Scale Your AI Experiments And Drive Transformation
AI For Senior Executives Program
Application closes on
29th May 2026
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AI for Senior Executives Program
Application closes 29th May 2026
Immersive learning experience
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4-day on-campus immersion
Experience a 4-day immersion. Engage with Johns Hopkins University’s leading institutions: the Malone Center for Engineering in Healthcare and the Data Science and AI Institute (DSAI).
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Shark Tank-style capstone project
Work on a real-world problem statement and present your AI-driven solution to JHU faculty in a Shark Tank-style evaluation. Select ideas are shortlisted for final development.
Program Outcomes
Elevate your career in AI leadership
Master AI strategy, drive enterprise transformation, and lead with confidence
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Translate AI strategy into execution using structured frameworks and enterprise-scale roadmaps
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Scale AI systems beyond pilots, make "buy vs build" decisions, and design systems that drive value
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Align AI with business outcomes by linking data maturity and AI initiatives to strategic KPIs
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Design AI-first organizations by structuring teams and workflows to integrate AI and unlock value
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Lead with governance by implementing frameworks to manage risk, bias, and security in AI environments
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Develop technical intuition to evaluate AI systems and make high-stakes decisions without coding
Earn a certificate of completion from Johns Hopkins University
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#7 National University Rankings
U.S. News & World Report, 2026
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#2 Computer Information Technology
U.S. News & World Report, 2026
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#14 Best Global University
U.S. News & World Report, 2026
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#1 Biomedical Engineering Program
US News and World Report, 2026
Get the Johns Hopkins advantage
Learn from distinguished faculty with academic rigor and real-world experience leading AI practices at Fortune 500 companies.
Earn a certificate of completion from Johns Hopkins University, a university consistently ranked among the top universities globally.
Access a research-driven curriculum based on the latest AI developments from the leading institution in research.
Benefit from an interdisciplinary approach leveraging strengths across computer science, engineering, medicine, and data science.
Ranked #2 Computer Information Technology by U.S. News & World Report, 2026
Ranked #7 National University and #14 Best Global University by U.S. News & World Report, 2026.
*All benefits are subject to change
KEY PROGRAM HIGHLIGHTS
Why choose this program
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Blended Learning Format
Built for busy executives: self-paced modules, live sessions with JHU faculty and industry mentors, and a 4-day on-campus immersion
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Exclusive Access to Institutions
Visit the Malone Center for Engineering in Healthcare and the Data Science and AI Institute (DSAI) at Johns Hopkins University
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Peer Connections and On-Campus Immersion
Build connections with peers through in-person interactions at the 4-day on-campus immersion at JHU, featuring faculty-led deep dives and workshops
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Shark Tank-Style Capstone Project
Solve real-world problems, build your AI roadmap, collaborate, refine with mentors, and pitch to JHU faculty in a final showcase in Shark Tank-style evaluation
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Research-Backed Curriculum
Build a working understanding of AI, machine learning, and agentic systems to make informed strategic decisions without a technical background
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Learning Support
Get personalized assistance with a dedicated Program Manager and academic learning support via GL community, project discussion forums, and peer groups
Skills you will learn
AI Strategy Execution
AI System Scaling
Business Outcome Alignment
AI-First Organization Design
AI Governance
Technical Intuition
Enterprise AI Roadmapping
Sustained Competitive Advantage
AI Strategy Execution
AI System Scaling
Business Outcome Alignment
AI-First Organization Design
AI Governance
Technical Intuition
Enterprise AI Roadmapping
Sustained Competitive Advantage
view more
- Overview
- Learning Path
- Curriculum
- Projects
- Certificate
- Faculty
- Mentors
- Fees
- FAQ
This program is ideal for
Senior leaders with capabilities to define, implement, and scale AI initiatives effectively
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Senior Executives and Decision-Makers
CXOs, business heads, and senior leaders accountable for defining AI strategy and driving organization-wide adoption
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Functional and Digital Transformation Leaders
Leaders across functions that plan to move beyond pilots to scale AI and drive enterprise-wide digital transformation
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Emerging Leaders Preparing for AI Leadership Roles
Experienced professionals looking to step into AI-focused leadership roles with the strategic and operational capability to lead AI initiatives
A 6-Month Comprehensive Pathway
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Foundations and Technical Strategy
Set the strategic base covering AI leadership foundations, from statistics to Agentic AI, and data as a strategic asset
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Scaling and Organizational Design
Drive deployment and structural transformation with AI and Agentic AI at scale, while building an AI‑first organization
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Execution and Governance
Implement AI strategy and roadmapping to mitigate risk, embedding responsible AI and governance to drive sustainable impact
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Capstone and Immersion
Finalize roadmapping and executive deep dive with the enterprise AI roadmap capstone and an on-campus residency
Comprehensive Curriculum
Designed by the distinguished faculty at JHU, the AI for Senior Executives Program is led by world-class professors and industry experts. The program aims to equip senior leaders with the strategic, technical, and leadership capabilities required to define, implement, and scale AI initiatives effectively and responsibly across their enterprise.
Phase 1: Foundations and Technical Strategy
Core Focus: Setting the Strategic Base
Weeks: 1-2: Course 1: AI Leadership Foundations
Weeks: 3-4: Course 2: From Statistics to Agentic AI
Week 5: Learning Break
Weeks: 6-7: Course 3: Data as a Strategic Asset
Phase 2: Scaling and Organizational Design
Core Focus: Deployment and Structural Change
Weeks: 8-9: Course 4: AI and Agentic AI at Scale
Week 10: Learning Break
Weeks: 11-13: Course 5: Building the AI-first Organization
Phase 3: Execution and Governance
Core Focus: Implementation and Risk Mitigation
Weeks: 14-16: Course 6: AI Strategy and Roadmapping
Week 15: Learning Break
Weeks: 17-18: Course 7: Responsible AI and Governance for Sustainable Impact
Week 19: Learning Break
Phase 4: Capstone and Immersion
Core Focus: Final Roadmapping and Executive Deep Dive
Weeks: 20-22: Capstone: Building the Enterprise AI Roadmap
Week 23: Learning Break
On-Campus Residency
Capstone Project
A platform to apply your expertise to drive organizational change or pursue innovative ventures
“Shark Tank”-Style Capstone
AI Transformation: Strategic Architecture & ROI Blueprint
Description
Strategic Objective: The capstone project focuses on the intersection of advanced technology and executive leadership. The goal is to identify a high-value organizational challenge, ranging from operational inefficiencies to untapped data opportunities, and solve it through a scalable Artificial Intelligence framework tailored for the enterprise level.
Skills you will learn
- High-Value Problem Identification
- AI Visioning & KPI Mapping
- Data Readiness & Maturity Assessment
- Algorithm & Technology Selection
- Infrastructure & "Buy vs. Build"
- ROI Forecasting & Cost Management
- MVP Prioritization & Process Mapping
- Ethical AI Leadership & Risk Mitigation
- Governance & Change Management
- AI-First Team Structuring
- Strategic Pitching
ACADEMIC PROGRAM DIRECTOR
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Dr. Ian McCulloh
Director of AI Executive & Professional Education, Johns Hopkins University
Dr. Ian McCulloh leads the Artificial Intelligence 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 scal...
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LinkedIn Profile
University LinkLearn from world-renowned faculty with domain expertise
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Dr. Jane Pinelis
Expert in artificial intelligence assurance and governance
Chief AI Engineer at Johns Hopkins University's APL
AI specialist in high-stakes ethical deployment systems
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Dr. Jim Kyung-Soo Liew
AI transformation leader, Founder and President of SoKat
A leader in building production-grade AI systems
Founder and president of SoKat
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Dr. Ralph Semmel
Director of the Applied Physics Lab (APL) from 2010 to 2025
Oversaw landmark advances across AI, autonomy, cybersecurity
Holds professorial appointment in JHU's Department of Computer Science
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Dr. Mark Dredze
Inaugural Director of the JHU Data Science and AI Institute
Statistical models of language research in social media analysis
Work published across leading academic venues
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Dr. Bart Paulhamus
Chief of APL's Intelligent Systems Center
Over 20 years of experience in artificial intelligence
Leads a team of 130 research scientists and engineers
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Dominic Delmolino
Chief of APL's Intelligent Systems Center
Scaling a GovTech startup from zero to $200M+
Led 1,350+ technologists at Amazon Web Services
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Meet our mentors
Interact with dedicated and experienced AI experts who will guide you through your learning journey
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Michael Lively
Founder, QuantumAI
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Kunal Tanwar
Director, AI, Business Intelligence & Data Management, Google
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G Anthony Reina
Head of Machine Learning, Stealth BioTech Startup
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Sudhir Shandilya
Director, Digital Strategy, Transformation, and Operations Sanofi
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Jeremy Samuelson
Executive VP, AI and Innovation, Integrated Quantum Technologies
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Arup Das
Senior Director Innovation - AI-Data Products-Analytics, Faegre Drinker
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Abhishek Mittal
EVP, Chief Product & AI Officer, AML RightSource
Earn Globally-Recognized Credentials
Upon completion of the AI for Senior Executives Program, earn a Certificate from Johns Hopkins University
* Image for illustration only. Certificate subject to change.
Course Fees
The course fee is USD 16,000
Invest in your career
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Translate AI strategy into execution: Move from experimentation to enterprise-scale implementation
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Scale AI systems beyond pilots: Make informed “buy vs build” decisions that drive business value
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Lead with governance and responsibility: Implement frameworks to manage risk, bias, security, and compliance
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Drive sustained competitive advantage: Apply a systems-level perspective to embed AI as a long-term strategy
Admission Process
The program follows a simple 3-step application process
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Apply
Fill out an online application form. An application fee of $100 is required.
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Review
Eligible applications will be reviewed by a panel from Great Learning
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Join Program
An offer letter will be sent to the selected candidates
Program Eligibility
- A minimum of 10 years of work experience in functional, technical, or business roles
- A graduate degree with a strong academic track record is preferred.
- A minimum of one professional reference to discuss your candidacy in detail.
- Fluency in written and spoken English.
Batch Start Date
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USA & Canada · 24th Oct 2026
Admission closing soon
Delivered in Collaboration with:
Johns Hopkins University is collaborating with online education provider Great Learning to offer the AI For Senior Executives Program. Great Learning is a professional learning company with a global footprint in 170+ countries. Its mission is to make professionals around the globe proficient and future-ready. This program leverages JHU's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. Great Learning manages the enrollments and provides industry experts, student counselors, course support and guidance to ensure students get hands-on training and live personalized mentorship on the application of concepts taught by the JHU faculty.
Application closes
29th May 2026
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