AI Product Management

Practical AI Product Management with LLMs: Use Cases, Scoping, and Real-World Decision Making

What you’ll learn
Explain how market context and user needs influence product decision
Describe how product management practices evolve across the product life cycle
Demonstrate effective collaboration with cross-functional teams in a product environment
Apply agile principles to support product strategy and day-to-day execution

Requirements
This course is designed for people transitioning into product manager or who are early career product managers. No special skills or experience is needed prior to taking this course.

Description
This course provides a practical, beginner-friendly introduction to product management for professionals who want to understand how successful products are discovered, built, and evolved over time. Designed for learners who are new to product roles or transitioning from adjacent fields, the course focuses on building a strong foundation in product thinking, agile principles, and real-world decision-making.

Learners will explore how product managers understand market context and user needs, and how those insights guide product decisions. The course emphasizes how strategy connects to execution, showing how agile processes support ongoing learning, prioritization, and delivery. Rather than treating product management as a checklist of tasks, this course highlights the mindset and reasoning behind effective product work.

Throughout the course, learners will examine how product management practices change across different stages of the product life cycle, from early discovery through growth and iteration. Realistic examples and scenarios are used to illustrate how product managers balance user needs, business goals, and technical constraints. The course also places strong emphasis on collaboration, helping learners understand how product managers work with cross-functional teams such as engineering, design, marketing, and stakeholders.

In addition, the course introduces high-level concepts related to the use of artificial intelligence in product management. Learners will gain an overview of how AI is influencing product discovery, decision-making, and experimentation, without requiring technical expertise. This content is intended to build awareness and context rather than deep technical skills.

This course is not focused on advanced tools or technical implementation. Instead, it is designed to help learners build confidence in core product concepts, language, and ways of working. By the end of the course, learners will have a clear understanding of what product management involves, how agile supports product development, and how emerging trends like AI are shaping modern product teams.

Who this course is for
Aspiring product managers and product owners who want a practical introduction to product thinking and agile ways of working
Professionals transitioning into product roles who need to understand how strategy, users, and execution connect in real-world environments
Business analysts, project managers, or scrum masters looking to expand their product management knowledge and collaborate more effectively with product teams
Early-career professionals in tech-adjacent roles who want a foundational understanding of how products are built, evolved, and managed over time