AI is no longer just for engineers. Today, Product Managers are expected to understand AI concepts, identify AI opportunities, guide AI-driven solutions, and collaborate with data and engineering teams — even without knowing how to code. This course is designed to help you do exactly that.

In this comprehensive and beginner-friendly program, you will learn the fundamentals of AI, key concepts like machine learning, algorithms, data, and models, and understand how they practically fit into the product management lifecycle. You will explore real-world AI use cases across industries such as e-commerce, fintech, healthcare, streaming, social media, B2B, and B2C — learning how companies use AI for personalization, fraud detection, chatbots, churn prediction, recommendation engines, and more.

You will also learn how to conduct AI-assisted market research, user interviews, feedback analysis, idea validation, and feature prioritization. Using AI tools like ChatGPT, Claude, Aha!, Hyperwrite, UserPersona, Notion AI, and UIzard — you will create PRDs, user personas, wireframes, user stories, content, and mobile/web prototypes without needing design or technical expertise.

We also cover data fundamentals, ethics, privacy, accuracy, risks, bias, hallucinations, and responsible AI implementation. Finally, you’ll prepare for your career in AI Product Management — with resume guidance, interview prep, role expectations, and future growth strategies.

By the end, you’ll be confident, AI-aware, and ready to explore your path as an AI Product Manager — even if you’re just getting started.