Episode Details

In this episode of Global Economic Press, Alex Brady discusses an exciting collaboration between the Johns Hopkins Whiting School of Engineering and Great Learning, a leading global educational technology company. Together, they have launched a groundbreaking Certificate Program in Agentic Artificial Intelligence, designed to equip professionals with the skills needed to build and govern autonomous AI systems. For more information about Great Learning, visit their website at https://www.mygreatlearning.com/. The 18-week online program is crafted by Johns Hopkins Engineering faculty and industry practitioners, targeting professionals in Science, Technology, Engineering, and Mathematics fields, as well as data and AI practitioners, product managers, and technical leaders. The program aims to prepare participants to develop autonomous, goal-driven AI agents capable of perceiving context, reasoning through complexity, and acting independently in dynamic environments.

As the adoption of AI scales, Gartner projects that by 2028, 15 percent of day-to-day business decisions will be made autonomously by AI, with agentic capabilities embedded in one-third of enterprise software. This program is structured to address this growing demand, beginning with foundational Python programming and advancing through Large Language Models, Prompt Engineering, and Retrieval-Augmented Generation. Participants will explore autonomous single-agent systems, Multi-Agent Systems, human-agent interaction, and more, culminating in a shareable e-Portfolio. Paul Huckett, Associate Dean at Johns Hopkins, emphasizes the importance of understanding how to govern these intelligent systems, while Arjun Nair, Co-Founder of Great Learning, highlights the shift towards AI systems as decision-makers. Delivered in a flexible online format, the program includes recorded video lectures, live mentorship sessions, and masterclasses, awarding a Certificate of Completion and Continuing Education Units from Johns Hopkins upon successful completion.