical build

• (Optional) Data Scientists & Designers – Added as needed, based on project complexity

👥 Team Size & Composition

• Typical team size: 5–10 members

• Larger-scope projects may be assigned bigger teams

• Teams with multiple PMs and developers tend to launch more ambitious, successful products

✅ Key Recommendations

• At least 2 product managers per team to divide user research, roadmap, and GTM work

• At least 2 developers for faster development and technical redundancy

• Data scientists and designers are optional based on your product goals

📌 The more balanced and collaborative your team, the higher the chance of building a real, launch-ready product. Let us know if you'd like support building your team or scoping your idea!

🚀 Cohort #7 Schedule Highlights (All Times in Pacific Standard Time)

Week 1  (Jan 19—Jan 25)   AI Product Strategy (GUCCI Framework) and AI Basics

Create Winning AI Product Strategy (Mon 1/19 5—6PM PST)

Office hours/Q&A sessions to clarify doubts  (Sat 1/24 8—9AM PST)

💪 Topics:

✅Applying the Gucci Framework

✅Creating a strategic roadmap

🎡Description: Students complete Al Basics modules independently

👩‍💻Dr. Nancy Li will recommend some best Al fundamental course and content for students to study: Machine learning, Deep learning, GenAI, LLM, RAG...

Week 2  (Jan 26—Feb 1)   End-to-End Al Product Management Lifecycle

AI PM Life Cycle Session   (Mon 1/26 5—7PM PST)

Group Project Kickoff: Pitch ideas, and assemble a team of PMs and AI designers  (Tue 1/27 7—9AM PST)

Office hours/Q&A sessions to clarify doubts    (Sat 1/31 8—9AM PST)

✅Al Product Lifecycle

✅AI hypothesis validation

✅AI scalability

✅MVP and Launch

✅Building Models

✅Success Metrics

✅Training Models

Week 3  (Feb 2—Feb 8)    Existing LLM and Al Models, Trade-offs, and Pricing

🔹 5.1 Group Team Match (Week 5)

During this phase, students will:

• Fill out a team match form detailing their background, skills, and interests

• Attend a Zoom team match call where PMs will pitch product ideas

• Teams will be formed based on mutual interest, project scope, and complementary skills

📹 Example: Cohort 1's  team match video.

🔹 5.2 Early Developer Match 

For PMs who already have a clear product idea:

1. Post your idea in the #product-ideas channel (see examples from Cohort 1)

2. Visit the #pma-student-only channel to:

   • Access the developer contact list

   • View tech assessment results for over 600 developers

     • ✅ Green = approved

     • ❌ Pink = rejected

     • ⚪ White = pending review

3. Review tech assessments from the top 180 developers, then:

   • Cross-reference with the 600+ developer sheet for background and skills

   • Prioritize developers who are available immediately

   • Shortlist and interview multiple developers to evaluate skill, commitment, and fit

4. Message @marla_110323 on Discord to:

   • Get connected via email

   • Coordinate and schedule your own interviews

   • Share outcomes so Dr. Nancy can officially assign team members

🛠️ Feedback on Developer Pool

• ✅ Think a developer is a great fit for PMA? Let Marla know — we’ll redirect them to other teams.

• 🚫 Think they’re unqualified? Flag it to Marla — we’ll remove them from the pool entirely.

🎯 Main Deliverable: A Real-World AI Product

The core outcome of the AI PM Bootcamp is the successful launch of a real-life AI product that demonstrates actual user engagement.

✅ This means:

• Your product is functional and publicly accessible

• You’ve gathered real feedback or usage data from users

• You’ve applied key AI PM skills throughout the full product lifecycle

🏅 Certification
Participants who meet these criteria will receive an official certificate from PM Accelerator, recognizing their leadership and contribution to building and launching a real AI product.

This certification can be added to your resume, LinkedIn, and AI product portfolio.

Before reaching out, please define the type of help you need:

🔧 Technical Help (Coding, AI Models, Architecture)

➡️ Join Tech Office Hours with our technical advisors
🕒 Monday/Tuesday at 8:00 PM EST with Dr. Nancy Li or Mentor Adam Zhu.

🧠 AI PM Coaching (Strategy, Roadmap, Product Challenges)

➡️ Join AI PM Office Hours with Dr. Nancy and mentors
🕛 Sundays at 10:00 AM EST with Mentor Mark Walker

Be as specific as possible when posting your question—this helps us support you faster and better.

Team Planning & Scope Finalization

Each team will collaboratively:

• Discuss and finalize the project scope

• Define the system architecture and select the appropriate AI/ML models

• Base all decisions on:

  • Voice of customer interviews

  • Technical feasibility evaluations

This ensures your product is grounded in real user needs and is technically executable within the bootcamp timeline.

Yes. You can commercialize your product with your team as an AI entrepreneur or decide to join another company as an AI PM instead. You take full control of your product.

If you choose to continue working with our team after the 11-week bootcamp, we’re happy to help you commercialize your AI product.

🔧 This includes:

• Continued access to our engineering resources

• Advisory support from Dr. Nancy and the PMA team

• Guidance on go-to-market strategy, user acquisition, and fundraising

📄 In return, PMA will take 3–10% equity ownership, depending on:

• The level of ongoing technical support

• The degree of advisor involvement

Please refer to the IP & Equity Policy for full details.

💡 How Product Ideas Are Formed & Selected

During the team matching process:

• Product Managers (PMs) will bring ideas based on market research and voice of customer interviews

• Developers are also encouraged to pitch ideas—your input is welcome and valued

• Don’t worry if you don’t have an idea yet—there will be plenty of strong ideas from PMs to join and contribute to

🧠 Idea Validation Support

In Week 3, we’ll teach you how to apply the AI Hypothesis Framework to validate product ideas effectively.

You'll also receive ongoing support from:

• Our Tech Advisors and AI Product Advisors

• Weekly office hours to discuss technical feasibility, user problems, and go-to-market direction

By working collaboratively, your team will shape a validated, technically sound, and user-centered AI product.

All product management responsibilities will be handled by current PMA students who have been trained in both product and project management.

📌 There is no need for additional project managers unless explicitly specified by the program team.

This ensures efficient coordination, timeline tracking, and task management across all teams.

👥 Team Size & Project Scope

Team size will be determined by the complexity and scope of your project:

• Simple projects may require smaller teams with fewer roles

• Complex projects will involve more team members and broader responsibilities

Our goal is to ensure that each team has the right mix of skills and capacity to successfully launch and scale their AI product.

🚀 Continuing Your AI Project After Demo Day

If you'd like to keep building after the bootcamp, here are your options:

✅ Option 1: Continue With Your Current Developers

• Developer participation officially ends after Demo Day (last Friday of bootcamp)

• During the bootcamp, you own 100% of the product’s IP

• To continue with the same developers, you have two choices:

  1. Negotiate equity directly with your developers

  2. Have them sign a winter internship contract with PMA
     → This allows you to retain 100% IP ownership

📌 In both cases, you must discuss terms directly with the developers and gain mutual consent.

🔄 Option 2: Switch to New Developers

If your original team can’t continue:

• You can work with one of our new winter/spring interns

• You’ll continue to receive tech advisor support

• Since you're using company resources, PMA will take 3–10% equity in your startup

  • Percentage depends on the level of support you need (e.g., developer hours, GTM execution, tech advisory)

🎯 Our Commitment to Your Startup Success

We provide:

• FREE GTM strategy and launch support (such as, feature your product in our product insider podcast, YouTube shorts, and LinkedIn posts, email your product to our 20,000+ email list and 1500+ PMA alumni list)

• Access to developer and advisor resources

• Continuous help to attract early adopters and grow real traction

Our North Star Metric is:

“The number of highly successful AI products that become real startups.”

We aim to become a startup incubator, and alumni will be able to hire AI PMs from future bootcamps to grow their companies.

📢 Bottom line: We’ll fully support you until your project becomes a successful, scalable AI startup.

💡 Want to Work on a New Idea?

If you’re starting with a brand new product idea, you’re welcome to join the next AI PM Bootcamp cohort at a 50% discount.

You’ll get full access to the program—just like all other students—including:

• Team formation

• Technical and PM mentorship

• Live sessions and office hours

• Product launch support and Demo Day

📩 Reach out to the PMA team on Discord to reserve your discounted spot in the next cohort.

Product Managers (PMs) on each team are responsible for covering the software development costs related to their AI product (e.g., API fees, hosting).
In past cohorts, these costs were typically under $200 total during the bootcamp.

🤔 Why Doesn’t PMA Cover These Costs?

• PMs retain 100% equity and IP of their product (see FAQ Question 2)

• To maintain clean ownership, these costs must be managed independently

• This also gives PMs real-world experience managing P&L, just like they would in a real startup

Covering your own costs ensures your product is fully yours—no strings attached.

IMPORTANT : Before you schedule 1:1 resume review with my resume coach, please bring the list of tech stack from your developers to the live resume review. 

The above video training has details on how to use the tech stack. 

📚 Complete the "how to created a customized AI PM resume in your course portal" first and go to bootcamp materials download to get the resume template and keywords to draft your AI PM resume.
📅 Register here: Resume Review Form
📨 Tell my team in the Discord group chat which mentor you selected. We’ll send you the mentor’s Calendly link in Discord

📨 Please bring the list of tech stack from your developers to the live resume review

📄 After your review, post your resume in the Discord group chat for record-keeping.

✅If you signed for PMA program (our signature job hunting program) which gives you a 1:1 resume review already, then you are qualified for another 30min resume review session for optimize your resume for AI PM. 

✅If you are not PMA student and only attend AI PM bootcamp, you only qualify for one 60min 1:1 resume review

If we are currently in the middle of Cohort 5 and the next one is Cohort 6, new students can officially enroll in Cohort 6 and get early access to join Cohort 5 for free.

By joining Cohort 5 early, they can:

✅ Attend live trainings alongside current Cohort 5 students

✅ Watch recordings

✅ Access all resources that Cohort 5 students receive

✅ Even join an existing Cohort 5 team

📚 However, if they want to join a Cohort 5 team, they must reach out to the team lead directly with a message like this:

"Hi, I’m enrolled in the next cohort (Cohort 6), and I’d love to help out with your team in Cohort 5. I’m available to contribute approximately [X] hours per week. My main goal is to get hands-on experience and understand the process - not to take over any responsibilities from current Cohort 5 members. I’m happy to help with [insert your skills/areas of contribution], or support wherever the team needs an extra hand. I’ll do my best!"

The team lead will then decide if and how this student can support the project and must officially accept them.

📄 You can check project ideas from both current and past cohorts here:
👉 Cohort Project Ideas Spreadsheet

📢 Here is the latest replay from the current Cohort 5 team match session:
📽 https://youtu.be/8fubDKsTSd8