Certified AI Product Innovator
Get AI super powers to grow in your PM job.
Upon completing this course, Product Managers are able to leverage AI tools for customer discovery using synthetic users and interview simulations, research synthesis, and new AI feature development. They can identify workflows and build Agentic AI automations across the five dimensions of the product development lifecycle. They can build, test, and iterate working prototypes and MVPs using vibe-coding tools.
Alongside these execution skills, they develop the judgment to distinguish where AI genuinely accelerates product work, and to evaluate whether an AI product performs as expected, before and after launching it in market.
This is a hands-on practical bootcamp with a mixture of lecture, exercises, and applied projects that leaves participants empowered to apply AI techniques to their product management jobs.
Certified by Spark Engine.
Starting with an understanding of how AI technologies work, the course gradually dives into several Product Management areas that AI can accelerate, expand, and simplify. These are the core skills that AI PMs need today to be successful in their job and in driving product innovation.
What you will learn
CAIPI is structured into six modules. Each one is designed to produce a tangible outcome you can use immediately in your work. By the end of the course, participants are able to:
Discovery and customer research. Run AI-assisted customer discovery with synthetic users, synthesize discovery outputs and market research, surface patterns and generate sharper insights. Frame problems more clearly and move from raw data to a well-defined problem statement in significantly less time.
Ideation and solution design. Use AI to expand the solution space and to accelerate problem-solution fit exploration. Evaluate ideas more systematically across the product development lifecycle with functional prototypes and MVPs using vibe-coding techniques, without requiring engineering resources.
AI agents and agentic workflows. Design, delegate to, and oversee AI agents that work independently. Build agents and automations that handle recurring PM work like triaging feedback, clustering feature requests, prepping release notes, and keeping dashboards and briefs up to date.
Responsible use of AI. Distinguish between trustworthy AI outputs and hallucinations. Apply techniques to improve accuracy, minimize errors, and know when AI is genuinely helpful versus when it can mislead. Understand AI risks and methods for mitigation.
Repeatable AI-augmented workflows. Apply a consistent, reusable workflow for using AI across the five PDLC dimensions: Discover, Define, Design, Drive, and Deliver. Define a Skill library and apply Context Engineering methods to your work environment.
Strategic judgment about AI. Understand the Accelerate, Expand, and Simplify framework for evaluating where AI creates genuine value in a product context. Understand the pricing and economics of scale differences of AI products versus traditional SaaS approaches.
AI for Product Managers
For PMs who seek to develop AI skills to accelerate, expand, and simplify their job and launch innovative AI products. Get certified and demonstrate your AI expertise.
How does it work?
Self-paced modules: 6 modules in 2.5 weeks. Complete them all for the full CAIPI certification.
Hands-on practice: Work at you product idea and build the practical experience, from understanding AI foundations to incorporating AI techniques into your daily PM job to drive innovation.
Online training modules: Each module has lessons, videos, and support materials to learn about advanced techniques and new practices. You can take only the lessons you need, or consume them all in any order.
One-on-one coaching: Think of this as your personal AI coach to review the work you have accomplished and guide you towards the next steps.
CAIPI Certification: Earned upon completion of the all modules.
AI for Product Teams
For teams need to foster AI competencies and develop a shared set of AI agents for customer discovery, product planning, solution validation, and evaluation.
How does it work?
Trainer-led sessions: in-person or virtual delivery – 2 days or 3 half-days.
Hands-on practice: Participants work at a new product idea and build the AI practical experience, from context engineering and vibe-coding to developing AI agents.
Whole team training: Use this as team development activity or an off-site workshop. Support your team in learning and applying AI techniques and agents to streamline your workflow and accelerate product innovation.
Online training modules: Participants also get access to the lessons, videos, and support materials available in the online course.
CAIPI Certification: Earned upon completion of the training program.
What is a Certified AI Product Innovator?
A Certified AI Product Innovator is a product manager who has demonstrated the ability to integrate AI meaningfully across every stage of the product development lifecycle, from discovery and problem framing through ideation, prototyping, delivery, and evaluation. They know how to work with AI agents, build repeatable workflows, and apply context engineering to get consistent, high-quality outputs from the tools they use every day.
Critically, they also bring strategic and ethical judgment to the work: they can evaluate where AI genuinely creates value, where it introduces risk, and how AI-native products differ economically from traditional software.
A Certified AI Product Innovator isn’t just AI-aware. They are AI-capable, which means they ship faster, decide with better evidence, and operate at a level of leverage that a traditional PM workflow cannot match.
What do you get?
Earn a professional certificate in AI product innovation. Learn essential skills and strategies for driving innovation, building innovative products, and managing AI agents using AI techniques and tools
Discover how innovative Product Managers launch new ideas through AI tools and agents.
Become an AI innovation manager in any company, with the ability to identify opportunities and workflows to employ AI agents and improve product innovation practices.
The course revisits each stage of the product management and shows how to use AI tools to maximise the value of the outcomes. Valerio gives practical real world experience and his own personal approaches to using AI as a tool in product management. We learned what AI does best and when it should be used with caution. Most valuable, the class is hands-on with exercises that need to be turned in. The course culminates in having to Vibe code a real prototype. All in all, you use the tools and prompts as you would in your daily work life. Thus, you see the value in their application.
Kevin
I recently completed a course on AI for Product Managers, and it reinforced a key reality: and project management is deeply connected to AI. The future of product and project management is deeply connected to AI. Understanding how to define AI-driven use cases, collaborating with technical teams, and delivering value through data is becoming essential. I’m excited to combine: • User-centric thinking • Agile delivery • AI-powered solutions to build impactful and scalable products.
Arnaud
Excellent course with hands on practical examples of how to use AI effectively in product management. Valerio is an excellent trainer.
Donal
Valerio was incredibly generous with his experience and the resources he provided – I’ve started implementing everything already. I would suggest letting groups work on a real business problem rather than a fictional one to increase engagement and practice making more realistic decisions. I genuinely enjoyed all parts of the two-day workshop.
Shea
Based on the Spark Engine Method
Product Thinking is based on the 5 Dimensions of Product Innovation, a framework for Product Managers to innovate solutions to problems that are not obvious.
Learn more about the Spark Engine method.
