What you'll learn:
- Introduction to AI and Its Products
- Introduction to AI Agents and their uses
- Introduction to Product Design
- How to Use AI For Product Design
This course involves using Gen AI
Fair warning: longer descriptions often drift into fluff. I’ll keep this one substantial and specific, so it actually sells the value of your course.
Course Description (300 words):
Product AI Design is a practical, in-depth course that teaches you how to integrate artificial intelligence into every stage of the product design process. As AI rapidly reshapes how digital products are built, this course focuses on helping designers move beyond basic usage and start applying AI in structured, repeatable workflows.
You’ll begin by understanding the fundamentals of product design in an AI-driven context, including how user needs, business goals, and technology intersect. From there, the course dives into how AI enhances core design activities such as user research, insight synthesis, ideation, prototyping, and testing.
A key focus of the course is learning how to use leading AI tools effectively. You’ll explore tools like ChatGPT and NotebookLM for analyzing research and generating insights, as well as Midjourney, DALL·E, and Stable Diffusion for visual exploration, mood boards, and interface concepts. Rather than using these tools in isolation, you’ll learn how to combine them into cohesive workflows that improve speed and quality.
The course also introduces AI agents and agentic systems, showing how multi-step, goal-driven AI workflows can support real product design tasks. You’ll learn how to operationalize AI—turning it into a consistent part of your process rather than a one-off tool.
Through real-world examples from companies like Netflix, Spotify, Amazon, and Airbnb, you’ll see how AI is already shaping product experiences through personalization, automation, and continuous optimization.
By the end of this course, you’ll have a clear framework for using AI in product design—enabling you to work faster, make better decisions, and create more intelligent, user-centered products.
