Drive Strategic AI Adoption for Business Impact with Johns Hopkins University

Certificate Program in AI Business Strategy

Application closes on 16th Jul 2026

Delivered in collaboration with Great Learning

Learn more about the course

Get details on syllabus, projects, tools, and more

Name

Mobile Number

By submitting this form, you consent to our Terms of Use & Privacy Policy and consent to be contacted via email, phone (including by AI-generated/pre-recorded voice calls), SMS, or WhatsApp.

Upskill Your Teams with Future-Ready Skills

Empower your workforce with programs from leading universities

Team Pricing

Maximize ROI with exclusive cost-effective plans for group enrollments
Team Learning Dashboard

Track progress & outcomes at the team level
Customized Learning Paths

Tailor the program to align with your team's goals and drive meaningful outcomes.

Enter your organisation name

This will help us customise the proposal plans

Transforming Businesses Through AI

Application closes 16th Jul 2026

Why should you join this program?

Strategic AI Program for Business Leaders and Decision Makers

Learn from JHU faculty and industry experts and build a strategic understanding of the AI lifecycle, including GenAI and Agentic AI, through 6+ case studies and 2 hands-on projects.
Learn from JHU, a Leading US Research University

Ranked #7 National University, #14 Best Global University, #2 in Computer Information Technology, reflecting JHU's leadership in research and innovation. (2026 Rankings)

LEARNING OUTCOMES

What will you learn to build and apply?

Through a structured learning journey, you will build the capability to:

Leverage GenAI and Agentic AI to automate complex workflows, drive innovation, gain a competitive advantage
Evaluate the AI landscape to determine if and how AI, GenAI, or Agentic AI fits a given business problem
Build an outcome-focused data strategy and select the right approach to deliver reliable, scalable results
Detect issues in AI and GenAI systems early, and establish governance for autonomous agentic systems
Turn AI ideas into board-ready business cases to secure funding and organ commitment
Build and lead high-performing, AI-ready teams and run AI projects from idea to impact

Earn a Certificate of Completion from Johns Hopkins University

#7 National University Rankings

U.S. News & World Report, 2026
#2 Computer Information Technology

U.S. News & World Report, 2026
#10 Most Innovative Schools

US News and World Report, 2026
#14 Best Global University

U.S. News & World Report, 2026
#1 Biomedical Engineering Program

US News and World Report, 2026

KEY PROGRAM HIGHLIGHTS

Why choose this program?

Learn from a Top-Ranked University

Learn from Johns Hopkins University faculty and industry experts through a structured curriculum and practical business applications.
Live Masterclasses by JHU Faculty

Learn through recorded lectures and attend faculty-led masterclasses covering AI strategy and AI Project Management.
Weekly Mentorship by Industry Experts

Learn from AI practitioners through interactive mentorship sessions featuring real-world implementation insights.
Comprehensive AI Strategy Curriculum

Build expertise in AI, GenAI, Agentic AI, Responsible AI, governance, and AI project management.
Real-World Projects & Case Studies

Build practical AI strategy skills through 2 hands-on projects and real-world case studies across industries.
Earn a Recognized Credential from Johns Hopkins University

Earn a globally recognized Certificate of Completion and 6 CEUs from Johns Hopkins University.

Skills you will learn

AI SOLUTIONING

AI PROJECT MANAGEMENT

STRATEGIC AI IMPLEMENTATION

GENERATIVE AI APPLICATIONS

MACHINE LEARNING FUNDAMENTALS

ETHICAL AI PRACTICES

AI MODEL EVALUATION

BUILDING AI TEAMS

Agentic AI Applications

AI SOLUTIONING

AI PROJECT MANAGEMENT

STRATEGIC AI IMPLEMENTATION

GENERATIVE AI APPLICATIONS

MACHINE LEARNING FUNDAMENTALS

ETHICAL AI PRACTICES

AI MODEL EVALUATION

BUILDING AI TEAMS

Agentic AI Applications

Who is the program for?

For business leaders and decision-makers looking for structured roadmap to evaluate and implement AI solutions

Project Managers

Who want to develop an understanding of Agentic and Generative AI and its applications to implement AI-driven solutions
Engineering and Technology Managers

Seeking to strategically implement Agentic and Generative AI by aligning applications with business goals and recognizing limitations
Management and Technology Consultants

Aiming to advise clients on analyzing, designing, and developing AI, Generative AI, and Agentic AI-powered 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, Generative AI, and Agentic AI strategies and leading organizational change
Entrepreneurs

Looking to use AI to scale operations, improve customer experiences, and make data-driven strategic decisions

How is the program learning experience?

Through a structured, application-oriented learning approach, lead the full AI lifecycle

Learn from Experts

Learn from JHU faculty and industry experts to lead AI initiatives aligned to business goals
Learn By Doing

Work on business problems using tools & build an e-portfolio of AI projects
Earn a University Credential

Earn a certificate of completion and 6 CEUs from Johns Hopkins University
Get Support Throughout the Learning Journey

Program managers will help you stay on track, navigate key milestones & complete the program

What will you learn in the program?

Meticulously crafted 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.

PRE-WORK: EVOLUTION OF ARTIFICIAL INTELLIGENCE

This module provides a historical overview of Artificial Intelligence, tracing its development from foundational concepts to current breakthroughs. Learners will explore the AI hype cycle, understand the convergence of related technologies such as Machine Learning and Data Science, and examine the real-world risks associated with AI adoption. Key concepts such as the ‘technology valley of death’ will also be introduced to help learners contextualize AI's practical limitations and challenges.

CONCEPTS COVERED

- History Of AI - AI Hype Cycle - Why AI Is Evolving Faster Now? - What Is AI? - Different Technologies Related To AI - Conceptualizing AI - Introduction To Machine Learning And Data Science - Applications Of AI - Risks Associated With AI - Technology Valley Of Death

MODULE 1: AI FUNDAMENTALS

This module builds a strong foundation in Artificial Intelligence (AI) by focusing on identifying and framing the right problems for AI-driven solutions, while exploring the AI lifecycle from concept to deployment. It also covers the R.O.A.D. framework for structured project execution aligned with business objectives, along with key methods for evaluating AI performance. The module also develops an understanding of common challenges, such as overfitting and underfitting, to support the development of reliable and robust models.

WEEK 1: THE AI LANDSCAPE

This week focuses on key concepts within the AI problem space, including how problems are identified and structured for effective AI solutions. It explores the AI lifecycle, outlining the progression from concept to deployment, along with the R.O.A.D. framework for AI project management to support structured execution. The week also introduces approaches to AI performance measurement and develops an understanding of common modeling challenges such as overfitting and underfitting.

MODULE 2: AI FOR BUSINESS

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.

WEEK 2: AI AND ML TECHNOLOGIES

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.

WEEK 3: OPTIMIZING DATA FOR BUSINESS SUCCESS

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

MODULE 3: RESPONSIBLE AI

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.

WEEK 4: OPTIMIZING AI RESOURCES AND PERFORMANCE

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.

WEEK 5: MITIGATING AI BIAS AND RISKS

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.

MODULE 4: GENERATIVE AND AGENTIC AI FOR COMPETITIVE ADVANTAGE

This module explores how Generative and Agentic AI create sustainable competitive advantage in organizations. It covers foundational technologies such as Convolutional Neural Networks, Transformers, and Large Language Models (LLMs), and their role in enabling modern generative systems. It extends to Agentic AI, focusing on systems that can plan, act, and make decisions autonomously, along with identifying agent-ready processes, value creation opportunities, and implementation roadmaps. Key concepts include agent types, design patterns, and emerging agentic platforms, alongside governance, trust, and accountability considerations for responsible deployment.

WEEK 6: GENERATIVE AI FOR BUSINESS VALUE

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.

WEEK 7: AGENTIC AI FOR BUSINESS AUTOMATION

This week introduces Agentic AI and the concept of AI agents, covering their evolution, core terminology, and different types. It develops the agentic mindset and explores key design patterns, along with methods for identifying agent-ready processes and generating business value. The week also provides an overview of leading agentic AI platforms and addresses governance, trust, and accountability in deployment.

MODULE 5: AI PROJECT MANAGEMENT

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.

WEEK 8: LEADING AI REVOLUTION

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

WEEK 9: DESIGNING SCALABLE AI PROJECTS

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

WEEK 10: MANAGING LARGE-SCALE AI IMPLEMENTATIONS

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.

SELF-PACED MODULE: CLAUDE-BASED AI WORKFLOWS

This module is designed to build practical capability in applying Generative AI and Agentic AI using the Claude ecosystem in real-world contexts. Learners build the ability to design, execute, and evaluate AI-driven workflows for real-world applications, supported by ~5 hours of structured learning.

Design and Execute AI Workflows

- Model selection and prompt engineering using Claude Chat - Agentic workflow design and orchestration using Claude CoWork - Plan → Approve → Execute → Iterate framework - Designing workflows with reasoning, tools, and multi-step execution - Applying concepts through real-world case studies

LIVE MASTERCLASSES

Attend live masterclasses led by Johns Hopkins University faculty to and gain unique insights into industry relevant topics

AI CONSULTING AND ADOPTION

Learn how to bridge technical expertise and organizational culture to drive successful AI adoption. Explore the role of informal leadership, strong communication, and well-designed pilot programs in fostering innovation and managing risk. Gain insights on building supportive environments for experimentation and shaping narratives that influence organizational acceptance of AI.

AI STRATEGY FOR AGENT-FIRST ORGANIZATIONS

Dive into core GenAI concepts, including LLMs, RAG, and Agentic AI, while understanding the risks of AI “workslop” and strategies to avoid it. Learn what truly defines GenAI-driven improvements and the characteristics of agent-first models through a practical case study of a corporate travel office agent.

AI PRODUCT DEVELOPMENT

Develop strategies to align business goals, technical teams, and agile development practices for successful AI adoption. Understand common project pitfalls and how to avoid them through clear communication and contextualized solutions. Explore real-world cases of AI integration and gain practical insights to build collaborative, high-impact AI initiatives within your organization.

ANTHROPIC MASTERCLASS

This masterclass covers the Anthropic AI landscape, exploring Claude models, Constitutional AI, and key safety and alignment principles. Learners will apply effective Prompt Engineering techniques, use the Claude API for tasks and integrations, generate structured outputs, build simple applications, compare Claude with other AI models, and evaluate ethical considerations for deploying AI systems.

SAMPLE CASE-STUDIES

Apply your learning through real-world case studies guided by global industry experts. Please note: All case studies and projects outlined are indicative and subject to change.

AI-Driven Organ Allocation

HEALTHCARE Develop an AI/ML solution for a healthcare system to optimize organ allocation by identifying and addressing medical decision-making biases, thereby increasing successful transplants and reducing patient mortality. Skills You Will Learn: AI, ML, Healthcare Analytics, Bias Mitigation

AI for Customer Service Automation

CUSTOMER SERVICE Automate customer resolution processes for a leading service provider using NLP and chatbots to reduce service center workload, improve customer experience, and enhance operational efficiency. Skills You Will Learn: NLP, Chatbot Automation, Process Optimization

Data Quality in Defense AI

DEFENCE Objective: Build an object detection system for a defense application and uncover how inconsistent data labeling leads to poor AI performance, technical debt, and costly rework, emphasizing the importance of clean data. Skills You Will Learn: Data Quality, Object Detection, AI Reliability

AI-Powered Online Extremism and Disinformation Assessment

PUBLIC SECTOR 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. Skills You Will Learn: AI Strategy, Predictive Analytics, Automation

What projects will you work on?

Work on real-world projects covering AI strategy, responsible AI, and large-scale AI implementation

2

Hands-on projects
Explore

Real-world applications

Education

AI Strategy for Product Development

Description

Objective: Create a detailed AI strategy for a large-scale educational project. Understand solution design, budget planning, team structuring, and risk mitigation. Develop approaches that integrate ethical considerations and change management to ensure successful AI product development.

Skills you will learn

AI Strategy
Product Design
Change Management

PUBLIC SECTOR

AI Strategy to Modernize Prisoner Management System

Description

Objective: 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.

Skills you will learn

AI strategy development
System modernization
Operational efficiency

Earn a certificate of completion from Johns Hopkins University

Earn 6 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.

Who are the faculty for the program?

Learn from renowned JHU faculty and build technical intuition to make credible, strategic decisions.

Dr. Ian McCulloh

Director of AI Executive & Professional Education, Johns Hopkins University

Served as Chief Data Science and MD of AI, Accenture Federal Services

Author of three books and over 100 peer-reviewed papers

Know More
Dr. Abhinanda Sarkar

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.

Know More

Who are the mentors for weekly live sessions?

Learn from seasoned AI industry mentors to apply concepts and build practical skills.

Dr. Sunil Kumar Vuppala

AI Partner, ArisGlobal
Randhir Agarwal

Director, Data Science & Data Engineering, Samsung Electronics
Balachandra Deshpande

Head of Data Science, Enterprise Minds, Inc
G Anthony Reina

Head of Machine Learning, Stealth BioTech Startup
Jeremy Samuelson

Executive VP, AI and Innovation, Integrated Quantum Technologies

What are the reviews for the program?

Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience.

From AI Concepts to Business Impact: A Strategic Learning Experience for Enterprise Leaders

"The Certificate Program in AI Business Strategy from Johns Hopkins University provided exactly what I was looking for: a clear, practical understanding of AI from a business and strategic perspective. As a senior enterprise architect, I appreciated the strong focus on non-technical aspects, including AI operating models, governance, value realization, and organizational impact. The program consistently emphasizes creating real business value rather than pursuing prestige AI projects, and it clearly highlights that high-quality, well-governed data is critical to success. The learning experience was engaging, well-structured, and directly applicable to real-world challenges. I highly recommend this program to professionals who want to lead AI initiatives with confidence and deliver meaningful outcomes. "

Read More

Yves Patrice Kerremans

Solution & Domain Architect , Crelan

5th Feb 2026
"Highly practical and application-oriented course exceeding expectations."

I participated in the Certificate Program in AI Business Strategy and it far exceeded my expectations. The program was highly practical and application-oriented, with concrete tools, frameworks, and real-world use cases I could immediately relate to my work. The content was truly state-of-the-art, especially around Generative AI and the strategic use of AI in business. The lecturers were outstanding: experienced experts who combined academic rigor with real industry insights. Equally impressive was the program support team, always responsive, professional, and genuinely committed to helping participants succeed. I would highly recommend this program to anyone who wants to not only understand AI, but also use it strategically to create real business impact.

Read More

Christoph Schühlmann

, Roche Diagnostics Gmbh

5th Feb 2026
"AI is not just a technology initiative; it's a business transformation enabler."

I am excited to share that I have completed the Certificate Program in AI Business Strategy from Johns Hopkins University. This journey reinforced something I strongly believe: AI is not a technology initiative, it is a business transformation enabler. Its real value does not come from algorithms alone, but from how leaders align AI with strategy, governance, culture, and measurable outcomes. Throughout the program, I deepened my understanding of how organizations can translate AI capabilities into strategic advantage, make informed and data-driven decisions, and bridge the gap between business vision and technological execution. This experience strengthens my commitment to helping leaders adopt AI in a way that is intentional, responsible, and value-driven. I am excited to keep applying these insights to real-world business challenges.

Read More

Jose Armando Ortiz

, Proserve Solutions Llc

20th Dec 2025
Learning AI Without a Tech Background: A Structured, Real-World Approach

"My experience with Great Learning, through a 10-week Certificate Program in AI Business Strategy offered in collaboration with Johns Hopkins University, was truly excellent. The curriculum, expert faculty, mentors, and synchronous sessions were all superb—engaging, inspiring, and eye-opening. As a non-expert in the field of AI and computer science, I was able to absorb an incredible amount of knowledge, and I attribute that to the thoughtfully structured design of the program. I personally benefited from all the optional pre-work and readings, in addition to the formal weekly assignments, which were hosted on the Olympus online learning management platform. Having spent over 20 years in higher education, including extensive experience with platforms like Blackboard, Canvas, and other online delivery systems, I can confidently say that, as a student, my experience with Olympus was seamless, highly engaging, and intuitive. What made the experience especially rewarding, beyond the content itself, were two key aspects: the real-world, project-based assignments and the dedicated commitment of the outstanding faculty. They brought global perspectives, deep industry expertise, and a genuine investment in the student learning experience. The projects were challenging. They pushed me to think critically and creatively and to stretch myself intellectually. I also greatly appreciated the detailed feedback provided by the mentors. "

Read More

Scott Krawczyk

Senior Associate Provost , University Of The District Of Columbia

3rd Dec 2025
"Faculty mix of professors and experts made topics accessible and practical."

When a friend recommended the Certificate Program in AI Business Strategy at Johns Hopkins, I was a bit skeptical. I am a healthcare lawyer, not an IT specialist. But I was curious how AI would impact my industry, especially its ethics, and I signed up. Three things became clear immediately. One: I did not need to be in the field to learn how to apply AI ethically and efficiently. Two: the faculty is a mix of professors and in-house experts, making the topics very accessible and practical. And three: I will leave this course understanding how to navigate this new and still developing area, even if I do not code for a living. This was an excellent experience.

Read More

Agnieszka Gallagher

, Standard Biotools Inc

12th Nov 2025
"One of the more challenging courses I've taken outside a university setting."

I recently completed the Certificate Program in AI Business Strategy by Johns Hopkins University. It was one of the more challenging courses I’ve taken outside a university setting. Looking forward to the next challenge.

Read More

Stephen Coco

, Servicenow

11th Nov 2025
"Deeper insight into identifying opportunities where AI can drive business value."

I have officially completed the Certificate Program in AI Business Strategy from Johns Hopkins University, Whiting School of Engineering. The program explored aligning AI capabilities with organizational goals, evaluating risks, and designing strategies for responsible and impactful AI adoption. This experience provided deeper insight into identifying opportunities where AI can drive business value, balancing innovation with ethical and compliance considerations, creating implementation roadmaps bridging technical teams and executive leadership, and leveraging AI for operational efficiency and customer experience. I am excited to apply these learnings to future projects, continuing to bridge the gap between AI technology and strategic business impact.

Read More

Matthew Torr

, Southway Builders

25th Jul 2025
"Changed my perspective on intelligent systems with a strong focus on ethical AI development."

The Certificate Program in AI Business Strategy from Johns Hopkins University, Whiting School of Engineering, changed my perspective on intelligent systems. Key takeaways include the importance of governance, bias mitigation, and ethical oversight in AI development. As a UX leader, I now focus on creating transparent, explainable, and inclusive AI systems. The Program's R.O.A.D. methodology (Research, Observe, Analyze, Deliver) provides a valuable framework for building ethical and effective AI solutions. I thank the faculty and the Great Learning team for this impactful learning experience.

Read More

Sonal Tambaku

, NA

23rd Jul 2025
"Transformational learning journey in AI Business Strategy from Johns Hopkins University."

The learning journey of the Certificate Program in AI Business Strategy from the Johns Hopkins University, Whiting School of Engineering, has been transformational. I am excited about harnessing Artificial Intelligence to design real-world solutions. This program is about reimagining possibilities when innovation meets purpose.

Read More

Naglaa Fawzy Hassan

, JPMorgan Chase

18th Jul 2025
"The 10-week journey gave me a strong foundation to navigate the evolving world of AI."

I recently completed the Certificate Program in AI Business Strategy by Johns Hopkins University, Whiting School of Engineering. This 10-week journey gave me a strong foundation to navigate the evolving world of AI. The curriculum blended key concepts with practical applications, and the live sessions were engaging and easy to follow. The Great Learning platform kept me organized with progress tracking, and the Program Manager provided timely support throughout. Through case studies and the Capstone Project, I developed skills in identifying AI opportunities, building adoption roadmaps, assessing data readiness, and communicating strategies effectively. A key takeaway was the R.O.A.D. framework, which focuses on Requirements, Operationalize Data, Analytics Method, and Deployment, which is a structured approach to responsible AI adoption. This experience has prepared me to approach AI initiatives with clarity and confidence, ensuring long-term business value.

Read More

Nick Batchelor

, JPMorgan Chase

3rd Jul 2025

Course Fees

The course fee is USD 2,600

Build AI strategy expertise across AI, GenAI, Agentic AI, governance, and enterprise adoption.
Dedicate 6–8 hours weekly to faculty-led learning, industry mentorship, projects, and case studies.
Learn from AI experts in weekly live online sessions focused on real-world implementation and business impact.
Receive a Certificate of Completion and 6 CEUs from Johns Hopkins University.

Easy payment plans

Avail our EMI options & get financial assistance

INSTALLMENT PLANS

Upto 12 months Installment plans

Explore our flexible payment plans

View Plans

Third Party Credit Facilitators

Check out different payment options with third party credit facility providers

*Subject to third party credit facility provider approval based on applicable regions & eligibility

Take the next step

00 : 00 : 00

Apply to the program now

Unlock exclusive course sneak peek

Application Closes: 16th Jul 2026

Admission Process

Our registrations close once the requisite number of participants enroll for the upcoming batch

1. Fill application form

Register by completing the online application form
2. Application screening

A panel from Great Learning will review your application to determine your fit for the program
3. Join the program

After a final review, you will receive an offer for a seat in the upcoming cohort of the program

Limited seats available

Apply today and lead business innovation with AI

Batch start date

Online · 8th Aug 2026

Admission closing soon

Apply Now

.faq-content .tabs{ margin-top: 20px; } .faq-content .tab-pane, .faq-content .no-js-tab-title{ display: block; } .hide-section-js-disable{display: none;}

Frequently asked questions

Program Details

Eligibility and Admission Details

Fee and Payment

Other Queries

Program Details

What is the Certificate Program in AI Business Strategy by Johns Hopkins University?

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:

AI and Machine Learning fundamentals
AI and ML algorithms for real-world applications
Implementation of AI and its applications in business goals
Project management for AI
Generative and Agentic AI applications
Ethical AI practices
Design and implementation of scalable AI strategies

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:

Live Masterclasses with Johns Hopkins University faculty
Weekly mentored learning sessions with global industry experts
Research-driven curriculum based on the latest developments in AI
Dedicated modules on Generative AI, Agentic AI, and scalable AI
Hands-on projects and case studies across diverse industries
A prestigious Certificate of Completion from Johns Hopkins University
6 Continuing Education Units (CEUs)

How is the Certificate Program in AI Business Strategy delivered?

The Certificate Program in AI Business Strategy is delivered online through:

Recorded video lectures
Live masterclasses by JHU Faculty
Weekly mentored sessions by global industry experts

Will I get any learning support in JHU’s Certificate Program in AI Business Strategy?

Yes, the program provides comprehensive learning support to help you balance your studies with your professional responsibilities.
The support system includes:

Mentorship: You will have 10 mentored learning sessions with seasoned industry experts who provide guidance and support throughout the program.
Administrative Support: A dedicated Program Manager is assigned to assist you.
Academic Learning Support: This is provided via the GL Community, which includes project discussion forums and peer groups to facilitate collaboration.

These resources are specifically designed to assist you in completing the two hands-on projects and various assessments required for the certificate.

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:

Dr. Ian McCulloh, Faculty Director at Johns Hopkins University
Dr. Abhinanda Sarkar, Full-Time Faculty at Great Lakes and Associate Dean at the MYRA School of Business

The industry mentors include experts from various world-renowned companies:

Jeremy Samuelson: Executive VP, AI and Innovation, Integrated Quantum Technologies
G Anthony Reina: Head of Machine Learning, Stealth BioTech Startup
Sunil Kumar Vuppala: AI Partner, ArisGlobal
Randhir Agarwal: Director, Data Science & Data Engineering, Samsung Electronics
Balachandra Deshpande: Head of Data Science, Enterprise Minds, Inc

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.

Will I get hands-on experience with real business problems?

Yes. The program includes projects such as designing AI strategies and solving real-world business challenges across industries.

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:

Developed by Johns Hopkins University, one of the top-ranked universities globally.
Curriculum curated and delivered by world-renowned JHU faculty.
Live sessions with JHU faculty, along with mentored sessions from industry experts.
Hands-on experience through real-world projects and case studies to reinforce learning.
Certificate of Completion from Johns Hopkins University and 6 CEUs upon program completion.
Personalized support from a dedicated Program Manager throughout the program.

How can I contact the program team for more information?

For any queries or assistance, you can reach out to us at office-aibs-gl@jhu.edu 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.

Eligibility and Admission Details

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.
● Mid to Senior Leadership Professionals
● Project Managers from non-technical domains who want to understand AI and its applications for their organization
● Engineering Managers who want to communicate effectively with senior leadership on AI solutions
● Management and Technology Consultant
● C-suite Executives and Entrepreneurs

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.

Fee and Payment

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.

Other Queries

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 can I learn AI for business as a non-technical professional?

Non-technical professionals can learn AI through structured programs that focus on business applications, case studies, and guided projects.

How is AI used in business strategy?

AI is used to analyze data, predict trends, and support decision-making.
It enables organizations to make faster and more accurate strategic decisions. Programs like JHU’s focus on applying AI to real business scenarios, including planning and execution.

Which industries use AI the most?

Industries such as finance, healthcare, retail, manufacturing, and technology are leading adopters of AI.

How does Artificial Intelligence for business enhance decision-making for leaders?

AI impacts business decision-making by:

Providing data-driven insights
Automating repetitive tasks
Enhancing predictive accuracy
Analyzing vast amounts of data quickly
Identifying trends and enabling faster, informed decisions

AI tools also optimize operations, improve customer experiences, and even predict market shifts, enabling businesses to respond proactively and stay competitive.

What is Agentic AI and how is it used in business?

Agentic AI refers to AI systems that can plan and execute tasks independently. It is used in business to automate workflows and improve decision-making.
In business environments, Agentic AI enables organizations to streamline operations, reduce manual effort, and enhance efficiency. In structured programs like the JHU AI Business Strategy course, such concepts are explored through real-world applications and case-based learning.

How is Agentic AI different from Generative AI?

Generative AI creates content, while Agentic AI can take actions and complete tasks autonomously.
Agentic AI builds on generative capabilities by adding planning and execution layers. This distinction is important in business strategy, where AI is not just used for content creation but also for decision support and automation.

What are the top AI career options in business?

Top AI career options in business include AI Strategist, Business Analyst, Product Manager, AI Consultant, AI Ethicist, Prompt Architect, and leadership roles focused on AI-driven initiatives.

Delivered in Collaboration with:

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.

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +1 410 457 3342 or email to office-aibs-gl@jhu.edu

Drive Strategic AI Adoption for Business Impact with Johns Hopkins University

Certificate Program in AI Business Strategy

Delivered in collaboration with Great Learning

Learn more about the course

Upskill Your Teams with Future-Ready Skills

Enter your organisation name

Transforming Businesses Through AI

Why should you join this program?

Strategic AI Program for Business Leaders and Decision Makers

Learn from JHU, a Leading US Research University

What will you learn to build and apply?

Earn a Certificate of Completion from Johns Hopkins University

Why choose this program?

Learn from a Top-Ranked University

Live Masterclasses by JHU Faculty

Weekly Mentorship by Industry Experts

Comprehensive AI Strategy Curriculum

Real-World Projects & Case Studies

Earn a Recognized Credential from Johns Hopkins University

AI SOLUTIONING

AI PROJECT MANAGEMENT

STRATEGIC AI IMPLEMENTATION

GENERATIVE AI APPLICATIONS

MACHINE LEARNING FUNDAMENTALS

ETHICAL AI PRACTICES

AI MODEL EVALUATION

BUILDING AI TEAMS

Agentic AI Applications

AI SOLUTIONING

AI PROJECT MANAGEMENT

STRATEGIC AI IMPLEMENTATION

GENERATIVE AI APPLICATIONS

MACHINE LEARNING FUNDAMENTALS

ETHICAL AI PRACTICES

AI MODEL EVALUATION

BUILDING AI TEAMS

Agentic AI Applications

Who is the program for?

How is the program learning experience?

Learn from Experts

Learn By Doing

Earn a University Credential

Get Support Throughout the Learning Journey

What will you learn in the program?

PRE-WORK: EVOLUTION OF ARTIFICIAL INTELLIGENCE

CONCEPTS COVERED

MODULE 1: AI FUNDAMENTALS

WEEK 1: THE AI LANDSCAPE

MODULE 2: AI FOR BUSINESS

WEEK 2: AI AND ML TECHNOLOGIES

WEEK 3: OPTIMIZING DATA FOR BUSINESS SUCCESS

MODULE 3: RESPONSIBLE AI

WEEK 4: OPTIMIZING AI RESOURCES AND PERFORMANCE

WEEK 5: MITIGATING AI BIAS AND RISKS

MODULE 4: GENERATIVE AND AGENTIC AI FOR COMPETITIVE ADVANTAGE

WEEK 6: GENERATIVE AI FOR BUSINESS VALUE

WEEK 7: AGENTIC AI FOR BUSINESS AUTOMATION

MODULE 5: AI PROJECT MANAGEMENT

WEEK 8: LEADING AI REVOLUTION

WEEK 9: DESIGNING SCALABLE AI PROJECTS

WEEK 10: MANAGING LARGE-SCALE AI IMPLEMENTATIONS

SELF-PACED MODULE: CLAUDE-BASED AI WORKFLOWS

Design and Execute AI Workflows

LIVE MASTERCLASSES

AI CONSULTING AND ADOPTION

AI STRATEGY FOR AGENT-FIRST ORGANIZATIONS

AI PRODUCT DEVELOPMENT

ANTHROPIC MASTERCLASS

SAMPLE CASE-STUDIES

AI-Driven Organ Allocation

AI for Customer Service Automation

Data Quality in Defense AI

AI-Powered Online Extremism and Disinformation Assessment

What projects will you work on?

AI Strategy for Product Development

AI Strategy to Modernize Prisoner Management System

Earn a certificate of completion from Johns Hopkins University

Who are the faculty for the program?

Dr. Ian McCulloh

Dr. Abhinanda Sarkar