In this Specialization, you’ll build practical generative AI skills for management, data analysis, and responsible organizational use. You’ll learn how generative AI and large language models work, where tools such as ChatGPT can add value, and how to weigh benefits, drawbacks, authorship, ethics, and social impact.

You’ll then apply generative AI to data analysis by developing analysis ideas, asking effective questions, generating functional code, visualizing data, and avoiding common mistakes. You’ll also prepare a Python environment and datasets that can support continued practice and optional sharing on GitHub.

For organizational decision-making, you’ll examine data management, transparency, risk and impact assessments, stakeholder needs, costs, governance expectations, and emerging AI policy and regulation in the United States, European Union, and G7. This Specialization is designed for managers and professionals who want to evaluate, use, and govern generative AI with stronger judgment.

Applied Learning Project

Across the Specialization, you’ll practice applying generative AI to realistic management and analysis decisions. In the data analysis course, you’ll use generative AI to develop analysis ideas, generate functional analysis code, visualize data, and check for common mistakes. A final activity helps you prepare a Python environment and datasets for continued learning, with the option to showcase work on GitHub. In the governance course, you’ll apply responsible AI analysis to decisions involving data management, transparency, risk and impact assessments, stakeholders, costs, policy, and regulation. You’ll also evaluate the benefits, drawbacks, ethical use, authorship, and broader impact of generative AI through course activities and assessments.