Managing AI Systems
Online Graduate Certificate
When AI Becomes a Leadership Responsibility.
Managing AI is an organizational challenge, not a technical one. This graduate certificate prepares decision-makers to guide AI adoption responsibly, aligning strategy, governance, and organizational culture to create sustainable value.
"Through this program, I was able to assess our current practices, identify gaps, and bring actionable recommendations back to my team, directly influencing how we mature our AI strategy. "
Julia McDowell
VP of Artificial Intelligence Strategy and Enablement
Highmark Health
Who is this Program For?
Leaders and executives across industries, nonprofits, and government organizations who want to learn how to transform AI pilots into responsible and scalable AI deployments.
What You Will Learn
In less than a year, you'll be confident leading all aspects of AI implementation across your organization, from strategic decision-making and governance to responsible deployment and long-term oversight.
The CMU Difference
All online certificate programs are not the same. Our online learning experiences use evidence-based learning science to support learning, retention, and real-world application. All taught by CMU's world class faculty in live-online classes.
Curriculum Highlights
The Managing AI Systems program prepares leaders to evaluate, implement, and scale AI across the organization, building the expertise needed to deliver measurable value aligned with organizational goals, ethical standards, and strong governance. Students will learn how to:
- Determine when and where AI adds value, and where it doesn鈥檛
- Decide whether to build, buy, or partner, and select the right tools and vendors for scalable AI
- Implement AI by aligning people, processes, and workflows across the organization
- Drive adoption through change management, stakeholder alignment, and communication
- Manage risk, ethics, and governance through responsible practices and oversight
- Apply systems thinking to anticipate impacts and ensure AI works effectively at scale
By combining AI strategy, implementation, and governance, the curriculum emphasizes practical execution, responsible oversight, and organizational alignment. Students will gain experience turning AI initiatives into measurable impact while addressing the ethical, operational, and strategic implications of deploying AI at scale.
Course Descriptions
An introduction to the practical aspects of managing AI throughout its lifecycle, from scoping to deployment, all while developing a systems-thinking mindset to navigate complexity effectively.听
By the end of this course, students will know how to answer questions like:
- What are the key components of the AI system lifecycle?
- What types of business problems are suited for AI and how do we scope them?
- Should you build or buy? 听
- What are the core data challenges to be aware of in AI?
- What are the most frequently used AI models?
- How do you scale and sustain your AI solution? 听
Course Project
Students will demonstrate their management approach for an organizational challenge based on a hypothetical, industry-based scenario.
This course introduces students to the ethical considerations of AI implementation, covering risk mitigation strategies, test and evaluation methods, and governance frameworks to ensure responsible AI deployment.听
By the end of this course, students should know how to answer questions like:
- How do you design and implement effective AI governance frameworks to ensure responsible and ethical AI adoption?
- How do you test AI models for fairness, bias, accuracy and precisions?
- How do you mitigate harms incurred and communicate after incidents occur?
- How do you train responsible AI champions?
Course Project
In this course, students will develop a governance plan for AI implementation based on an industry-based case study.
AI systems are complex and require robust planning to implement successfully. In this course, students will learn to formulate AI strategies that align with organizational goals, consider talent acquisition, follow change management best practices, and foster trust between AI systems and stakeholders.听
By the end of this course, students should know how to answer questions like:
- How can AI support organizational value propositions?
- What people and skills should be on your AI team?
- How do you build AI literacy in your organization and dispel common AI myths?
- How do you organize AI efforts in your organization?
- How do you prioritize AI projects across business functions?
- How do you stay current on AI trends and build a learning organization?
Course Project
In this course, students will develop an organizational roadmap and experimentation plan that articulates their strategy for AI implementation.
World Class Faculty
Heinz College of Information Systems and Public Policy
Distinguished Service Professor of Design and Innovation & Senior Innovation Advisor
Ph.D., University of California, Berkeley
Research Focus: Implications of AI adoption and navigating complexity to drive system change
Distinguished Service Professor of Applied Data Science and AI
Ph.D., University of Sydney, Australia
Research Focus: The business and societal adoption of data, analytics, and artificial intelligence
Distinguished Service Professor of Public Policy and Management
M.P.M. 好色先生TV
M.S. Management Technology, University of Virginia
Application Requirements
Designed for any professional, from the seasoned programmer in financial services to a non-technical manager in human resources. Successful applicants have:
- A bachelor鈥檚 degree from an accredited college or university in any subject
- Basic knowledge of statistics and calculus
- Exposure to programming languages (Python, R, Java or MATLAB)
- A forward-thinking mindset - we find that success comes from a drive to learn and apply new skills immediately
We encourage you to apply even if you don't have a background in math or programming. However, we may require or recommend preparatory work to ensure your academic success.
Ready to Build Your Future?
Tuition
We know that a graduate-level certificate represents a significant investment of both time and money. But we also know the impact of investing in your own professional growth.听
See below for a full breakdown of tuition and more details on payment options. 听听
Applicants who apply by the Priority Deadline are eligible for a partial scholarship award.听
You will be notified of your award amount in your admission letter.
| Term | Course | Investment |
|---|---|---|
| Fall 2026 | Operationalizing AI Systems | $5,656 |
| Spring 2027 | Responsible AI | $5,656 |
| Summer 2027 | Building the AI Organization | $5,656 |
| Total Investment | $16,968 |
Financing Your Future
To help make the financial commitment more manageable, we offer a limited number of scholarships and flexible monthly payment plans. Students also use employer tuition reimbursement benefits, and the G.I. Bill to cover tuition costs. See below for more details on ways to make an investment in your future a reality.
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Additional Fees & Notes:
- $240 technology fee will be assessed each semester (subject to change).
- Tuition rates are for the current academic year only and are subject to change.
Funding Information
All applications received by the priority deadline are eligible for a partial scholarship award; those received later may be eligible if funds are still available. You will be notified at the time of admission of any awards. Scholarships are applied by course and are non-transferrable between courses or semesters.
The majority of our students use tuition reimbursement benefits from their company. While some policies won't cover certificate programs, since this certificate is credit-bearing and a verifiable credential, many organizations will allow tuition benefits.
And remember, fall enrollment will maximize benefits since most are based on calendar year. Enroll in Fall 2026 and you will use both your 2026 and 2027 benefits to cover the program cost.听
If your employer is uncertain about providing financial support, or if you need specific documents to proceed with enrollment, contact a Program Specialist who will help highlight the value and benefits of completing an online certificate at Carnegie Mellon. Visit this webpage to see examples of how employer tuition reimbursement can be structured throughout the semester.听
A monthly payment option is available to break tuition into manageable installments. Managed by Nelnet, students can enroll online.
Visit this webpage to explore available payment options and see examples of how tuition can be structured throughout the semester.
All CMU Online graduate certificates are eligible for CMU tuition remission. Review the CMU tuition remission policy to check your eligibility.
好色先生TV provides services to veterans and their dependents who are eligible for Veterans Education Benefits under the Montgomery G.I. Bill庐, Post-9/11 G.I. Bill, and the Vocational Rehabilitation and Employment Program. Please note that our online graduate certificates are not currently eligible for the Yellow Ribbon program.
The process begins with an application directly to Veterans Affairs. Once approved, you will provide your Certificate of Eligibility to the Carnegie Mellon Veterans Affairs Coordinator. Contact information and additional details about the process can be found here.听
Students eligible for GI Bill funding may receive scholarship awards prior to full GI Bill funding confirmation. Scholarship awards will be adjusted to reflect GI Bill funding and cannot exceed the cost of tuition and fees.
Students pursuing a graduate certificate are not eligible to receive federal financial aid. However, private loans are a viable alternative to consider with competitive interest rates and borrower benefits. See , a free loan comparison service to easily research options.
Quality Online Learning for Working Professionals
Managing AI effectively requires sustained attention, thoughtful decision-making, and the ability to integrate technology into complex organizational environments. The Managing AI Systems Online Graduate Certificate is designed to support senior leaders who are balancing professional responsibilities while building the knowledge needed to oversee AI initiatives with confidence.
Rigor 鈥� expect a rigorous learning experience with the same high academic standards as our on-campus offerings. It won鈥檛 be easy, but it will be worth it.
Flexibility 鈥� complete the program in less than a year with a combination of live-online classes coupled with self-paced activities you can complete when it鈥檚 most convenient for you.
Live, online classes meet weekly with CMU faculty after work hours for interactive discussion, problem solving and collaborative learning.
Self-paced activities - readings, short lectures and applied exercises allow you to master concepts on your own timeline with ongoing faculty support.
Start Your Application
Ready to Apply? Here's what you'll need to complete the application process for the Managing AI Systems Online Graduate Certificate.
Complete the Online Application
Submit your application via the .
Submit Your Resume/CV听
Tell us more about your employment history, academic background, technical skills and professional achievements.
Submit Your Transcripts听
Upload unofficial copies from schools where a degree was earned or significant coursework was taken. Transcripts must include:
- Your name
- College or university name
- The degree awarded (along with the conferral date)
- All courses taken and grades earned
Upload a Statement of Purpose听
In 500 words or less, tell us why you are interested in this certificate program and how you anticipate using it in your professional capacity.
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Heinz College of Information Systems & Public Policy
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