49-795 Special Topics: Artificial Intelligence for Product Managers
12 units, Carnegie Mellon University
The principles and practices around artificial intelligence AI is increasingly critical to unlock the value of data, and transform business and ultimately human experience. It is so pervasive today that we use it daily probably without knowing it. This course will present students AI business case studies, the most popular AI techniques, algorithms, application recipes, best practices, and offer handson experience in implementing them to solve realworld problems. This course covers the spectrum of realworld AI implementations from natural language processing, speech recognition, facial recognition, landmark detection, and social network analysis to technical depth of popular algorithms, neural network backpropagation methods, probabilistic and nonprobabilistic methods. Students will accumulate firsthand experience on Google and Microsoft AI platforms, AI model design and training. This course is designed with the easytofollow approach by showing the stepbystep implementation of the core technologies. It presents recipes in major use cases to offer students a leap start on building AI solutions. With the willingtolearn attitude, students with either technical or business background will succeed in this course. Priority registration given to Integrated Innovation Institute students.
Prerequisites: none listed
Courseweave needs JavaScript to show sections, workloads and planning tools.