Join us for an exclusive information session featuring an engaging discussion with Dr. Ian McCulloh and Dr. Anthony (Tony) Johnson from Johns Hopkins University. This session will walk you through the key details of the comprehensive Certificate Program in Applied AI, offered by Johns Hopkins University, one of the most prestigious AI research and education institutions, in collaboration with Great Learning.
You’ll receive an in-depth overview of the program structure, curriculum highlights, learning format, and admissions process. This session is designed for professionals across industries who aim to build practical AI fluency to solve complex business challenges, drive innovation, and future-proof their careers. It is ideal for those transitioning into AI roles, upskilling in advanced AI techniques, or leveraging AI for strategic decision-making.A live Q&A with the speakers will follow.
Agenda for the session
- Overview of Johns Hopkins University and Why Applied AI Matters Today
- Introduction to the 5-month program structure and curriculum
- Key learning outcomes, who will benefit most, and program highlights
- Live Q&A
About Speakers
Dr. Ian McCulloh
Manager of Artificial Intelligence Continuing and Executive Education, Johns Hopkins University
Dr. Ian McCulloh leads the Artificial Intelligence portfolio for Johns Hopkins Engineering Executive and Professional Education. His research integrates AI, neuroscience, and human behavior to create scalable systems that expand access to products, services, and healthcare. He previously served as Accenture’s Chief Data Scientist, where he built and led a 1,200-member Federal AI practice delivering advanced solutions across the U.S. Government. Dr. McCulloh holds a Ph.D. in Computer Science from Carnegie Mellon University and has authored over 100 peer-reviewed publications.
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Dr. Anthony (Tony) Johnson
Sr. Professional Staff Member & Research Scientist, APL, Johns Hopkins University
Dr. Anthony Johnson is a research scientist at Johns Hopkins University Applied Physics Laboratory (APL), leading work in AI, robotics, data science, and advanced computing for national security. He also serves as Program Manager at the Whiting School of Engineering, overseeing programs that develop future technology leaders. Previously, he was Assistant Dean for Research and Director of two research centers. With 20+ years of experience in computational analysis and scientific leadership, Dr. Johnson earned his Ph.D. in Applied Mathematics from the Naval Postgraduate School.
