
In this lecture, we’ll discuss the current AI landscape.
Covered in the video:
What is AI?
What are machine learning foundational learning methodologies?
Overview of AI application areas.
What is Generative AI?
In this lecture, we’ll go into more detail about what Generative AI is.
Covered in the video:
Five Levels of the Generative AI Ecosystem.
Foundational Model Types.
Capabilities of Large Language Models (LLMs), using GPT-4 as an Example.
In the second part of the lecture, we’ll continue talking about what Generative AI is.
Covered in the video:
Five Levels of the Generative AI Ecosystem.
Foundational Model Types.
Capabilities of Large Language Models (LLMs), using GPT-4 as an Example.
Now that you know what generative AI is and what the technology is capable of, let’s explore how generative AI can transform the way we work and what value it can bring to industries and businesses.
Covered in the video:
What type of work does Generative AI have the biggest impact on.
Four business areas that stand to gain the most from Generative AI.
Which industries will benefit the most from Generative AI.
Since you are enrolled in the product management course, we can't miss discussing the topic of how generative AI will impact a Product Manager’s work and productivity, given that product managers are knowledge workers—those who will be most impacted by generative AI.
Covered in the video:
How using generic and specialised Generative AI tools can influence PM productivity.
Can Generative AI replace fundamental product management skills?
So far, our discussion has been mostly theoretical, so let's switch things up and try to automate one of our product management tasks.
Covered in the video:
PM tasks where Generative AI is most effective.
Deciding on what AI assistant to build.
The first thing we need to do to build our AI assistant is to create an account with ChatGPT.
You will find out how to do this by follow along this tutorial.
Hey everyone, welcome back! Let’s create our first custom GPT!
Let’s continue exploring how to create a custom GPT.
You may have a use-case when the model requires knowledge beyond what it has been trained on.
This is what we are going to explore in this tutorial.
In this quick tutorial, you will learn how to share your custom GPT with the world.
Last updated: June 2026
Product managers who understand generative AI have a significant advantage in today's market—not because it's a trendy buzzword, but because it's becoming a fundamental part of how products are designed, built, tested, and improved.
Much like how data analytics evolved from a nice-to-have to a core product management skill, generative AI is quickly becoming essential for staying effective and competitive in the role.
Whether you're streamlining your daily workflow or evaluating AI features for your product, this knowledge directly impacts your ability to make informed decisions.
In this course, you’ll start with a simple, beginner-friendly overview of today’s AI landscape and what generative AI actually is. Then we’ll go hands-on: you’ll follow along step-by-step to build your own PM AI assistant using Custom GPTs — including how to use knowledge files and how to share your GPT so it becomes a reusable tool in your workflow.
By the end of the course, you’ll be able to:
Understand where generative AI fits in today’s AI landscape
Explain what genAI is (and isn’t) and where it creates real value
Use genAI to boost your productivity as a product manager
Build your own PM AI assistant with Custom GPTs (follow-along)
Add knowledge files so your GPT can use your context and materials
Share and reuse your GPT as a repeatable part of your workflow
You’ll also get access to 2+ ready-to-use PM AI assistants I built for this course — including one for product idea brainstorming and one that supports PM job search tasks (resume feedback and more).