As generative AI takes center stage in our digital landscape, how can you harness its power and set yourself up for success in a rapidly changing world?

In this course, you will develop a conceptual understanding of the recent advances, current capabilities, and limitations of generative AI. You will build a framework to keep up with new developments and assess where the technologies might — and might not — go next. You will begin by exploring how generative AI tools represent a categorical leap in the cognitive capabilities of computers. You will examine the three conceptual ideas that unlocked these new capabilities — machine learning, reinforcement learning, and pretraining (i.e., the P in GPT) — along with the advances in data, computation, and algorithms that fueled these ideas. You will also build a comprehensive understanding of the capabilities and compromises that go along with these new cognitive capabilities. Finally, you will extrapolate the patterns from past general-purpose technologies to map out AI's potential societal and economic promises as well as its perils.

By the end of this course, you will have a solid foundation for making strategic decisions to utilize generative AI to transform your organization, enhance your productivity, and stay ahead of the curve.