Best AI Courses for Product Managers
Artificial intelligence (AI) is defining modern product strategies. Smart customer insights, AI-driven road maps, and generative AI design workflows are shaping the most successful products in the digital world. These products are being built by teams that do not just understand AI but also know how to make AI work for them.
In this article, we will feature the best AI courses for product managers that will empower you with the tools, strategy, and mindset required to excel in this AI-driven product design and management era.
A Look at the Best AI Courses for Product Managers
AI programs
MIT xPRO Designing and Building AI Products and Services
Kellogg AI-Driven Product Strategy
Kellogg Data Strategy for Generative AI Platforms
Berkeley Artificial Intelligence
Rotman Generative AI for Business
Harvard Medical School AI in Health Care
MIT xPRO Applied AI in Healthcare
MIT xPRO Executive Certificate in AI Strategy and Product Innovation
Kellogg Advanced Certificate in AI and Product Strategy
Senior executive programs
Kellogg Chief Product Officer Program
MIT xPRO Leadership Program in Medical Technology and AI
Programs in UI/UX
Imperial Professional Certificate in UI and UX Design
These are the AI programs redefining product management today—built to help you upskill, strategize, and lead with confidence in an AI-first world.
MIT xPRO Designing and Building AI Products and Services
Duration: 10 weeks
Format: Online + live online
Ideal for: Product managers, UX leads, and technical professionals who want to learn to conceptualize and build AI-driven solutions that enhance customer experience and business value.
Program overview:
The MIT xPRO Designing and Building AI Products and Services program provides hands-on exposure to AI product management frameworks to navigate real-world challenges. Participants get an in-depth understanding of the four-stage design process through practical projects that mirror how AI and generative AI are developed and deployed in the market.
Key takeaways:
- Build practical fluency in AI product design—from problem discovery to deployment.
- Understand how neural networks and prompt engineering improve product outcomes.
- Apply real-world case studies to balance feasibility, ethics, and market viability.
ROI for participants:
- Develop a shared language with engineering and data science teams.
- Identify opportunities for AI-powered innovation across your product ecosystem.
- Create a portfolio-ready project showcasing end-to-end AI PM execution.
“The best part of the MIT xPRO Designing and Building AI Products and Services program was the opportunity to apply AI concepts—like GANs, superminds, and responsible AI principles—to a real-world problem. Designing streck, a platform that automates foundational English and math learning, helped me bring together everything I learned—from technical architectures to ethical guardrails—and shape it into a viable, scalable solution. The structured workbooks, especially the double diamond framework and AI design process, helped me avoid the ‘prototype trap’ and think like a product designer rather than just an AI enthusiast.”
—Shamini Wijay, President, Saga Consultants, Inc
Want to explore the program? Here’s a comprehensive FAQ guide that answers all your questions about the program structure, curriculum, learning journey, and benefits.
Kellogg AI-Driven Product Strategy
Duration: 8 weeks
Format: Online
Ideal for: Product managers, designers, and growth leaders seeking to strengthen their AI strategy and product vision while mastering generative AI integration across the life cycle.
Program overview:
The Kellogg AI-Driven Product Strategy program equips you to lead end-to-end product strategy powered by generative AI—from opportunity analysis and road map planning to pricing and go-to-market execution.
Key takeaways:
- Integrate AI and generative AI into core product planning and customer experience design.
- Apply frameworks to monetize innovation through AI-powered PLG strategies.
- Use real-world case studies to refine product positioning, pricing, and storytelling.
ROI for participants:
- Elevate your product management skill set for AI-centric environments.
- Build data-informed decision frameworks that enhance life cycle efficiency.
- Learn directly from one of the world’s top voices in AI product leadership.
Kellogg Data Strategy for Generative AI Platforms
Duration: 6 weeks
Format: Online + live online
Ideal for: Product leaders, data strategists, and innovation managers focused on designing AI-powered ecosystems and data infrastructure.
Program overview:
This Kellogg Data Strategy for Generative AI Platforms program explores how to operationalize data for generative AI. Participants learn to integrate data pipelines, governance systems, and KPIs that enable product innovation at scale.
Key takeaways:
- Develop frameworks for enterprise-wide AI platform strategy.
- Apply real-world case studies to design scalable, compliant data ecosystems.
- Learn to measure product performance through AI-driven analytics.
ROI for participants:
- Build literacy to partner effectively with AI and data science teams.
- Design sustainable data architectures for future-ready products.
- Strengthen your role as a product leader in AI transformation initiatives.
“I obtained incredible value from live session interactions with faculty members and classmates. The sessions provide amazing opportunities to understand how real-life data strategy and AI products are built and turned into valuable assets.”
—Felipe Manquez, Regional Customer Intelligence Lead, Inchape
Berkeley Artificial Intelligence
Duration: 2 months
Format: Online + live online
Ideal for: Mid- to senior-level product managers and strategists seeking to integrate AI strategy into business and product planning.
Program overview:
The Berkeley Artificial Intelligence program offers a strategic view of AI adoption across industries. Participants study real-world case studies and business models to identify opportunities for AI-powered innovation within their product portfolios.
Key takeaways:
- Evaluate AI’s business impact through frameworks and applied analytics.
- Identify high-impact areas for AI integration within the product life cycle.
- Understand AI ethics, risks, and long-term governance for sustainable growth.
ROI for participants:
- Strengthen your ability to champion AI strategy across product teams.
- Translate insights from AI case studies into market differentiation.
- Build executive credibility as a strategic AI advocate.
“The best part of Berkeley’s Artificial Intelligence program wasn’t just learning the technology but also understanding AI concepts through real-world business scenarios. I learned how to identify the opportunities, uncover business value, and explore AI integration within an organization. The case studies and practical frameworks made the content especially actionable and relevant.”
—Courtney Tang, Program Manager, Cisco Services Hong Kong
Read more about how Berkeley’s Artificial Intelligence program equipped participants with strategic frameworks and cutting-edge AI expertise to make an impact in the real world.
Rotman Generative AI for Business
Duration: 6 weeks
Format: Online + live online
Ideal for: Product leaders, innovation strategists, and entrepreneurs exploring generative AI applications for new product creation and market growth.
Program overview:
The Rotman Generative AI for Business program delivers practical insights into how generative AI transforms industries. Through case studies featuring global organizations, participants learn how AI can power design, forecasting, and customer engagement to build competitive advantage.
Key takeaways:
- Discover AI-powered business models and monetization strategies.
- Assess governance, data ethics, and scalability in AI PM contexts.
- Build a road map for AI-driven transformation and value creation.
ROI for participants:
- Drive real-world product innovation using generative AI and data analytics.
- Build strategic literacy in AI governance and implementation.
- Lead the shift from experimentation to enterprise-wide AI adoption.
Harvard Medical School AI in Health Care
Duration: 8 weeks
Format: Online + live online
Ideal for: Product professionals, innovators, and strategists in healthcare and digital health aiming to develop AI-first solutions.
Program overview:
This Harvard Medical School AI in Health Care program blends AI theory with real-world product development. Participants explore generative AI, machine learning, and data ethics in clinical and startup contexts while working on a capstone project that simulates bringing an AI healthcare product to market.
Key takeaways:
- Learn to design and evaluate AI-driven healthcare products end-to-end.
- Examine AI development pipelines, model validation, and ethical design.
- Gain exposure to case studies from medtech industry pioneers.
ROI for participants:
- Build the ability to translate AI innovation into tangible healthcare impact.
- Strengthen collaboration with cross-functional teams in medtech and policy.
- Gain strategic fluency to guide AI PM within regulated environments.
Manleen Chhabra, Senior Manager, Known, commented that the program enhanced her strategic understanding of the ways AI is poised to transform healthcare, as she said in her LinkedIn post:
Kellogg Chief Product Officer Program
Duration: 12 months
Format: Online + live online + in-person
Ideal for: Senior product executives and directors preparing for Chief Product Officer or VP roles leading large-scale, AI-powered portfolios.
Program overview:
Led by Professor Mohanbir Sawhney, the Kellogg Chief Product Officer Program prepares leaders to scale innovation and drive strategic transformation. It blends leadership frameworks, data analytics, and AI strategy to help executives lead with vision and operational precision.
Key takeaways:
- Master advanced product leadership and organizational growth strategies.
- Use AI-driven insights to optimize portfolio management and customer experience.
- Strengthen your influence with design thinking and cross-functional storytelling.
ROI for participants:
- Transition confidently into executive-level AI product leadership.
- Drive digital innovation and long-term growth through data-informed decisions.
- Join Kellogg’s global network of C-suite product leaders.
The Kellogg Chief Product Officer Program changed Claudio Guerrini’s (Director of Product Management at NETSCOUT) perspective on creating business value in the AI-first business world. In her LinkedIn post, she said:
MIT xPRO Leadership Program in Medical Technology and AI
Duration: 7 months
Format: Online + live online
Ideal for: Experienced medtech and R&D professionals seeking to merge AI strategy with product innovation and market growth.
Program overview:
The MIT xPRO Leadership Program in Medical Technology and AI focuses on innovation in medical device development and healthcare technology. Participants learn to lead product design and R&D efforts that apply AI to solve global health challenges.
Key takeaways:
- Understand the AI impact, and harness it to bolster medtech product design and testing.
- Develop leadership and regulatory insights for innovation in healthcare.
- Collaborate on real-world capstone projects with immediate impact.
ROI for participants:
- Lead end-to-end AI-powered medtech product life cycles.
- Reduce time to market through smarter, data-driven decision-making.
- Join MIT’s global network of healthcare and innovation leaders.
“I liked the live session where a mix of leaders from diverse backgrounds provided broad perspectives. Additionally, it was informative to hear the perspectives of industry leaders as they navigate challenges in their respective fields. It helped to bring real-life examples to give context.”
—Darren Peters, Client Partner, Infosys
Imperial Professional Certificate in UI and UX Design
Duration: 6 months
Format: Online
Ideal for: Product managers and designers seeking to create seamless, AI-powered user experiences and interactive digital products.
Program overview:
The Imperial Professional Certificate in UI and UX Design equips learners to combine user-centered design with AI-enhanced personalization. Participants engage in hands-on projects that simulate designing intelligent interfaces and experience how data informs iterative design decisions.
Key takeaways:
- Apply AI tools to create adaptive, predictive, and human-centric designs.
- Learn prompt engineering for rapid prototyping and UX optimization.
- Understand data-driven personalization for modern digital products.
ROI for participants:
- Enhance UX decision-making with AI product management fluency.
- Lead collaborative design-to-development workflows effectively.
- Build innovative portfolios that demonstrate AI-integrated product thinking.
MIT xPRO Applied AI in Healthcare
Duration: 20 weeks
Format: Online
Ideal for: Medtech and healthcare product professionals aiming to lead AI-powered clinical and operational innovation.
Program overview:
The MIT xPRO Applied AI in Healthcare program is a dual-course journey bridging AI design and leadership for healthcare contexts. Participants explore AI in product development, patient outcomes, and regulatory compliance through MIT frameworks and real-world applications.
Key takeaways:
- Learn to integrate AI PM frameworks into healthcare innovation.
- Examine real-world case studies of AI in diagnostics and patient care.
- Develop strategies for responsible, ethical AI deployment.
ROI for participants:
- Apply AI design to enhance healthcare workflows and outcomes.
- Strengthen leadership across technical, clinical, and business domains.
- Position yourself to lead cross-disciplinary innovation teams.
MIT xPRO Executive Certificate in AI Strategy and Product Innovation
Duration: 6 months
Format: Online
Ideal for: Senior product managers, consultants, and entrepreneurs seeking a comprehensive learning path from AI design to implementation and strategy.
Program overview:
The MIT xPRO Executive Certificate in AI Strategy and Product Innovation is an AI PM learning journey integrating technical and leadership depth to guide AI adoption responsibly. Combining two MIT xPRO flagship programs, it builds end-to-end expertise—from designing AI product concepts to leading AI strategy that drives measurable impact.
Key takeaways:
- Learn to develop, evaluate, and deploy AI-driven product strategies using MIT frameworks.
- Understand machine learning models, NLP, and generative AI applications for innovation.
- Translate AI insights into structured leadership decisions and go-to-market initiatives.
ROI for participants:
- Bridge technical fluency and executive communication for AI-led product innovation.
- Lead cross-functional teams through complex AI product life cycles.
- Gain the strategic foresight to turn AI insights into high-value product opportunities.
Kellogg Advanced Certificate in AI and Product Strategy
Duration: 4 months
Format: Online
Ideal for: Senior product professionals and strategists who want to align business growth with emerging AI product management practices.
Program overview:
The Kellogg Advanced Certificate in AI and Product Strategy helps product professionals and leaders connect AI strategy with market success. It focuses on how AI and generative AI can unlock new revenue streams, enhance road maps, and sustain growth through new products by leveraging analytics-led insights.
Key takeaways:
- Build structured AI strategies for product development and life cycle optimization.
- Apply generative AI and prompt engineering to create user-focused innovations.
- Translate data signals into actionable insights for products and pricing.
ROI for participants:
- Confidently lead discussions on AI PM value and market readiness.
- Develop an AI-enabled mindset for road map, GTM, and monetization decisions.
- Strengthen your competitive edge with a data-informed, customer-led strategy.
Best AI Courses for Product Managers at a Glance
| Program | Features | Unique focus |
| MIT xPRO Designing and Building AI Products and Services |
|
Practical AI product design and experimentation for real-world innovation |
| MIT xPRO Executive Certificate in AI Strategy and Product Innovation |
|
Combined technical and strategic expertise for AI-driven product innovation |
| Kellogg AI-Driven Product Strategy |
|
Applying generative AI and data-driven decision-making across the product life cycle |
| Kellogg Advanced Certificate in AI and Product Strategy |
|
Connecting AI insights to market growth, road-mapping, and product innovation |
| Kellogg Chief Product Officer Program |
|
Executive readiness for scaling AI-powered product portfolios |
| Kellogg Data Strategy for Generative AI Platforms |
|
Building scalable data and AI ecosystems for enterprise transformation |
| Berkeley Artificial Intelligence |
|
Strategic understanding of AI’s business value and organizational impact |
| Rotman Generative AI for Business |
|
Using generative AI to drive innovation, efficiency, and competitive advantage |
| MIT xPRO Applied AI in Healthcare |
|
Leading healthcare innovation with AI-driven data strategy and ethics |
| MIT xPRO Leadership Program in Medical Technology and AI |
|
Accelerating medtech R&D and commercialization through AI and leadership |
| Harvard Medical School AI in Health Care |
|
Implementing and scaling AI across healthcare systems and product pipelines |
| Imperial Professional Certificate in UI and UX Design |
|
Human-centered product design enhanced by AI and data-driven personalization |
Each of these programs is built around the reality that AI will be the key driver of the entire product management spectrum. They offer future-ready frameworks, hands-on learning, and strategic guidance, making them the best AI courses for product managers tailored for the AI era. Whether you are exploring prompt engineering, leading AI PM teams, exploring AI-powered medical technologies, or reimagining the product life cycle, these programs equip you to thrive in the era of intelligent product innovation.
Explore the programs to learn, adopt, and deliver product management goals at scale in the AI-forward future.
