Artificial intelligence (AI) has quickly emerged as a key driver of innovation across healthcare, banking, e-commerce and SaaS. AI-driven products are changing how industries operate and how users interact with technology. A 2024 McKinsey study found that more than 65% of organizations have adopted some form of AI in their operations. In 2020 only 50% of businesses used AI!

Understanding and using AI to make better, more user-focused solutions is now part of traditional product management. Product managers are no longer just in charge of design and delivery. They also need to know how AI models can help people make better decisions and work more efficiently.

Andrew Ng – AI Expert and Coursera co-founder – once said, “AI is the new electricity. It will change industries today in the same way that energy did 100 years ago.” His point shows how important it is for experts, especially product managers, to use AI to stay useful and up to date.

The global AI community and other AI-focused groups have become important places for professionals to share knowledge, discuss ethical issues and develop new ways to use AI responsibly. As more and more businesses depend on data and technology, every forward-thinking product manager needs to understand AI. This is where AI product management courses come into play.

The role of modern product managers is to find a balance between company goals and the growing prospect of AI systems. The rise of artificial intelligence product management is driving a shift from creating digital products to creating intelligent experiences that learn and adapt.

What is AI for Product Management?

Before we introduce you to the top 12 AI product management courses in 2025, let’s first talk about what product management is all about. AI for product management is when you handle and build products that use AI or ML to make them better.

The experts responsible for business strategy, user experience and technical AI development are AI product managers or AI PMs. They don’t need to write code or build AI models. Rather, their job is to ensure that AI solutions meet customer needs and help the company reach its goals.

AI project managers work closely with data scientists, engineers or designers to make sure that ML is used in a way that is useful, moral and easy for people to understand. As artificial intelligence is shaping every major industry, the demand for trained AI PMs will keep rising, making it an essential area for today’s and tomorrow’s product leaders.

How an AI Product Manager Differs from a Traditional PM?

In standard product management, decisions are mostly based on market research and user feedback. But AI for project managers means enabling the experts to figure out what data-driven ideas and model outputs mean.

Why Are AI Product Management Skills Growing in Demand?

AI adoption is skyrocketing, from predictive analytics to personalization. Every product now will contain some form of AI capability. Every business needs skilled AI PMs who can translate AI potential into product value.

These are some of the fastest-growing jobs on LinkedIn, including AI product manager certification holders and product manager AI specialists. Companies are seeking people who can connect AI with business strategy. An AI product manager should know how to use it responsibly, and users should trust it.

Completing AI product management courses prepares you for these modern demands. It opens doors to exciting AI product manager job opportunities around the world.

AI Product Manager Skills Requirement

To successfully integrate AI in product management, you need to master the skills mentioned below

• AI/ML Fundamentals: Have a solid understanding of AI models and the importance of AI ethics.
• Product Strategy & Road Mapping: Aligning of AI features with user and business requirements.
• Data Analysis & Metrics: Knowledge of interpretation of AI metrics.
• User Research & UX Thinking: The motive is to ensure that AI improves the user experience.
• Communication & Cross-Team Collaboration: Work well with both technical and nontechnical teams.

By pursuing any of the best AI product management courses mentioned in our guideline, you can upskill yourself and pave the way for a successful career ahead.

How to Choose the Right AI Product Management Course

With dozens of AI product management courses online, here’s how to pick the one that fits your goals. Here’s how you can choose the best AI courses for product managers –

• Course Levels: Beginner vs Advanced

If you are starting out as a product manager, then choose a beginner-friendly course. To gain deeper expertise, choose from the advanced AI product management courses.

• Self-Paced vs Live Instructor Training:

Recorded lectures offer the flexibility to learn from anywhere and at any time. Live classes with an instructor enable one to ask questions and learn with a group.

• Course Duration, Fees & Certification:

Unless you’re okay making a huge investment, pick a free or an affordable course which will provide you a valid certificate after the completion.

• Job Support and Real-World Case Studies:

Inquire about the career support and AI product projects from the alumni of AI product management courses. Pick the one that will help you achieve tech leadership and pursue a successful professional pursuit.

Best AI Product Management Courses in 2025

Below are the detailed summaries of the top 12 ai product management courses that you can choose to level up your skills and give your career the boost it needs. Take a glance –

#1. IBM AI Product Manager Professional Certificate

Image Credit: Coursera

The IBM AI product manager professional certificate course teaches learners both modern generative-AI techniques and foundational product management skills. Practical learning is the main focus of this program. Pursue it if you’re keen on learning how to design a product concept, use GenAI, practice prompt engineering, and deliver an AI-powered product. You can learn online at your own pace.

Key Takeaways:

• Apply essential product management tools to engage stakeholders and clients.
• Get practical knowledge of Agile methods for bringing products to market.
• Understand generative AI, including prompt engineering and foundation models, to drive innovation.
• Build a hands-on project portfolio that showcases your skills from concept to AI-powered product.

Ideal Learners:

• Anyone aimed for a successful career in product management, particularly as an AI product manager
• No prior experience of GenAI or product management required

Course Link

#2. Microsoft AI Product Manager Professional Certificate

If you’re an aspiring product manager and keen to master the essential skills of launching products in today’s AI-driven world, then pursue this Microsoft AI product manager professional certificate course. This curriculum also teaches the learners how to use AI, cloud and analytics tools from Microsoft in product development.

Key Takeaways:

• Understand and apply core product management principles, concepts, and methods across product lifecycle
• Identify product gaps and opportunities through a deep market research and competitive analysis
• Develop product roadmaps and strategies that balance business goals and user requirements
• Design user-friendly interfaces and work with design teams
• Use Microsoft AI and analytics tools to make product decisions

Ideal Learners:

• Beginners or career switchers looking to start a career in product management
• Mainly suitable for those interested in AI or tech
• No prior experience or product management degree required

Course Link

#3. Maven – AI Product Management Certification

Image credit: Maven

To hone your skills in building AI-powered products, future-proof your career with this cohort-based programme. The initial stage of this best AI courses for product managers focuses on foundational concepts in AI such as model fine tuning, LLMs, bias, interpretability, and more!

Key Takeaways:

• Grasp AI fundamentals and how they influence product decisions.
• Spot and validate impactful AI use cases in product development.
• Apply advanced prompting techniques to boost AI-driven product features.
• Master the end-to-end process of bringing AI-powered products to market, from ideation to growth metrics.
• Join an alumni community, access course materials for life, and earn a shareable credential.

Ideal Learners:

• Professionals like engineers, product managers, tech leads, UX/design experts or founders working on software products
• Anyone aiming to lead AI feature development or move into AI product roles
• No advanced coding skills are required

Course Link

#4. UCLA – AI for Product Management

IMage credit: UCLA

This AI product manager certification course equips learners with the up-to-date knowledge to integrate AI/ML into the product development lifecycle. This includes model selection, deployment, automation, and workflow acceleration.

Key Takeaways:

• Identify and evaluate valuable ways to use AI/ML in products.
• Select the right models, prepare data, and design effective prompts for AI features.
• Address key challenges such as data privacy, technical limits, deployment, etc.
• Lead and collaborate with data, engineering, UX, and business teams, communicating clearly with all stakeholders.
• Build strategic roadmaps for AI features that balance long-term growth with quick wins.

Ideal Learners:

• Professionals in product, project, management, or technology roles.
• Those who want to lead or support AI-enabled product development.
• Those with experience in product leadership or management.
• Anyone who wants to know how to integrate AI/ML into products.

Course Link

#5. Product School – AI for Product Managers Certification

Image credit: Product School

If your quest goes beyond “how to become an AI product manager” to “how to bridge AI and product management to create value-yielding AI products,” then enrol in this AIPC™ programme. Those who pursue this course will learn how to switch to an AI-native product leader from conventional product manager roles.

Key Takeaways:

• Develop an AI-first mindset and quickly adapt product strategies for predictive and generative models.
• Write and execute AI-specific Product Requirement Documents addressing key AI challenges like model selection, cost/latency trade-offs, etc.
• Design AI-native user experiences where generative features and non-deterministic outputs are key.
• Set advanced evaluation metrics for AI products which include bias, fairness, drift and latency. This ensures reliable outcomes.
• Hone expertise in rapid prototyping and prompt engineering with GenAI to product development.

Ideal Learners:

• Product managers, product leads, and senior PMs
• Product professionals who want to switch to AI-driven product development.
• UX/design experts and engineers, interested in transitioning into product roles.
• Those who already know product workflows.
• Perfect for those who have prior experience in product management.

Course Link

#6. Coursera – AI Product Management Specialization

Perfect for product-oriented professionals, this AI product management specialization course begins with the basics of how ML works. Subsequently, it equips learners with so they can lead AI and ML projects confidently.

Key Takeaways:

• Recognize when and how to use ML in product solutions.\
• Lead ML projects, right from planning to deployment, using the best practices of data science.
• Design AI products, which prioritize user needs, privacy, and ethics.
• Work efficiently with teams across data, UX, engineering, and business.
• Conquer real-world challenges such as model performance, data quality, and user trust.

Ideal Learners:

• Professionals in engineering, product, analytics, or leadership roles
• Those looking to transition to or spruce up their role in AI-enabled product development
• Ideal for learners without any prior experience in programming
• Focuses on strategy and product skills rather than just coding

Course Link

#7. Pragmatic Institute – AI for Product Managers

This AI product management certification workshop is tailored for product professionals who want to discover, define, and deliver product value fast through AI tools. Those who pursue this course learn to use AI agents to extract market research, analyse competitors, create AI-driven hypotheses, and set product priorities.

Key Takeaway:

• Gain an understanding of how to use AI effectively across different product tasks.
• Fasttrack market research and competitor analysis with powerful AI agents.
• Use robust AI tools to evaluate ideas and prioritize product features.
• Tailor messaging, identify challenges, and prototype with AI fast.
• Learn when to allow AI to handle a routine work and when to count on human judgment

Ideal Learners:

• Product Managers
• Product Marketing Managers
• Product Owners
• Product Operations Managers
• Directors of Product
• Product Designers
• Someone who is working in product roles and keen to use AI tools to enhance their work

Course Link

#8. Pendo – AI for Product Management Course

Through this course, learners can explore AI’s role in modern product management. Most importantly, it encourages product managers to use AI as a strategic ally, instead of looking at it as a threat! The 6-module curriculum also teaches learners to build AI-powered features, adapt AI-forward software strategy, and embed AI into product-led organizations.

Key Takeaways:

• Learn to update your software strategy and build strong AI principles into your product organization.
• Leverage AI to drive product growth through automation, personalization, and data insights.
• Apply AI across different stages of the entire product lifecycle.
• Get practical examples for adding artificial intelligence to existing products or building new AI-powered features.

Ideal Learners:

• Product managers and product leads
• Experts working in product-driven organizations
• Those who are keen on adding AI to their product workflow
• Perfect for learners without any prior expertise in deep AI or machine learning
• Suitable for anyone looking to understand how to apply AI in product contexts

Course Link

#9. Udemy – The Product Management for AI & Data Science Course

As one of the best AI certifications for product managers, it provides practicing or aspiring product managers with the knowledge and necessary frameworks to manage products in AI and data science. Starting from the basics, this course sheds light on what a product manager does and how this role differs from project management. Subsequently, it transitions into the world of machine learning, AI, data, and algorithms, focusing on their usage in business products.

Key Takeaways:

• Learn the basics: data analysis vs. data science, algorithm vs. AI, deep learning, and different kinds of machine learning.
• Create business strategies for AI. This includes when to use it, how to validate ideas, conduct SWOT analysis, and map AI business models.
• Learn how to manage and source data for AI projects, which include databases and data lakes.

Ideal Learners:

• Early-career professionals or beginners, aimed at becoming product managers in AI/data.
• Those who are already working as product managers, but interested in moving into AI/data roles.
• Tech professionals or businesses looking to upskill for data/AI product management.

Course Link

#10. Udacity – AI Product Manager

This Udacity AI product manager course is perfect for professional product managers or the ones who aspire to be one. Participants will start by learning the basics of AI and ML in businesses, and product managers can approach AI differently. Next, it covers the practical skills such as database designing, using or creating ML models, and assessing their impact or performance.

Key Takeaways:

• Understand when and how to use AI/ML in product lifecycle, business value, data needs, etc.
• Learn to design or find quality datasets (including annotation) for machine learning.
• Know how to evaluate ML models, choose the right metrics, and balance accuracy, speed, cost, and business value.
• Learn to plan AI product features and work seamlessly with engineering teams and stakeholders.

Ideal Learners:

• Product managers specializing in AI products
• Professionals transitioning into AI-focused product management roles
• PMs who are keen to learn unique challenges of AI/ML in product development.

Course Link

#11. Hello PM.

Image credit: HelloPM

This is an ideal program for those professionals who want to switch to or simply advance in product management, particularly for AI-powered products. This course runs across around 15 weeks of live sessions that include hands-on assignments. By complete understanding, we mean foundational product thinking (like discovery, strategy and growth), discovery, analytics, execution, tech literacy, and how to create and grow AI product features.

Key Takeaways:

• Understand the role of a product manager in different settings and apply key frameworks for ideas and execution.
• Use market analysis and user research to convert insights into product features.
• Build product strategy, set priorities, and manage teams through Agile methods.
• Spot and plan AI features, work with AI models, and resolves issues such as bias, scaling, etc.

Ideal Learners:

• Professionals who want to move into product management. They could be from any background like engineering, marketing, sales, design, operations, or business analysis
• Those who are already working as product managers and looking to expand their skills in AI and product management

Course Link

#12. 365 Data Science – Product Management for AI and Data Science

This AI product management bootcamp is designed to equip learners with the skills of managing and developing AI-powered products. Through this course, learners will discover how to communicate with tech teams and address privacy, ethical, and bias concerns in AI products

Key Takeaways:

• Spot and evaluate ways data science or AI can create business value.
• Learn to prepare data and manage data workflows for products.
• Understand how to lead AI/data teams and communicate across teams.
• Beware of privacy, bias, and ethics while launching AI products.
• Get tools to manage the full AI product lifecycle, from ideation to launching and beyond.

Ideal Learners:

• Product managers looking to emphasize data science or AI
• Data scientists or analysts, aimed at moving into product roles
• Professionals in analytics or related fields who want to level up for AI/data product management

Course Link

Read Also: Data Science Courses

Who Should Take AI Product Manager Certification Courses?

These AI product management courses are for –

• Product managers moving to AI roles
• Developers and data analysts interested in product management
• Business or MBA students starting in technology
• Entrepreneurs building AI startups

No coding is necessary. The above-mentioned AI product management courses are great for everyone who wants to excel in AI product roles or lead the gen-next of intelligent products.

Benefits of Pursuing AI Product Manager Certification Courses

The perks of pursuing AI product management courses are mentioned below –

• It helps you retain your job in a world where many jobs use AI.
• It gives you an edge when you want to get promoted or get a new job.
• It allows you to manage projects that use AI to create new things.
• It teaches you how to use AI fairly, confidently, and correctly.
• You can get better recognition and higher salary by holding certificates from the best AI product management courses

Career Opportunities After Completing AI Product Management Courses

After completing AI product management courses, you can pursue these professional pursuits –

• AI Product Manager: Figures out what AI products should actually do and how they can benefit the users.
• Technical Product Manager-AI/ML: Makes sure the actual AI brains stay put into the product and work properly. Also checks that they follow all the relevant guidelines.
• AI Project Manager: Someone who leads different projects using AI to keep everything organized and running seamlessly.
• Product Strategy / Innovation: Thinks up the smartest ways the AI can help the company make more money.
• Freelance & Consulting: Give advice to new companies on how to use AI in a smart way.

Graduates often look to AI product manager jobs, and the salaries are lucrative. An AI product manager salary in the U.S. is usually in the range of $130,000–$180,000 per year, depending on experience!

Conclusion

According to reports, there will be a 40% hike in AI and ML jobs by 2027 globally. And AI product manager roles are the fastest-growing categories within product management. Upon completing AI product management courses, you will gain the skills of leading teams smartly, driving innovation, making data-backed decisions fast, and more!

Be it for a beginner or an experienced PM, taking up one of the best AI product management courses will take your career to another height! Product management is a long game. So, take the leap, as the future of product management belongs to those who will stay at the forefront of AI.

FAQs

Do I Need Coding Skills to Become an AI PM?

No, you don’t need any coding skills to become an AI PM. But choose the top AI product management courses only. Because, if you need to learn something additionally, these courses will teach you that as you go.

What do you need to be an AI product manager?

You just need curiosity, a bit of strategic thinking, and the ability to communicate with technical teams to become an AI product manager. Half the battle is won when you choose from the best AI product management courses!

Can beginners start without a tech background?

Yes indeed. Beginners can absolutely start without a tech background. Just pick from the right AI product management courses to achieve real success in your career.

How long does it take to learn AI product management?

You can learn the basics of product management in just about 8–12 weeks. However, the duration could differ based on the AI product management courses you choose to pursue.

Are these certificates recognized by employers?

Yes, obviously! Top AI product management courses from Coursera, Udacity, or Product School are well-respected by employers.