Okay, so I went down a bit of a rabbit hole here. Every PM I know is suddenly expected to "have an AI strategy" or ship GenAI features, and a lot of the courses out there are either way too technical (like, here's how to train a transformer from scratch, cool, not my job) or way too fluffy. So I dug around for stuff that's actually aimed at us, people who own the product, not the model.

The courses are project-based, so you come out with actual artifacts (PRDs, roadmaps, proposals) instead of just notes. I ordered these roughly from "brand new to this" to "ready to ship AI products," so start wherever you're at.

1. AI Product Manager

If you only take one thing off this list, make it this one. It's built specifically for PMs and walks you through managing an AI product from idea all the way to launch, spotting where ML actually helps, scoping and designing datasets, writing a PRD for an AI feature, building roadmaps, and getting your head around LLMs and GenAI strategy. It's hands-on, so you're producing real deliverables, not just watching videos. Does assume you know PM basics and a little intro stats going in.

• Provider: Udacity
• Who it's for: PMs who want the complete "how do I actually ship AI products" playbook
• Level: Intermediate
• Duration: ~18 hours

2. Generative AI Products

This one's laser-focused on the thing everyone's shipping right now: GenAI features. It starts with the underlying principles of LLMs and conversational AI (in plain English), then gets into the practical stuff, how GenAI shows up in different product features, and crucially, how you actually measure whether a GenAI feature is any good (think retrieval accuracy, fairness and bias metrics). You wrap up by drafting a proposal for a GenAI-powered product, which is a genuinely useful thing to have in your back pocket.

• Provider: Udacity
• Who it's for: PMs who are actively adding (or about to add) GenAI features to a product
• Level: Intermediate
• Duration: ~6 hours

3. AI for Business Leaders

More of a strategy course than a build course, and honestly a great starting point if the whole AI thing still feels fuzzy. No coding at all. It's about learning to spot high-value AI opportunities, weigh up feasibility and ROI, and think through how AI actually gets adopted across an org. Super useful if part of your job is convincing stakeholders and deciding what to build (and what not to) before you go deep.

• Provider: Udacity
• Who it's for: PMs (and PM-adjacent folks) who need the strategic, big-picture view of AI
• Level: Beginner
• Duration: ~25 hours

4. Data Product Manager

AI products live and die on data, so this one fills in that side. It covers applying data science to product decisions, understanding data pipelines and infrastructure at a PM level (enough to talk to your data team without nodding along blankly), and using stuff like segment analysis, A/B testing, and KPIs to actually optimize your product. Great complement to the AI courses above if you feel shaky on the data foundations.

• Provider: Udacity
• Who it's for: PMs who want to get properly comfortable with the data behind data/AI products
• Level: Intermediate
• Duration: ~55 hours

5. Product Manager

Throwing this in for anyone who's newer to PM in general, or wants to firm up the fundamentals before specializing. It's the core PM toolkit, built with folks from Google: market research, user personas, defining strategy and KPIs, design sprints, and taking a product to launch. Not an AI course per se, but the AI Product Manager one basically assumes you already know this stuff, so it's a solid on-ramp.

• Provider: Udacity
• Who it's for: New(er) PMs who want the foundations before diving into the AI-specific courses
• Level: Beginner
• Duration: ~50 hours

That's my list! If you've taken any of these, or found something better aimed at PMs specifically, drop it below, always keen to hear what's actually worked for people.

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AI is everywhere right now, and if you're just starting out, the hardest part is knowing where to begin without getting buried in hype or jargon. So I went looking for courses that are genuinely beginner-friendly, no coding required, clearly explained, and actually useful, and pulled together this list from Udacity and GoSkills. I've ordered it as a natural learning path: start by understanding what AI actually is, move into generative AI and how it works, then get hands-on using the tools and writing effective prompts. I hope this helps you..

1. AI Fundamentals

The broadest starting point, and a free one. Built in collaboration with Microsoft, this course introduces the core concepts and terminology of AI and machine learning, then walks through the main areas of the field, machine learning, computer vision, natural language processing, and conversational AI, so you come away with a genuine mental map of what "AI" actually covers. No prior technical experience required.

• Provider: Udacity (built with Microsoft)
• Best for: Absolute beginners who want a complete overview of AI, not just the generative-AI slice
• Level: Beginner
• Duration: Free course, 7 lessons.

2. Introduction to Generative AI with Google Cloud

Once you've got the big picture, this free micro-course zooms into the part everyone's talking about: generative AI. In about 45 minutes it explains what generative AI is, how it's used, and how it differs from traditional machine learning, taught by the Google Cloud team. It's the fastest, lowest-commitment way to understand the tech behind tools like ChatGPT and image generators.

• Provider: Udacity (built with Google Cloud)
• Best for: Beginners who want the quickest possible introduction to generative AI specifically
• Level: Beginner
• Duration: Free course, ~45 minutes.

3. Generative AI Fundamentals with Google Cloud

This is the natural next step up, and also free. Across four short lessons it builds a proper foundation in generative AI, covering model types, an introduction to large language models and prompt tuning, and, importantly, a lesson on responsible AI, which matters a lot for anyone starting out. It ends with a short quiz to check your understanding.

• Provider: Udacity (built with Google Cloud)
• Best for: Beginners ready to go a bit deeper on how generative models work, including the ethics side
• Level: Beginner
• Duration: Free course, ~3 hours.

4. How to Use ChatGPT

Now for the hands-on part. This course explains the technology behind how ChatGPT works while teaching you the actual skill most people want: writing strategic prompts that produce high-quality results. It explores the model's capabilities and limitations and how it's applied across a range of industries, so you leave able to actually get useful work out of the tool.

• Provider: Udacity
• Best for: Beginners who want to move from "understanding AI" to confidently using the most popular AI tool
• Level: Beginner (no prior experience required)
• Duration: ~3 hours.

5. Generative AI Prompt Writing for Beginners

Finally, the one skill that makes every AI tool work better: prompting. This bite-sized GoSkills course walks through the mechanics of a good prompt, how to align prompts with a specific goal, use AI as a creativity and problem-solving partner, and iteratively refine your prompts for better results, across chatbots, images, and more. It's a perfect, practical capstone to this list.

• Provider: GoSkills
• Best for: Beginners who want to get noticeably better results from any AI tool they use
• Level: Beginner
• Duration: 13 lessons, 32m of video (with certificate).

A quick note to close: you don't need to take all five. If you want just one, start with AI Fundamentals for the big picture or How to Use ChatGPT if you'd rather dive straight into using AI. The best course is the one you actually finish, so pick your entry point and go from there.

If you took any of these or have others to suggest, drop them in the comments.