Generative AI is revolutionizing the way businesses operate, with a staggering 78% of organizations already implementing AI according to a McKinsey survey. The impact is undeniable, as evidenced by Netflix’s highly successful AI-driven recommendations feature. As more companies seek to develop AI-powered products, the role of the AI product manager is becoming increasingly vital.
This comprehensive course delves into the crucial role of an AI product manager in overseeing product lifecycles that incorporate artificial intelligence. You’ll gain a deep understanding of the AI process and learn how to strike the right balance between traditional and AI skills, assemble the ideal team, and effectively communicate with stakeholders. The course also explores common challenges and reasons behind AI project failures, equipping you with the knowledge to navigate potential pitfalls.
Throughout the course, you’ll discover the various stages of AI product development and the phases of product management. You’ll also gain insights into AI’s far-reaching impact across industries, examining real-world use cases, commercialization strategies, and future trends.
This self-paced course offers a blend of instructional guidance through engaging videos and hands-on labs, allowing you to immediately apply what you learn. To showcase your newly acquired AI product manager skills, you’ll complete a final project that brings together all the concepts covered in the course.
| Week 1 | AI Methodology, Opportunities, and Challenges |
| Week 2 | Integrating AI into the Production Management Lifecycle |
| Week 3 | Final Submission and Evaluation |