Bolstering your knowledge in theory and practice
A healthy blend of theory and practical experience is essential for building competency. In this section, we will explore an overview of skills, resources, and credentials that can set you up for success when you’re approaching a career as an AI PM. Theory provides a solid foundation for understanding AI concepts like ML algorithms, data science, and AI ethics, but practical experience helps an AI PM hone in on real-world challenges like scaling, model deployment, and integrating user feedback. Combining the two allows AI PMs to build a career around making informed product decisions and anticipating potential issues.
Theory
We started this book with an overview of the ML landscape in Part 1 because it represents the theoretical foundation we need to build on. If you’re interested in a career as an AI PM, you’ll have to show that you have some understanding of the basic building blocks of AI. You won&...
