AI Product Manager

Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Discover how AI and ML technologies can revolutionize business processes, from automating tasks to enabling smarter decision-making and innovation for a competitive edge.

Learn how techniques such as recommendation engines and clustering algorithms can be used to create personalized product experiences.

This lesson covers regressions and time series basics, how they're used in industry, and how to consider the data requirements to train these models.

Dive deeper into each step of the supervised machine learning process, from data understanding to model evaluation, then learn how to combine these approaches with computer vision technology

Learn how data can affect the performance of an AI system and determine whether a bespoke dataset is needed, then practice developing a data annotation plan

Collaborate with stakeholders, enhance communication, and develop roadmaps for AI products. Develop skills in influencing without authority and the RICE prioritization framework.

Learn about text-based models and interfaces and their unique challenges and opportunities for AI products

AI is developing quickly and often sounds more like fiction than reality. In this lesson, we'll cut through the hype and focus on the real-world building blocks that make or break a great product.

Explore AI impact assessment, success metric definition, bias identification, mitigation techniques, and best practices in AI product management.