Jessica Powers
Before
Customer Service
Representative
Now
AI Research Analyst
OnlinePart-time

AI Product Management
Bootcamp

Become an AI Product Manager in just 5 months. Train for a remote-friendly, AI-ready tech career.

Book a call

Cohort #5 starts

Award-winning online job training and support designed for your real life

$85,000average entry-level pay for an AI Product Manager*
2,600+graduates
80%of TripleTen grads had zero tech background
*Source: Glassdoor.com
Our guarantee: job in tech or 100% money back*
No IT or STEM
background needed
4.8/5 rating across
2.5k+ reviews

*Get a relevant job in 10 months or your tuition back when you complete our included Career Services package and make a good-faith effort to find a job. Details in our Terms of Use.

What is an AI Product Manager?

AI Product Managers lead the strategy, development, and launch of products and features powered by artificial intelligence and machine learning. They blend strong product instincts with deep technical AI knowledge.

Remote-friendly career: according to the World Economic Forum, 48% of companies plan to hire remote AI talent internationally

The AI Product Management skillset leads to job titles like:

AI Product ManagerDrives strategy and owns the full lifecycle of AI-powered products, connecting technical capabilities to business goals and user needs. Shapes requirements, prioritizes features, partners with data scientists and engineers, and keeps ethical considerations front and center.
$85,000starting pay
Machine Learning Product ManagerKeeps data scientists, ML engineers, and business stakeholders on the same page while owning the ML product lifecycle end to end. Nails down model requirements, tracks success metrics, manages data pipelines and translates tech into value.
$120,000starting pay
Technical Product ManagerRuns technical products through close collaboration with engineering, building out roadmaps for software, infrastructure, and developer tools. Turns complex requirements into features that align with business goals, without sacrificing performance or scalability.
$75,000starting pay
Product Owner, AI/MLOwns the AI/ML backlog, hammers out detailed requirements with ML engineers, and sets the bar for model-driven features. Stays deep in sprint planning, pushes prioritization by business impact, and makes sure every deliverable actually meets the mark on quality and strategy.
$110,000starting pay
Sources: Glassdoor.com
and US Bureau of Labor Statistics

AI product manager salary growth potential

$85,000
To start
$100,000
Median pay in 1–3 years
$120,000+
In 3+ years
Sources: Glassdoor.com

You after TripleTen

AI Product Manager
LinkedIn
LinkedIn
GitHub
GitHub
$85,000
Expected salary
Hard Skills
Figma
Figma
Miro
Miro
Claude
Claude
Jira
Jira
Notion
Notion
Google Analytics
Google Analytics
ChatGPT
ChatGPT
Midjourney
Midjourney
Lovable
Lovable
Product strategy
Market research
Roadmapping
Data analysis
User research
UX/UI research
Unit economics
A/B testing
AI/ML concepts
Agile & Scrum
Competitor research
Prompt engineering
Soft Skills
Critical thinking
User empathy
Decision-making under uncertainty
Cross-functional communication
Problem framing
Stakeholder management
Learning agility
Education
TripleTen AI Product Management Bootcamp

Start a remote career in the AI PM: 5 months part-time

1Master product and AI concepts through bite-sized, interactive lessons and 1-on-1 instructor support.
2Choose from four capstone projects and graduate with a strong portfolio that proves your skills.
3Work with a dedicated career coach to polish your resume, ace your interviews, and land your next role.

Our grads get great jobs with both startups and industry giants

5 months of career-focused training
Continuously updated
Built with input from employers

A hands-on program designed to equip professionals with the skills needed to define, build, and launch AI-powered products — from foundational PM frameworks and ML concepts to advanced strategy, ethical AI, and career readiness.

Download .pdf
Introduction into the world of IT
2 weeks

This sprint lays the foundation for understanding the tech landscape, core PM principles, and how modern software products are built.

Topics: Software development basics, how tech companies are structured, the PM role.

Project: Apply the Jobs-To-Be-Done framework to a product you use daily and identify a core user problem worth solving.

Discovery, Problem Framing & Al Opportunity
2 weeks

Develop a strategic product thinking mindset and learn to identify problems worth solving with AI.

Topics: Problem space vs. solution space, Jobs-To-Be-Done, Lean Startup principles, AI capabilities and limitations.

Project: Conduct 3 user interviews, create user personas and a journey map, and begin competitive analysis for your case study.

Strategy, Roadmapping & Al Essentials
2 weeks

Master discovery techniques and build your first strategic product roadmap while gaining a foundational understanding of how AI and ML work.

Topics: Opportunity assessment, SWOT analysis, types of roadmaps, prioritization frameworks, intro to AI/ML/Deep Learning/Gen AI.

Project: Build a Product Roadmap and write a plain-language explanation of a core AI concept for a non-technical audience.

Data, Metrics & Ethical AI
2 weeks

Learn to make evidence-backed product decisions and understand the ethical implications of building with AI.

Topics: North Star metrics, qualitative vs. quantitative data, A/B testing, bias, fairness, and transparency in AI, data quality and labeling.

Project: Design a metrics dashboard, run an A/B test experiment, and finalize the product strategy and roadmap for your case study MVP.

Agile, Execution & ML Deep Dive
2 weeks

Understand Agile methodologies and how to work effectively with engineering teams, while going deeper into how machine learning models are built and evaluated.

Topics: Scrum, Kanban, sprint planning, backlog refinement, supervised vs. unsupervised vs. reinforcement learning, model lifecycle.

Project: Write 10 user stories with acceptance criteria and a basic PRD for a non-AI feature.

Advanced Roadmapping, AI Feature Design & Technical PRD
2 weeks

Master advanced prioritization and learn the unique challenges of designing and documenting AI-powered features.

Topics: Kano and ICE frameworks, technical debt vs. new features, AI UX/UI (trust, transparency, error handling), data pipelines, model deployment.

Project: Create a wireframe for an AI feature in Figma or Miro and write a complete PRD including edge cases and success metrics.

Advanced Data, Model Evaluation & AI Product Strategy
2 weeks

Dive into advanced experimentation, AI-specific success metrics, and the strategic considerations of building AI products at scale.

Topics: Model evaluation metrics, experimentation frameworks, AI product strategy, competitive moats in AI, build vs. buy vs. partner decisions.

Project: Evaluate a live AI product's model performance and draft a strategic recommendation for its roadmap.

Execution, Go-to-Market & Ethical AI
2 weeks

Learn how to take a product from build to launch, align cross-functional stakeholders, and address advanced ethical AI challenges.

Topics: GTM strategy, launch planning, pricing and positioning for AI products, advanced bias and fairness considerations, AI regulation and compliance.

Project: Build a go-to-market plan and ethical AI audit for your case study product.

Career Preparation & Portfolio Building
2 weeks

Translate your program experience into a compelling PM portfolio and prepare for the AI product management job market.

Topics: PM interview prep (behavioral + product sense), resume and LinkedIn optimization, portfolio case study structure, networking strategies.

Project: Complete and polish your PM portfolio with at least two case studies and conduct a mock PM interview.

Capstone & Final Presentation
2 weeks

Apply everything you've learned to define, design, and present a complete AI product from problem discovery to launch strategy.

Project: Design, document, and present a full AI product case study — including research, roadmap, PRD, metrics, and GTM plan — to a panel of industry reviewers.

Curriculum partners

Cutting-edge AI cloud infrastructure provider hosting the newest tools and models from top developers.

AI data partner leveraging a global network of experts and data production technologies.

Individual attention
and personalized guidance

Regular
tutoring
Professional instructors with years
of industry experience will go over challenging concepts and tasks
on demand.
Personal
learning coaches
A personal manager will guide you through the bootcamp, help you stay on track, or even adjust the program to better fit your life.
Career coaches + Placement coordinator
Become awesome at job hunting! Your bootcamp includes live interview prep, resume/portfolio review, and job search assistance.

Will I get a certificate?
Of course! It’ll look great on your resume and LinkedIn :-)

2,600+ TripleTen alumni. 80% from a non-STEM background!

Marlon Nunez
Before
School Operations Director
Now
Technical Support Engineer

“The platform itself and the community that TripleTen created — whether it was via TripleTen Hub or the office hours — were super valuable, and the instructors were always super helpful. There was always support there.”

Desiree Bradish
Before
Graphic Designer
Now
Full-Stack Engineer

“The whole stack that TripleTen offers is all in the JavaScript ecosphere, and it all fits together really well. It was highly sought after in a lot of jobs, so I decided that I definitely wanted to go in that direction.”

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the instructors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Dallin SlyDallin Sly

“The time commitment was another big thing because I didn't have to quit my job or anything. I could keep working those 40 hours I was, and then also try to fit it into my schedule while I was watching my kids.”

Full story
Marlon Nunez
Before
School Operations Director
Now
Technical Support Engineer

“The platform itself and the community that TripleTen created — whether it was via TripleTen Hub or the office hours — were super valuable, and the instructors were always super helpful. There was always support there.”

Desiree Bradish
Before
Graphic Designer
Now
Full-Stack Engineer

“The whole stack that TripleTen offers is all in the JavaScript ecosphere, and it all fits together really well. It was highly sought after in a lot of jobs, so I decided that I definitely wanted to go in that direction.”

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the instructors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Dallin SlyDallin Sly

“The time commitment was another big thing because I didn't have to quit my job or anything. I could keep working those 40 hours I was, and then also try to fit it into my schedule while I was watching my kids.”

Full story
Marlon Nunez
Before
School Operations Director
Now
Technical Support Engineer

“The platform itself and the community that TripleTen created — whether it was via TripleTen Hub or the office hours — were super valuable, and the instructors were always super helpful. There was always support there.”

Desiree Bradish
Before
Graphic Designer
Now
Full-Stack Engineer

“The whole stack that TripleTen offers is all in the JavaScript ecosphere, and it all fits together really well. It was highly sought after in a lot of jobs, so I decided that I definitely wanted to go in that direction.”

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the instructors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Dallin SlyDallin Sly

“The time commitment was another big thing because I didn't have to quit my job or anything. I could keep working those 40 hours I was, and then also try to fit it into my schedule while I was watching my kids.”

Full story
Read more real student stories

4.8/5 across 2,500+ reviews on trusted platforms

A Top 3 Online Bootcamp

Money-back guarantee

We believe that you’ll get into tech in 10 months. In fact, we put money on it.

1Graduate, completing
the included career prep
and coaching programs.
2Apply to relevant jobs
and stay in touch with your career coach
3If you don’t have a job after 10 months, we will refund 100% of your tuition

The TripleTen money-back
guarantee is legally binding.
For details, please see our
Terms of use

We also have a fair refund policy

After starting our AI Automation Bootcamp, you have 2 weeks to withdraw with a 100% refund. After that, you can get a partial refund on a transparent schedule. Check our Terms of Use for more info.

What is an AI Product Management bootcamp?

The AI product management program is a hands-on training that teaches you how to define, build, and launch AI-powered products — covering PM fundamentals, ML concepts, data strategy, and ethical AI, with real projects and a portfolio to show for it.

What do you learn in the AI PM course?

You'll learn user research, roadmapping, prioritization, Agile execution, how ML models work, AI-specific UX, metrics, ethics, go-to-market strategy, and how to write PRDs for AI features — everything needed to manage AI products end to end.

Does AI PM require coding?

No. AI PMs don't write code, but they do need technical fluency — understanding how models are trained, what data they need, and why they fail. The goal is to speak confidently with engineers and make informed product decisions, not to build the models yourself.

What’s the difference between a Product Manager and an AI Product Manager?

An AI Product Manager has all the core skills of a traditional PM but with an added layer of specialization. They understand AI/ML concepts, know how to identify opportunities for AI, can assess the feasibility of AI projects, and are equipped to handle the unique ethical and technical challenges of building intelligent products.

How is the curriculum structured?

The program runs over 20 weeks across 10 sprints, each building on the last — starting with PM fundamentals and AI basics, moving through strategy, data, Agile execution, and advanced AI concepts, and finishing with career prep and a capstone project.

What projects will I work on?

Real, hands-on deliverables throughout — user interviews, journey maps, product roadmaps, PRDs, A/B test designs, AI feature wireframes, a go-to-market plan, and a full capstone case study presented to industry reviewers.

How long does TripleTen's AI PM Bootcamp take to complete?

The program is 20 weeks long, with new sprints every two weeks.

What makes TripleTen's AI Product management program one of the best?

TripleTen program uniquely combines core PM skills with genuine AI/ML literacy. You graduate with a real portfolio, practical frameworks, and the technical fluency to work confidently on AI products from day one.

What jobs can I get after the AI product manager course?

Graduates are prepared for roles like AI Product Manager, Product Manager, Associate PM, Technical PM, and AI Strategy Consultant. With the AI layer, you're also well-positioned for roles at AI-first companies, enterprise teams building AI features, or startups where product and technical overlap heavily.

Is it hard to find a job as an entry-level AI Product Manager?

While senior roles are more common, the demand for AI-savvy product thinkers is exploding. Companies are increasingly hiring for Associate and entry-level AI PM roles to build their talent pipeline. Our program, with its hands-on portfolio projects and career support, is specifically designed to help you break into this field, even without prior experience.

What if I don’t get a new job?

It does happen — but if you don’t get a new tech job within ten months of graduation, we will refund 100% of your TripleTen tuition

Conditions do apply — to get your refund you have to:

  • Сomplete the program in a timely manner
  • Actively participate in a job search, applying to relevant positions and going through interviews.
  • Keep in touch with your career coach.
  • Be a U.S. resident.

You can find more details in our Terms of Use.

Is an AI PM bootcamp worth it?

If you're looking to break into product or level up your PM career, yes — especially now. AI literacy is quickly becoming a baseline expectation for PMs, not a bonus.

A structured bootcamp gives you frameworks, real projects, a portfolio, and a credential faster than learning on your own.

How much does the program cost and what are the payment options?

The program starts at $9,500 (upfront). There's no enrollment fee, and three payment options are available: 

1. Upfront before you start.
2. Monthly installments while you study.
3. Learn now, pay later option.

What career services are included?

The program includes career coaching, portfolio review, 1-on-1 mock interviews, and resume and cover letter review. You also get a dedicated placement coordinator to help with your job search from start to finish.

Does TripleTen PM program have an admissions process?

No. There are no requirements or prerequisites — the bootcamp is open to everyone, regardless of technical background or experience.

Is a bootcamp enough to get a job?

It's a strong launchpad. Nearly two-thirds of TripleTen graduates secured a job within the first 10 months of their job search, and 88% of graduates who landed roles in 2024 were still thriving in their new careers a year later.

Success depends on your effort and commitment to the job search — but the career support, portfolio projects, and money-back guarantee are all designed to maximize your odds.

Close

Learning that fits your life, with constructive feedback and top‑notch support.

Learn and practice anywhere through our online platform
Continued access to concepts and coding practice even after you graduate!
There are no set lesson timelines or mandatory meeting times
Learn at your own pace, with access to regular live tutoring and group-work sessions.
There are hard project deadlines to keep you on track
Don’t stress! There’s a lot of built-in flexibility for when life happens.
Get unstuck quickly
Human and AI support is available right on the learning platform, so you can keep making progress.
Meet with instructors
Office hours are available daily: drop in and get answers.
TUE14
Office hours w/ Serge2 PM — 3 PM
Final project tutoring w/ Alice4 PM — 6 PM
Use AI hints
The learning platform’s built-in AI provides instant help with coding tasks.
Ask your AI assistant
Dot, your friendly AI helper, helps guide you and adapts to your learning style.

Practice and improve your skills with personal feedback from your instructors

Learn skills the way you’d learn on the job—with detailed feedback from experienced AI Automation professionals.

Reach out to your learning coach to talk through any issues you encounter.
They’ll keep you motivated and help problem-solve.

Close

Become a magnet for recruiters
with a career coach
and AI job-hunting tools

Outstanding LinkedIn profile to attract recruiters
Build connections with step-by-step networking help
Polished GitHub portfolio to impress technical recruiters
AI-powered job applications to speed up the search
Get a personalized job search strategy
Know your worth, and be ready to tell your story. Students report a surge in recruiter messages once coaches rework their profiles.
Interview with confidence
Practice interviewing in live sessions with industry experts. Be ready for any question after HR and technical mock interviews.
Get hired faster with AI on your side
From AI-powered job applications to offer negotiation support, we help maximize your “application-to-offer” conversion rate.
Close

Get help and make progress—at any time of day or night

Instructors, online 10am–2pm
Learn from people working in tech
All of our instructors have 5+ years experience in their field. They’ll tell you exactly what worked, and why, on each project.
Hold group office hours
Tutor you 1-on-1
Review and give feedback
Suggest additional practice
Serge
Aimee
Andrew
Max
Dot, online 24/7
Get unstuck quickly with AI
Our friendly AI assistant, Dot, gives you instant hints and guidance (without giving away answers). It even adapts to your learning style.
Explains theory
Reviews coding tasks
Explains code errors
Summarizes content
94% of students are big fans of Dot’s support

David
You’ve achieved something
unique with Dot—it adapts to
my learning style like a real
mentor.

Steven
I like how Dot guides you
instead of giving answers—
that’s how you really learn.

Lora
Dot is so helpful I just found
what I'm going to name my
next child...