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










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 .pdfThis 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.


“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
“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 storyA Top 3 Online Bootcamp


The TripleTen money-back
guarantee is legally binding.
For details, please see our
Terms of use
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.
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.
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.
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.
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.
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.
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.
The program is 20 weeks long, with new sprints every two weeks.
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.
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.
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.
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:
You can find more details in our Terms of Use.
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.
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.
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.
No. There are no requirements or prerequisites — the bootcamp is open to everyone, regardless of technical background or experience.
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.



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









