Updating with resources for (AI) product management I've found useful. 🫡
- Educative.io: Managing AI-based Software Products
In this Skill Path, you'll learn modern product management techniques and the fundamentals of AI. Moving ahead, you will learn how to create great AI products and how AI can benefit your organization. In the end, you'll master the technicality of integrating and deploying AI products. (Free (GitHub Students Pack) | ~$35 per month)
- EntryLevel: Product Management Fundamentals
Whether you're an aspiring product manager or leader, an entrepreneur, a team member that works with PM’s or developers, our beginner-friendly course is designed to give you a solid foundation. ($400)
- EntryLevel: Product Management Level 2
Take your PM skills to the next level. Through advanced frameworks and expert guidance, you will learn to build better products and reach new heights in your career. ($400)
- Pendo: Product Analytics Certification Course
Take the course and get certified in product analytics to deepen your data expertise and advance your career. (Free | $149)
- Pendo: Product Management Basics Certification Course
Take the course and get certified to uplevel your skills as a product manager. (Free | $149)
- Pendo: Product-led Certification Course
Take the course and get product-led certified to grow your knowledge and advance your product career. (Free | $149)
- Product School: Product Strategy Micro-Certification (PSC)™️
Product Strategy Micro-Certification to learn how to construct and implement a successful strategy. (Free as at the time of posting this)
- Product School: Product-Led Growth Micro-Certification (PLGC)™️
Product-Led Growth (PLG) has changed the game for Product Managers and the companies that hire them. The Product role is increasingly tied to growth metrics, meaning that PMs now have the opportunity to weigh-in on strategic decisions that could impact your entire organization. (Free as at the time of posting this)
- Product School: Product Analytics Micro-Certification (PAC)™
At the end of the course, you’ll understand how to use and apply data to make better decisions at every stage of the product lifecycle. Plus, upon completion, you’ll receive the Product Analytics Micro-Certification! (Free as at the time of posting this)
- Udacity: AI Product Management Nanodegree
This comprehensive program covers all aspects of AI product management, from ideation to deployment. You’ll learn about product strategy, user research, data analysis, and machine learning algorithms. You’ll also work on real-world projects and build a portfolio of AI products. ($400 per month | Discounts available)
- Coursera: AI Product Management Specialization
The specialization is ideal for professionals with a background in product management or a related field. It covers key topics such as AI product strategy, data analysis, user experience, and ethical considerations. (Financial aid available)
- Maven: Building AI Products — For Current & Aspiring Product Managers by Dr. Marily Nika
This course is designed to help aspiring product managers, software engineers interested in AI and product managers who want to understand how to bring AI products to life. ($500)
- 365 Data Science: Product Management for AI & Data Science by Danielle Thé
This course covers everything you need to know from how to identify business opportunities to leverage AI and steps for ethical data preparation. It covers the structure of AI and data teams and how to communicate with stakeholders. It takes you from idea and evaluation to building tests and iterating AI and data-driven products. ($19 per month)
- Exponent: Complete PM Interview Course
Our product management interview course teaches you the essential skills you need to ace your PM interview, with hours of example questions, videos, and interview tips.
- Product Manager Guides
Resources for the independent doer to break into and advance in product management.
- Manifesto for Agile Software Development
The Agile Manifesto is a document that identifies four key values and 12 principles that its authors believe software developers should use to guide their work.
- Why Consumer Subscription Is So Hard, and What to Do About It
I was recently on Lenny Rachitksy’s podcast again, and one of the topics we discussed was consumer subscription business. I thought I would actually write down a lot of those thoughts and add some more depth for founders and employees working on these businesses. - Casey Winters
- Minimum Viable Library (2) — Product Owner Edition
Read on and learn how the recommendations for Product Owners cover a wide range of topics, including product management, product discovery, escaping the feature factory, and aligning with critical stakeholders.
- The role of an AI product manager by Hiroki Nakamura
In this ProductTank Tokyo talk, Hiroki Nakamura examines an AI Product Manager’s tasks and how AI is transforming the product management industry.
- BUILDING A USER-CENTERED HEALTHCARE SOLUTION WITH LEAN STARTUP: THE LUNNA EXPERIENCE
- Exponent: Product Management Interview Prep
YouTube playlist of product manager interview prep materials by Exponent.
- Women in Product
Women In Product is a 501(c)(3) nonprofit organization "Equip women to thrive in product management careers at all levels." (Free)
- Black Product Managers Network
A community of black product leaders who are passionate about increasing diversity in product. ($150 per year, discounts available)
- Lenny's Newsletter
A weekly advice column about building products, driving growth, and accelerating your career.
- Marily Nika’s AI Product Newsletter
Weekly AI & Product Management content following her 12 years working as an AI PM Lead @ Google & @ Meta. Opportunities, exclusive templates, course discounts and tools that will transform your career.
- Lenny's Podcast: Product | Growth | Career
Interviews with world-class product leaders and growth experts to uncover concrete, actionable, and tactical advice to help you build, launch, and grow your own product.
- AI and product management | Marily Nika (Meta, Google)
She shares her insights on how AI is empowering her work, and why she believes that every Product Manager will be an AI Product Manager in the future. We also discuss why PM’s should learn a bit of coding, where they can learn it, and best practices for working with data scientists.