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 who feels like AI is moving faster than you can keep up — and you're worried about being left behind — this course was built for you.

Are you tired of hearing about AI's potential but struggling to apply it to your actual product workflow? Do you want to go beyond the buzzwords and start using Generative AI to make smarter, faster, and more impactful product decisions?

This course is your hands-on, practitioner-first guide to integrating Generative AI into every stage of the product lifecycle. From user research and discovery to building lightweight apps and working with cutting-edge tools like RAG and local LLMs, you'll walk away with real skills — not just theory.

In this course, you will:

• Apply ChatGPT, Claude, and Google AI Studio to real product management workflows — from ideation to delivery

• Execute AI-powered user research and synthesize large volumes of customer feedback in minutes using tools like NotebookLM

• Build AI-enhanced applications and run GenAI Python code in Google Colab — no deep technical background required

• Implement Retrieval-Augmented Generation (RAG) with practical code walkthroughs designed specifically for PMs

• Run local Large Language Models using Ollama and understand when and why that matters for your product

• Master prompt engineering techniques that unlock deeper product insights from any AI model

• Navigate the critical challenges of hallucination and bias so you can responsibly ship AI-powered products

Generative AI isn't a future skill — it's a present-day competitive advantage. PMs who can fluently work alongside AI tools are already shipping better products, running faster discovery cycles, and making more confident, data-backed decisions. This course equips you to be one of them.

Throughout the course, you'll complete hands-on activities including live tool demos, code walkthroughs in Google Colab, real-world research synthesis exercises, and RAG implementation projects — all grounded in the day-to-day realities of product work.

What sets this course apart is its unapologetically practical approach. Every lecture is designed around tools you can open today and workflows you can plug into your product process tomorrow. There's no fluff, no endless slides — just real use cases, real code, and real outcomes for PMs at any technical level.

Enroll now and start building the AI-powered product instincts that will define the next generation of great PMs.