Leading Data & AI-Enabled Organizations: For Senior Leaders

Elevate your leadership in the digital age with our 2-day executive education course at Johns Hopkins University, designed to integrate AI technologies effectively within your organization. Gain strategic insights and practical frameworks from distinguished faculty with deep experience in industry, academia, and government, enhancing your data-driven decision-making capabilities. This dynamic, in-person course not only offers unparalleled networking opportunities but also equips you with the tools to transform AI challenges into actionable strategies, positioning you at the forefront of industry leadership.
Dates September 10–11, 2024
Duration 2 Days
Location JHU Bloomberg Center:
555 Pennsylvania Avenue NW, DC
Format In Person
Continuing Education Units (CEUs) 1.6
Investment $5,000
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Executive presenting a topic to a team

Throughout this intensive 2-day workshop, you will explore the practical and strategic aspects of integrating AI technologies within your organization. The course covers the essentials of AI implementation using a comprehensive 6D Framework—Decomposition, Domain Expertise, Data, Design, Diagnose, and Deployment. This structure ensures a holistic understanding of how AI can drive innovation and efficiency in your business processes.

Our program emphasizes hands-on learning, offering you the opportunity to engage directly with pioneering AI research and real-world applications. You will participate in interactive sessions that explore the ethical dimensions of AI, generative AI technologies, and strategies for responsible AI deployment.

By the end of this workshop, you will be equipped with the insights and tools necessary to transform your organization’s approach to AI, bridging the gap between theoretical knowledge and practical execution.

Course Description

In today’s rapidly evolving marketplace, leaders increasingly recognize the critical role of artificial intelligence (AI) in gaining a competitive edge. However, they often encounter significant challenges in integrating AI effectively. Leaders struggle with understanding which AI technologies most apply to their organization’s needs and how to measure the return on investment in these technologies. There is also a pressing need for robust data governance and ethical guidelines to manage AI implementation without risking privacy breaches or bias. These challenges underscore the importance of strategic insight and practical frameworks to leverage AI effectively, which is essential for sustaining growth and innovation in any business.

Our AI for senior leaders course will bolster your confidence and equip you with the essential knowledge to integrate AI technologies into your organization effectively. By enhancing your data-driven decision-making capabilities, you will be able to identify and eliminate inefficiencies, optimize resource allocation, and make more informed risk assessments. As you master these skills, you will not only drive innovation within your organization but also position yourself at the forefront of industry leadership. Join us to gain the tools and insights that will help you harness the full potential of AI, turning challenges into opportunities and visions into realities.

For additional details, download the course brochure.

Download Brochure

Course Topics

  • Holistic AI: Effectively Leading AI Implementation using the 6D Framework (Decomposition, Domain Expertise, Data, Design, Diagnose, and Deployment)
  • Ethics in AI
  • Pioneering Research with Mission Intent
  • Responsible AI
  • AI Test & Evaluation
  • Generative AI
  • DoD Projects & Case Studies
  • Human Systems Integration

Faculty

[ult_team img_hover_eft=”” image=”id^5557|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2022/07/jane-pinelis-scaled.jpg|caption^Studio Portrait of Jane Pinelis|alt^Profile photo of Jane Pinelis in a black shirt|title^Jane Pinelis|description^null” name=”Jane Pinelis, PhD” team_css=”.vc_custom_1719532474903{margin-right: 5px !important;}”]

Dr. Jane Pinelis currently serves as the Chief AI Engineer of the Applied Information Sciences Branch at Johns Hopkins University’s Applied Physics Laboratory (JHU/APL). With a background in defense and national security spanning over 15 years, Dr. Pinelis has held various critical positions of responsibility. Before her current role, she served as the inaugural Chief of AI Assurance at the Chief, Digital and AI Office (CDAO) and the Joint Artificial Intelligence Center (JAIC) at the Department of Defense, where she oversaw the Test and Evaluation, as well as Responsible AI directorates. Dr. Pinelis holds a BS in statistics, economics, and mathematics, an M.A. in statistics, and a Ph.D. in statistics, all from the University of Michigan, Ann Arbor.

[/ult_team]

[ult_team img_hover_eft=”” image=”id^2868|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2021/12/Ligozio-Headshot-scaled.jpg|caption^null|alt^Profile photo of Kevin Ligozio in a grey suit with tie|title^Ligozio Headshot|description^null” name=”Kevin Ligozio” team_css=”.vc_custom_1715373357854{margin-right: 5px !important;}”]Kevin Ligozio is the Chief AI Architect of the Asymmetric Operations Sector (AOS) of the Johns Hopkins University Applied Physics Laboratory (APL). AOS comprises approximately 1600 staff across three mission areas focused on advancing the nation’s ability to defeat the asymmetric threat, whether human-made or naturally occurring. Areas of focus include countering weapons of mass destruction, mission autonomy, cyber operations, biological threats, and terrorism. Mr. Ligozio oversees efforts to achieve these goals through the advancement and utilization of data science and artificial intelligence. Mr. Ligozio is also an adjunct professor at The Johns Hopkins University Whiting School of Engineering’s Computer Science Master’s Program. He received a B.A. in Mathematics and Computer Science from the State University of New York at Geneseo and an M.S. in Computer Science from the Rochester Institute of Technology.[/ult_team]
[ult_team img_hover_eft=”” image=”id^7664|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2023/08/Ratto_Christopher_00105451-861-scaled.jpg|caption^null|alt^Profile photo of Christopher Ratto with glasses in a suit and tie posing for a classic portrait.|title^Ratto_Christopher_00105451-861|description^null” name=”Christopher Ratto, PhD” team_css=”.vc_custom_1715373885358{margin-right: 5px !important;}”]Dr. Christopher Ratto is the supervisor of the Artificial Intelligence group in APL’s Research and Exploratory Development Department and has over 15 years of experience applying AI/ML to problems in national security and defense. The AI Group is comprised of over 40 scientists and engineers conducting foundational research in AI with potential for cross-mission impact, by working in performer and Government-team roles on 6.1-6.2 research programs and “inventing the future” for APL by experimenting emerging AI technologies and sharing lessons learned throughout the Lab. Prior to his current role, Dr. Ratto was a Program Manager in APL’s Sea Control Mission Area for Maritime Remote Sensing. His personal research interests include adversarial machine learning, generative AI, and remote sensing applications of interest to the intelligence community. Dr. Ratto holds a B.E.E. from The Catholic University of America, and an M.S. and Ph.D. in Electrical and Computer Engineering from Duke University.[/ult_team]

Testimonials

“Networking and learning from like-minded leaders [was] very helpful to understand common challenges and approaches—the exercises and class discussions and break time helped enable these exchanges.”

—USTRANSCOM Executive

“…the group left with improved understanding and the potential to become AI champions.”

“I appreciated hearing from experts in the AI field…we are making pockets of progress to innovate into our processes.”
—DoD Chief Information Officer Senior Executive

“Excellent program with [plenty of] discussion and network opportunities. Good balance between topics for me with limited AI/ML experience…great learning experience!”
—OUSD General Counsel Executive

“This course should be mandatory for Executives; the concepts are foundational to providing warfighting capabilities.”

“I appreciated hearing from experts in the AI field…we are making pockets of progress to innovate into our processes”
—DoD Chief Information Officer Senior Executive

“Great course, very worthwhile—does a good job balancing the capabilities with the concerns of AI.”

Course Details

Duration

2-Day Workshop

Location

JHU Bloomberg Center
555 Pennsylvania Avenue NW
Washington, DC 20001

Dates

September 10 -11, 2024

Investment

$5,000/person

Networking

Meals are provided to facilitate networking and foster community among participants.

Workshop Registration

Please complete the registration form below to enroll in this workshop. After you register, you will receive a confirmation email with details about the workshop. If you have questions before registration, please reach out to us. The cost for the workshop is $5,000 per enrollment and can be paid via Credit or Invoice.

LL Course Registration Form

Registration Info

Registration Info

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WSE alumni receive a 15% discount on all our Lifelong Learning programs.
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Johns Hopkins Medicine, Johns Hopkins Health Systems, and Johns Hopkins Applied Physics Lab employees receive a 20 percent tuition scholarship on all programs. Please enter your JHEDID.
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After you submit your registration, someone from our team will reach out to work with you on payment. In the meantime, please reach out to Kandice with questions at [email protected].

Tuition Remission

Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if:

  • you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days
  • you continue in a full-time position while enrolled in courses.

You receive 100% remission if:

  • your department certifies that the course benefits your professional development
  • your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation.

ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements.

Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission.

There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website.

You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.

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Department will assume cost

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