This course aims to equip students with practical AI and ML knowledge for solving real-world business problems. The main focus will be demystifying these technical concepts to help future product managers and entrepreneurs to better communicate with technical people on the team. We will start with introducing the vocabulary used in AI and ML, and then dive into some technical discussions on how to build these AI technologies to solve specific business problems. The topics covered range from recommender systems, multi-sided platforms, human-centered AI and generative AI, with technical discussions on multi-objective optimization, machine learning and reinforcement learning, and large language models (LLMs).There will also be guest lecturers from across the industry to provide additional insights and real-world examples. This course is recommended for MBA 2 and MSx students who have already completed Data and Decisions, and MBA 1's with a strong statistical background.
3 units · GSB Letter Graded
This course aims to equip students with practical AI and ML knowledge for solving real-world business problems. The main focus will be demystifying these technical concepts to help future product managers and entrepreneurs to better communicate with technical people on the team. We will start with introducing the vocabulary used in AI and ML, and then dive into some technical discussions on how to build these AI technologies to solve specific business problems. The topics covered range from recommender systems, multi-sided platforms, human-centered AI and generative AI, with technical discussions on multi-objective optimization, machine learning and reinforcement learning, and large language models (LLMs).There will also be guest lecturers from across the industry to provide additional insights and real-world examples. This course is recommended for MBA2 and MSx students who have already completed Data and Decisions, and MBA1's with a strong statistical background.
Offered in Winter 2027 at Stanford University.