This course contains the use of artificial intelligence*. (*Some images used in this course have been created using artificial intelligence (AI) for illustrative and educational purposes. These images are not real photographs of actual people, organisations, or events and are intended solely to support learning and understanding.)
If you’re a product manager, UX designer, or aspiring builder who’s heard “use AI in your workflow” a hundred times but still isn’t sure how — this course is your answer. Are you watching competitors ship faster, research deeper, and design smarter, while you’re still copy-pasting user feedback into spreadsheets? Do you sense that AI is transforming product design but can’t find a course that goes beyond surface-level tips and actually puts the tools in your hands? That gap ends here.
Product Design with AI is a hands-on, practitioner-focused course that takes you from AI-curious to AI-capable. Across 16 structured lectures, you’ll move through the full product design lifecycle — research, discovery, prototyping, analysis, and responsible use — armed with the most powerful AI tools available today: ChatGPT, Claude, NotebookLM, Google AI Studio, Microsoft Copilot, and more. This isn’t theory. Every concept is paired with real demonstrations, working code, and practical workflows you can deploy immediately.
In this course, you will:
- Apply AI agents like ChatGPT and Claude to accelerate user research, problem discovery, and feedback synthesis
- Build functional prototypes and lightweight apps using Google AI Studio — no deep coding background required
- Execute multi-source research synthesis using NotebookLM to surface insights from messy, real-world data
- Run basic generative AI code in Python via Google Colab, demystifying the technical layer of AI tools
- Implement Retrieval-Augmented Generation (RAG) — the technique powering the smartest AI products — with a guided code walkthrough
- Conduct advanced product data analysis using ChatGPT and Claude to make faster, evidence-backed decisions
- Craft high-leverage prompts that function as product insights, not just chat queries
- Navigate bias, hallucination, and data privacy risks so you can use GenAI responsibly in a professional setting
Why does this matter now?
AI isn’t coming to product design — it’s already here. Teams that know how to direct AI tools are doing in hours what used to take weeks. Whether you’re conducting user interviews, synthesizing research, analyzing usage data, or scoping features, there is an AI workflow that makes you faster and sharper. The product managers and designers who thrive in the next five years won’t be those who know the most about AI in the abstract — they’ll be the ones who’ve actually used it, debugged it, and built systems around it.
