Join us for an exclusive information session featuring an engaging discussion between Dr. Ian McCulloh from Johns Hopkins University and Dr. Abhinanda Sarkar from Great Learning. The session will help you explore the key aspects of the Certificate Program in AI Business Strategy, including curriculum highlights, learning outcomes, and the career-advancing skills the program offers. This session is ideal for professionals across industries who want to leverage AI for innovation and business growth. A live Q&A session with the professors will follow the discussion.

Webinar Registration

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Agenda for the session

  • Overview of AI’s growing importance
  • Introduction to the 10-week program structure and curriculum
  • Insights into career pathways and skills you will gain
  • Live Q&A

About Speakers

Dr. Ian McCulloh

Faculty Leader in AI and Strategy, Johns Hopkins University

Dr. Ian leads the AI portfolio for Lifelong Learning at Johns Hopkins University, with faculty roles in Computer Science and Public Health. His research combines AI, neuroscience, and human behavior to create scalable AI systems that improve access to products, services, and healthcare. Previously, he was Accenture’s Chief Data Scientist, where he built and led a 1,200-strong Federal AI practice delivering advanced AI solutions for the U.S. Government. He holds a Ph.D. in Computer Science from Carnegie Mellon University and has authored several significant publications.

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

Dr. Abhinanda Sarkar is a seasoned academician with B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has held teaching positions at prestigious institutions such as MIT, Stanford, and the Indian Institute of Management. Dr. Sarkar's research focuses on business analytics, data mining, and risk management. His vast experience, including leadership roles at General Electric (GE) and IBM, ensures that you receive a robust education grounded in both theory and practical application in AI and data science.

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