Data science & AI product management mastery

AI adoption has exploded 270% in just the past few years. Companies are scrambling to implement ChatGPT, machine learning models, and data science projects. But here's the problem - most don't know how to manage these initiatives. That's where AI Product Managers come in. You're the bridge between business stakeholders who want "AI magic" and data scientists who speak in algorithms and neural networks. Meet your guide: Danielle Thé, Senior Product Manager for Machine Learning with real experience at Google and Deloitte Digital. She's not teaching theory - she's sharing what actually works when you're managing AI products at scale. Even if you're completely new to both product management AND AI, we've got you covered. The course starts with absolute fundamentals: what's the difference between data analysis and data science? Algorithm vs AI? Supervised vs unsupervised learning? Then we build up to advanced topics like managing ML teams, AI ethics, and full product lifecycles. You'll master the complete journey: business strategy for AI projects, user research for data products, data sourcing and management, model development and deployment, team leadership, and crucial topics like bias and privacy. The career opportunity is massive: average PM salary is $128K, but AI PMs command even more. Plus, you're positioning yourself at the center of the biggest technological shift since the internet.