Scale Enterprise AI with JHU: Strategy, Governance & Execution

Yes, the AI for Senior Executives Program comprehensively covers enterprise AI deployment, governance, and agentic AI and is specifically designed for business leaders. The program provides senior professionals and decision-makers with the strategic, operational, and cross-functional execution skills needed to safely and effectively lead AI transformation across their enterprise.

The primary real-world project in the AI for Senior Executives Program is the "Shark Tank"-Style Capstone Project, which focuses on building a production-ready Enterprise AI Roadmap. It occurs during Phase 4 of the program, specifically between Weeks 20 and 22. It is structured as a high-stakes, boardroom-style final showcase where participants develop and pitch a practical AI strategy.

The program is taught by Johns Hopkins faculty, AI researchers, government and policy experts, and industry executives with expertise in AI, Machine Learning, Cybersecurity, governance, and enterprise transformation. Key faculty and mentors include Dr. Ian McCulloh, Dr. Jane Pinelis, Dr. Jim Kyung-Soo Liew, Dr. Ralph Semmel, Dr. Mark Dredze, Dr. Bart Paulhamus, and Dominic Delmolino.

The AI for Senior Executives Program prepares leaders to make highly effective, strategic AI decisions for their specific organizations through a combination of tailored applications, strategic alignment, and risk management. Ultimately, the program shifts a leader's perspective so they can view AI not just as a technological capability but as a strategic lever for driving long-term competitive advantage in their specific market.

To build AI governance frameworks that manage risk, compliance, and bias, your organization must implement practices that address the unique challenges of deploying AI in high-stakes environments. While the exact step-by-step methodologies are taught within Johns Hopkins University’s AI for Senior Executives Program, the provided materials outline the key strategic areas you must focus on to create these frameworks:

• Implementing responsible AI principles: You need to establish foundational principles that actively mitigate organizational risk and ensure the ethical deployment of AI models.
• Managing security, bias, and compliance: Your framework must include rigorous standards to continuously assess AI systems for bias, protect enterprise security, and maintain strict compliance with regulatory requirements.
• Developing change management practices: Successful governance goes beyond technology; it requires embedding structural change management practices that support long-term organizational transformation and responsible AI adoption across your teams.

The program is designed for experienced professionals, senior leaders, executives, and business decision-makers looking to lead AI transformation initiatives within their organizations.

Yes. The program is structured for non-technical and technical leaders alike and focuses on strategic AI understanding rather than programming skills.

Yes. Admissions are conducted on a rolling basis, and applications may close once all seats are filled. Early application is recommended.

Interested candidates must complete an online application form. Eligible applications are reviewed by a panel from Great Learning before selected candidates receive an offer letter.

The program fee is $16,000.

Yes. Interested applicants can contact the Program Advisor for information on payment plans, available offers, and eligibility for financial assistance.

Yes. Eligible participants can unlock a 15% discount on select Johns Hopkins University Whiting School of Engineering Executive Professional Education programs after successful completion.

Yes, the 4-day on-campus immersion is an integral part of the program curriculum. However, participants should contact the program advisor for details, as travel, accommodation, and related personal expenses are typically handled separately.

The program equips leaders with frameworks and practical strategies to move AI initiatives from experimentation to enterprise-wide deployment while aligning AI investments with measurable business outcomes.

Yes. The curriculum focuses on overcoming “pilot purgatory” by teaching leaders how to deploy scalable AI systems, structure AI-first organizations, and drive sustainable AI adoption.

Yes. The program is designed for emerging leaders and experienced professionals seeking to build strategic, operational, and governance capabilities for AI-focused leadership roles.

Participants develop expertise in AI strategy, governance, digital transformation, organizational design, AI risk management, data-driven decision-making, and enterprise AI implementation.

Yes, the AI for Senior Executives Program from Johns Hopkins University is specifically designed for business leaders who need to make strategic AI decisions without coding expertise.

The curriculum includes dedicated modules on scaling AI initiatives, evaluating cloud infrastructure, managing vendor partnerships, controlling costs, and assessing “buy vs. build” strategies. You will also develop executive-level AI intuition to confidently evaluate AI systems, understand risks, and align technology investments with business goals and ROI.

By the end of the program, you will apply these learnings to build a production-ready Enterprise AI Roadmap with architecture planning and financial projections tailored to your organization.

Yes. The curriculum is specifically designed to build executive-level AI intuition and strategic understanding without requiring participants to write code or have prior technical expertise.

To effectively govern and scale Generative AI adoption without losing control of risk and compliance, senior executives should transition from fragmented experiments to structured, enterprise-wide implementation using targeted strategic frameworks. The Johns Hopkins University AI for Senior Executives Program outlines a comprehensive approach for leaders to achieve this.

The program teaches executives how to:

• Build executive-level AI intuition to confidently evaluate AI systems and make informed governance decisions without coding expertise.
• Establish responsible AI governance frameworks to manage compliance, bias, security, ethics, and organizational risk.
• Align AI initiatives with business goals, KPIs, and long-term enterprise growth strategies.
• Scale AI beyond pilot projects through informed infrastructure, vendor, and “buy vs. build” decisions.
• Design AI-first teams, workflows, and operational structures that integrate AI into core business functions.
• Develop a production-ready Enterprise AI Roadmap with prioritized use cases, architecture planning, and financial modeling tailored to their organization.

Yes, the AI for Senior Executives Program is highly relevant for leaders in non-technology sectors such as Healthcare, Finance, and Government. The curriculum is explicitly structured for both non-technical and technical leaders, emphasizing strategic understanding, governance, risk management, and enterprise implementation rather than coding skills.

The program takes an interdisciplinary approach designed to offer a holistic understanding of AI's impact across different sectors. It specifically addresses the needs of these complex and highly regulated industries through its curriculum, partnerships, and faculty expertise.

Completing the AI for Senior Executives Program from Johns Hopkins University provides distinct, measurable returns for both your individual career trajectory and your organization's operational success.

ROI for Your Career

• Earn a Certificate of Completion from the Whiting School of Engineering, strengthening your executive AI credentials and leadership profile.
• Develop practical, non-technical AI expertise to confidently evaluate AI systems, make strategic decisions, and lead AI initiatives without coding knowledge.
• Build valuable connections through the 4-day on-campus immersion at Johns Hopkins University’s Homewood Campus with peers, faculty, and Applied Physics Lab experts.
• Gain continued access to Johns Hopkins University thought leadership, webinars, and executive education opportunities, including a 15% alumni discount on select future programs.

ROI for Your Organization

• Create a production-ready AI roadmap through a capstone project focused on solving a real business challenge within your organization.
• Learn how to move beyond isolated AI pilots and scale AI adoption across functions to drive measurable business impact.
• Strengthen decision-making around AI investments, infrastructure, vendor partnerships, and buy vs. build strategies while aligning AI initiatives with business KPIs.
• Implement responsible AI governance frameworks addressing risk, compliance, bias, and security in enterprise environments.
• Design AI-first workflows and teams that integrate AI into core operations and unlock long-term business value.