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Application closes 29th Jan 2026
PROGRAM OUTCOMES
Equips learners to enhance AI strategy and align technology with business outcomes
Understand AI & ML algorithms, their real-world applications, and how Generative AI is used to add business value
Master AI project management and strategically align AI applications with business goals and limitations
Ensure fairness in AI by identifying and preventing bias while complying with ethical and legal standards
Evaluate, optimize, and manage AI models to drive data-driven decision-making and lead high-performing AI teams
#6 National University Rankings
U.S. News & World Report, 2025
#13 Best Global University
U.S. News & World Report, 2024
KEY PROGRAM HIGHLIGHTS
Learn from expert JHU faculty and industry leaders.
Participate in monthly live sessions conducted by Johns Hopkins University faculty, which offer cutting-edge knowledge and practical guidance on AI strategy.
Participate in interactive, mentor-led sessions where industry experts present real-world case studies, providing deep insights into AI applications in business.
Gain specialized knowledge in the latest AI technologies, including Generative AI, and learn to manage large-scale AI projects effectively.
Access a Dedicated Program Manager and Academic Learning Support, including discussion forums and peer groups, to facilitate a comprehensive learning experience.
Upon successful completion, earn 6 CEUs and a prestigious certificate from Johns Hopkins University, recognizing your proficiency in AI Business Strategy.
Skills you will learn
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Professionals seeking to lead AI-driven innovation within their organizations.
Project Managers
Who want to develop an understanding of Artificial Intelligence and its applications to implement AI-driven solutions
Engineering and Technology Managers
Seeking to strategically implement AI by aligning applications with business goals and recognizing limitations
Management and Technology Consultants
Aiming to advise clients on analyzing, designing, and developing AI strategies and solutions
Mid to Senior Leadership Professionals
Looking to leverage AI’s potential to drive innovation and strategic growth
C-Suite Executives
Focused on implementing AI strategy and leading organizational change
Entrepreneurs
Looking to use AI to scale operations, improve customer experiences, and make data-driven strategic decisions
Our pedagogy is designed to ensure career growth and transformation
Learn critical concepts through live masterclasses and recorded video lectures by JHU faculty
Clarify your doubts and gain practical skills through live mentorship sessions with industry experts
Work on projects to apply the concepts & tools learnt in the module
Our dedicated program managers will support you through your learning journey
Certificate Program in Generative AI & Agents Fundamentals
Drive innovation through GenAI and AI Agents
Reach out to your Program Advisor for more details
* Image for illustration only. Certificate subject to change.
Elevate your expertise with our meticulously crafted AI Business Strategy program, designed to equip professionals with the strategic and practical knowledge necessary to lead AI-driven transformations. The curriculum has been developed by leading faculty from Johns Hopkins University, blending theoretical foundations with real-world applications to ensure a robust learning experience.
This module helps learners navigate the complex and evolving AI ecosystem by introducing key terms, concepts, and business applications of AI. It sets the foundation for understanding how AI drives value and how to approach AI implementation strategically.
This week, learners will break down common buzzwords such as Artificial Intelligence, Data Science, Machine Learning, Deep Learning, and Generative AI. They’ll explore the practical uses of AI in enhancing judgment, interaction, and automation within business functions. The R.O.A.D. framework will be introduced to help structure and manage AI projects from planning to execution.
This module equips learners with a strong foundation in Machine Learning and its applications in business. It covers algorithm selection, performance evaluation, and the importance of clean, well-labeled data. Through practical examples, learners will understand how to design effective AI/ML systems for various organizational challenges.
This week, learners will be introduced to core Machine Learning types and applications across domains. They will explore the AI lifecycle and learn model evaluation techniques using precision, recall, F1-score, and accuracy. Overfitting and underfitting will also be covered to help learners assess model effectiveness.
This week, learners will examine key algorithms such as Support Vector Machines, Naïve Bayes, Decision Trees, Random Forests, and Neural Networks. Learners will learn how to compare and select algorithms based on strengths, weaknesses, and trade-offs for different business problems.
This week, learners will explore the fundamentals of data structures and types, including nominal, ordinal, and categorical data. They will learn how to assess labeling quality, understand cognitive limits, and evaluate trade-offs between data size, consistency, and quality
This module focuses on optimizing AI system performance while ensuring fairness and ethical compliance. Learners will examine resource management strategies, understand AI bias, and study international regulations that govern ethical AI deployment.
This week, learners will study memory usage in AI systems and learn strategies for managing memory and balancing computational efficiency. The week will emphasize optimizing resources to enhance AI solution performance.
This week, learners will explore various forms of bias: algorithmic, human, and measurement, and learn mitigation strategies using risk-based and human baseline approaches. Topics such as data privacy, international regulations, and principles of Responsible AI will also be discussed.
This module helps learners understand the rapidly evolving field of Generative AI. It provides a conceptual foundation for how key technologies such as Convolutional Neural Networks, Transformers, and Large Language Models operate.
This week, learners will explore the core components of Generative AI, including the architecture and function of Convolutional Neural Networks, Transformers, and Large Language Models. They’ll examine how these models enable today’s GenAI tools and conclude with a discussion on practical business applications and emerging opportunities in the field.
This module offers a strategic perspective on managing AI initiatives within organizations. Learners will study team roles, talent transitions, project design, and value realization. The module prepares learners to lead large-scale AI projects with agility, inclusivity, and accountability.
This week, learners will identify essential AI project roles, determine what can be automated, and understand the AI talent supply chain. The week will also focus on building cognitively diverse teams and assessing performance to ensure meritocracy and innovation
This week, learners will explore how to achieve value realization by establishing strong data governance and designing scalable operating models. Learners will also study continuous improvement methods and custom solutions for project execution
This week, learners will be introduced to project delivery at scale using agile methodologies. The focus will be on identifying and managing risks, optimizing delivery, and ensuring the sustainability of large-scale AI implementations.
Engage in hands-on projects and real-world case studies using emerging tools and technologies across sectors
2
hands-on projects
6+
real-world case studies
Government & Public Sector
Education
Healthcare
Customer Service & Support
Earn 6 continuing education units (CEUs) and a globally recognized credential from a top U.S. university and showcase it to your network
* Image for illustration only. Certificate subject to change.
Gain access to world-class coaching from renowned faculty and industry experts.
Manager, AI Continuing and Exec Ed, Johns Hopkins University
Served as Chief Data Scientist and MD of AI at Accenture Federal Services
Author of three books and over 100 peer-reviewed papers
Senior Faculty & Director Academics, Great Learning
30+ years of experience in data science, ML, and analytics.
Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
Interact with dedicated and experienced AI experts who will guide you through your learning journey
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.jpeg "Randhir Agarwal - Mentor"){kind=small}
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This is an indicative list and is subject to change based on the availability of faculty and mentors
Read about learners experiences with our program support, faculty, and mentors
The program transformed my approach from hands-on practitioner to strategic AI leader.
This program helped me move from practitioner to strategist. I went from ‘vibe coding’ to confidently using AI tools to streamline complex tasks. Today, I serve on a steering committee shaping our organization's AI strategy, grounded in ethics, standards, and responsible innovation. If you’ve explored AI out of curiosity, take the next step and connect it to broader business impact.
Read More
Associate Director , Office of Scientific Programs, American Psychiatric Association
16th Apr 2025
The program empowered me to advocate for AI-enabled strategies across teams.
This program gave me the structure to sharpen my thinking and apply AI in a way that’s both strategic and sustainable. Balancing work and study wasn’t easy, but the emphasis on ethical leadership, grounded decision-making, and real-world relevance made the journey worthwhile. Since completing it, I’ve advocated for AI-enabled strategies across teams, focusing on performance and purpose. If you’re navigating change, invest in clarity and use what you learn to shape the world you want to work in.
Read More
Product & Program Manager , Advanced Business Analytics, Roche
13th Apr 2025
The program empowered me to lead impactful AI projects in healthcare with real-world results.
This program gave me the strategic clarity I needed to bring my vision to life. During the learning journey, my team and I completed Radiologx AI, a diagnostic system now implemented in hospitals. It has reduced the diagnostic time by 40 percent and achieved 0.94 AUC in precision. The faculty’s guidance helped align business objectives with technical execution, making integration with hospital systems smooth. It was an inspiring experience that empowered me to lead meaningful AI projects in healthcare.
Read More
Founder & CEO , Med Frontier Supplies & Consultancy
14th Mar 2025
The program provided engaging material, knowledgeable faculty, and the flexibility to learn at my own pace
I’ve had a great experience with this program. The material was engaging, and I feel I’ve gained a wealth of new knowledge. The faculty was knowledgeable and always supportive. I especially appreciated the flexibility of the self-paced learning format, which allowed me to learn at my own pace without compromising on the learning quality.
Read More
, EXSUSA Corporate Group
6th Feb 2025
The course fee is USD 2,600
Understand AI & ML algorithms, their real-world applications, and how Generative AI is used to add business value
Master AI project management and strategically align AI applications with business goals and limitations
Ensure fairness in AI by identifying and preventing bias while complying with ethical and legal standards
Evaluate, optimize, and manage AI models to drive data-driven decision-making and lead high-performing AI teams
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Our registrations close once the requisite number of participants enroll for the upcoming batch
Register by completing the online application form
A panel from Great Learning will review your application to determine your fit for the program
After a final review, you will receive an offer for a seat in the upcoming cohort of the program
Admission closing soon
What is the Certificate Program in AI Business Strategy by Johns Hopkins University?
The Certificate Program in AI Business Strategy is a comprehensive 10-week online program developed by Johns Hopkins University (JHU). It is specifically designed for professionals who want to guide AI-driven transformations within their organizations.
The program is led by Dr. Ian McCulloh, who leads the AI continuing education at JHU. A blend of theoretical foundations and case studies, this program features live masterclasses and mentoring sessions with industry experts, fostering peer-to-peer learning and networking opportunities.
What will I learn in this program?
In this program, you will learn:
What are the key features of this AI Business Strategy course?
The Certificate Program in AI Business Strategy by Johns Hopkins University offers the following key features:
How is the Certificate Program in AI Business Strategy delivered?
The Certificate Program in AI Business Strategy is delivered online through:
Will I get any learning support in JHU’s Certificate Program in AI Business Strategy?
Yes, you will get personalized support through a dedicated program manager and an industry mentor who will guide you throughout the course.
What is the duration of this AI Business Strategy program?
The program is for a duration of 10 weeks.
Who are the faculty and mentors for this program?
The program features renowned faculty members from Johns Hopkins University and Great Learning, including:
The industry mentors include experts from various world-renowned companies:
Note: This is an indicative list and is subject to change based on the availability of faculty and mentors
How do I earn the certificate? What is the value of this AI certificate?
Upon successful completion of the program, you will receive a Certificate of Completion in AI Business Strategy from Johns Hopkins University.
This certificate adds significant value to your resume and demonstrates your proficiency in AI-driven business strategies.
You will also earn 6 CEUs (Continuing Education Units), which can contribute to your professional development.
What kind of projects will I work on during the program?
The sample projects for this program include
AI Strategy to Modernize Prisoner Management System
Develop a comprehensive AI strategy for a large government agency to modernize its prisoner management system. Address IT infrastructure challenges, identify AI opportunities, and create a roadmap for long-term operational efficiency and sustainability.
AI Strategy for Product Development
Create a detailed AI strategy for a large-scale educational project, including solution design, budget planning, team structure, and risk mitigation. Focus on ethical considerations and change management to ensure successful AI product development.
What sets this program apart from other AI for business courses?
This program is distinguished by several key features:
How can I contact the program team for more information?
For any queries or assistance, you can reach out to us at jhu.aibs@mygreatlearning.com or call us at +1 410 457 3342.
How can I prepare for the program before it starts?
You can familiarize yourself with foundational concepts in data science and AI by reviewing our pre-program material. This will help you get a head start on the program's core modules.
Who is this program designed for?
This AI program is ideal for managers, professionals, consultants, and business leaders who are looking to understand and integrate AI technologies into business strategies. It is also suitable for those aiming to drive innovation, design, and develop AI strategies and solutions.
What are the admission requirements for the program?
The admission requirements of this AI program include several steps:
1. Fill application form
Apply by filling a simple online application form.
2. Review Process
A panel from Great Learning will review your application to determine your fit for the program.
3. Join program
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Please note: Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
What is the program fee?
For the total program fee, please visit the fee section. You can also opt for flexible payment options, depending on your preference.
Is financial assistance available?
Yes, we provide financial assistance through various partners, allowing you to pay the program fee in installments. For more information, please contact our program advisors.
What are CEUs, and how are they useful?
Upon successful completion of the program, you will earn 6 Continuing Education Units (CEUs) along with a certificate of completion from Johns Hopkins University. CEUs are a measure of instructional time and reflect the estimated time an average student will spend completing the mandatory components of a course. CEUs are awarded upon successfully completing all course requirements, which may include assessments, assignments, evaluations, or a final project. Earning CEUs allows professionals to demonstrate their commitment to continuous learning and skill advancement.
How does artificial intelligence for business enhance decision-making for leaders?
AI tools also optimize operations, improve customer experiences, and even predict market shifts, enabling businesses to respond proactively and stay competitive.
Application Closes
29th Jan 2026
Johns Hopkins University is collaborating with online education provider Great Learning to offer the Certificate Program in AI Business Strategy. Great Learning is a professional learning company with a global footprint in 14+ 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.
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