AI and Machine Learning Product Management

Building an AI-driven product requires more than standard management skills; it demands a specialized understanding of data lifecycles and model behavior. This course provides a clear path for those looking to navigate the unique challenges of artificial intelligence and machine learning. You will learn how to transform business problems into technical requirements and manage the uncertainty inherent in intelligent systems. What you'll learn: - Understand foundational AI and machine learning terminology and core concepts - Define measurable KPIs and success metrics specific to probabilistic product features - Manage the end-to-end AI lifecycle from data acquisition to model deployment - Evaluate modern AI patterns including Generative AI and Retrieval-Augmented Generation (RAG) - Communicate technical requirements effectively with data science and engineering teams - Apply ethical frameworks to address bias and privacy concerns in AI products The course begins with essential definitions and the fundamentals of how models learn before moving into strategic planning and operational management. This program is designed for beginners and aspiring product managers who want to lead technical teams without needing to write code. Start your journey into AI product leadership today.