Foundational AI & ML for Business
Online Graduate CertificateÂ
Learning Experience
Graduate-level classes taught live, online by CMU faculty
Schedule
Apply by the Priority Application Deadline, start classes in January 2027 and finish in 12 months.Â
Time Commitment
1-2 nights per week plus 6-8 hours of work outside of class each week
Return on Investment
Apply what you learn in class to work projects immediately.
Keep up with the AI conversation.
You don't need to become a data scientist. But you do need a practical understanding of the methods behind AI to ask better questions, challenge assumptions, and assess solutions through both a technical and business lens.Â
Go beyond today's tools with hands-on experience in programming, machine learning, and real-world AI applications. Build the fluency to engage confidently with technical teams, identify where AI can create real business value, and develop foundational knowledge that lasts even as the technology changes.Â
"AI is moving too quickly for business leaders to rely on a surface-level understanding of the latest tools. The goal isn't to turn managers into technical experts, it's to make sure they can hold their own when the conversation turns to AI. That means understanding enough of what's happening under the hood to separate what's promising from what's practical, and to lead with confidence as the technology evolves."
Brad Eiben
Executive Director, Master of Science in Product Management
Tepper School of Business, Carnegie Mellon University
Who is this Program For?
Professionals without a technical background who need to understand AI, whether leading or working alongside technology teams, or building technical fluency to stay relevant as AI reshapes roles in general management, product, marketing, operations, consulting, and finance.Â
What You Will Learn
Learn to analyze data, work with Python and machine learning models, evaluate AI solutions, and apply AI and ML to real-world business challenges.Â
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.
Carnegie Mellon University
2026 U.S. News & World Report Rankings
# 1
AI Graduate Programs
# 2
Online MBA
Tepper School of Business
# 2
Online MS in Business Analytics
Tepper School of Business
Curriculum Highlights
Build AI fluency step by step, from understanding data and statistics and learning to code to machine learning and using AI to solve business problems. Designed for nontechnical professionals, the curriculum moves beyond tool use to explore how data and AI systems are built, evaluated and applied to business challenges.Â
- Explore the building blocks behind AI (Python & ML)
- Assess AI solutions through both a technical and business lens including how to evaluate value, tradeoffs, and risk
- Understand and evaluate ML models, interpret how models work, compare approaches, assess performance, and recognize limitations.
- Identify where AI and ML can improve products, processes, customer experiences, and decision-making and where it may not be the right solution.Â
Throughout the experience, students will build the practical skills and technical fluency that are increasingly required to succeed in the modern workplace of today and tomorrow.Â
Online Course Descriptions
Use evidence to make better decisions under uncertainty.
Build the quantitative foundation needed to interpret data and evaluate business claims. You will learn how probability distributions, sampling, estimation, hypothesis testing, and regression help managers distinguish meaningful patterns from noise and make more defensible decisions. The course connects statistical reasoning to practical business problems and prepares students for more advanced work in analytics and machine learning.
Learn to work directly with code and data.
Develop practical programming skills for data analysis in two widely used languages. Starting without formal prerequisites, you will use R and Python to visualize, manipulate, merge, reshape, and analyze data. Hands-on case studies help you move from following examples to solving real questions with code—and give you the foundation to continue learning independently and prepare for statistics and machine-learning coursework.
Understand the models behind modern predictive analytics.
Move beyond using machine learning as a black box. In this course, you will study the principles that guide how models learn from data, generalize to new situations, and balance fit with complexity. Using Python and real-world business data, you will implement and compare widely used approaches, evaluate their strengths and limitations, and learn how model choices affect practical outcomes.
Turn AI concepts into business solutions.
Apply your technical foundation to the design and evaluation of AI-enabled products and business processes. Through hands-on demonstrations, case studies, exercises, and a project, you will explore how AI can support search, pricing, market research, financial services, and creative work. The course emphasizes both what can be built and how managers should evaluate value, trust, fairness, interpretability, adoption, and unintended consequences.
Quality Online Learning for Working Professionals
Understanding AI and machine learning requires more than curiosity. It demands practical learning grounded in both business strategy and technical fundamentals.Â
Rigor — Expect a rigorous learning experience with the same high academic standards as our on-campus offerings. It won’t be easy, but it will be worth it.
Flexibility — Complete the program in less than a year through a combination of live online classes and self-paced activities that fit your schedule.
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.Â
World Class CMU Faculty
From the Tepper School of Business
Application Requirements
Designed for business leaders who don't need to become data scientists but who need to understand how the technology works in order to ask better questions, challenge assumptions, and make informed decisions. Successful applicants have:
- A bachelor’s degree from an accredited college or university in any subject
- Curiosity and a growth mindset. Willingness to learn concepts that may be new and more technical than your past experience.
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.
Not sure whether you're ready? Read the FAQ below, or contact us. We are happy to talk it through.Â
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 personal growth.Â
See below of a full breakdown of tuition and more details on payment options.Â
Partial scholarships are  available. Apply by the priority deadline to be considered for these awards.
You will be notified of your award amount in your admission letter. Apply today!Â
| Term | Course | Investment |
|---|---|---|
| Spring 2027 | Introduction to Probability & Statistics | $4,242 |
| Spring 2027 | Programming in Python & R | $4,242 |
| Fall 2027 | ML Fundamentals | $4,242 |
| Fall 2027 | AI Apps in Business | $4,242 |
| 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.
Additional Fees & NotesÂ
- A $245 technology fee will be assessed each semester (subject to change).Â
- Tuition rates are for the current academic year only. If the certificate is not completed within that time frame, tuition may increase slightly for the following academic year.
Funding Information and Resources
All applicants who apply 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.
In addition, Carnegie Mellon alumni are eligible for a fellowship to the graduate certificate worth up to 20% of tuition. Indicate your alumni status within the application to be eligible.
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.Â
And remember, fall enrollment will maximize benefits since most benefit plans are based on calendar year. Enroll in Fall 2026 and you will use both your 2026 and 2027 benefits to cover the program cost. 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.Â
Visit this webpage to see examples of how employer tuition reimbursement can be structured throughout the semester.
A monthly payment option is available and breaks tuition into manageable monthly 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.
Carnegie Mellon University provides services to veterans and their dependents who are eligible for Veterans Education Benefits under the Montgomery G.I. Bill®, 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.Â
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.
All CMU Online graduate certificates are eligible for CMU tuition remission. Review the CMU tuition remission policy to check your eligibility.
Students pursuing a graduate certificate are not eligible to receive federal financial aid. However, private loans are a viable alternative to consider, offering competitive interest rates and borrower benefits. See FastChoice , a free loan comparison service to easily research options.
Start Your Application
Ready to Apply? Here's what you'll need to complete the application process for the Foundational AI & ML for Business Online Graduate Certificates.
Complete the Online Application
Submit your application via the online portal.
Submit Your Resume/CVÂ
Tell us more about your employment history, academic background, technical skills and professional achievements.
Submit Your TranscriptsÂ
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 PurposeÂ
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.
Frequently Asked Questions
Find answers to common questions below, or explore additional information regarding financial resources and the application process on the FAQ webpage. You can also contact a Program Specialist for personalized guidance.Â
We follow the semester schedule as outlined in CMU’s official Academic Calendar. The next semester of this program will begin in January 2027. Specific class times for this certificate will be announced shortly before the start date.
No. you do not need previous programming experience or a degree in computer science, engineering, or other technical field. This curriculum builds foundational skills step by step.Â
This certificate is completed online through a combination of instructor-led learning, hands-on activities and independent coursework, allowing you to build practical skills while balancing your professional commitments.
Yes. A limited number of partial scholarships still remain for admitted Foundational AI & ML for Business students. Apply by the final deadline to be considered for one of these awards.Â
Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Foundational AI & ML for Business worth up to 20% of tuition.
You will be better prepared to understand AI and machine learning concepts, evaluate how they can support business needs and collaborate more confidently with technical teams.
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