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AI for Business

Want to feel more confident using AI at work?

AI for Business bridges the gap between AI’s potential and real-world business application. Developed by Carnegie Mellon University’s Tepper School of Business in collaboration with the #1-ranked School of Computer Science, this Executive Education program delivers a clear, accessible introduction to AI with no technical background required.

Program Fee: $1,750

Earn one Tepper Education Unit (TEU) toward Carnegie Mellon’s Certificate in Executive Leadership + AI

Guided by 25 expert faculty, you’ll build a practical understanding of core AI technologies, learn to interpret data-informed insights, and identify high-impact opportunities within your organization.

 

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How You'll Learn

100% online, asynchronous learning

11 hours of core content plus 6 hours of bonus material

Guided knowledge checks and applied exercises

Action plans at the end of each pillar tailored to your organization

An optional capstone project focused on a real business challenge

Who Should Attend

This program is designed for:

Business professionals exploring AI opportunities, including functional leaders in marketing, operations, finance, or HR

Professionals with minimal or no technical background

No prior AI experience is necessary.

Artificial intelligence continues to transform how organizations operate, but knowing when and how to apply it remains a challenge.

The AI for Business program from Carnegie Mellon University is designed to help business professionals move beyond the hype and focus on what matters: identifying opportunities, making informed decisions, and delivering measurable results.

Through expert-led content, real-world use cases, and guided applications, you’ll learn how to connect AI capabilities to everyday business challenges. The program emphasizes practical frameworks for defining problems, working with data, interpreting outputs, and navigating the organizational implications of AI adoption.

By the end of the program, you’ll be equipped to develop and implement a clear, actionable plan to leverage AI for innovation within your organization making AI both accessible and immediately impactful.

Program Structure

The curriculum explores the core pillars of AI, from foundational concept to emerging technologies and responsible implementation. Each section cuts through technical jargon by grounding concepts in real-world business applications, spanning finance, healthcare, manufacturing, marketing, and more.

Applied AI

Learn how AI uses language, visuals, and generative tools to improve customer experiences, support ethical use, and create business value.

Physical AI

Understand how AI powers robotics, extended reality (XR), Internet of Things ( IoT), and autonomous systems to improve operations, efficiency, and innovation.

AI and Risk

Explore AI security, risk, and governance to deploy AI responsibly, manage vulnerabilities, and lead with confidence.

Bonus: Foundations of AI

Learn how data, machine learning, and optimization enable AI-driven decision-making and support better planning and performance.

Industry Use Cases

Agriculture
Communications & Infrastructure
Consumer Services & Entertainment
Defense & Exploration
Education & Training
Finance & Business Services
Healthcare & Social Services
Human Resources
Industrial & Manufacturing
Marketing & Advertising
Science & Research
Technology & Software
Transportation & Mobility

Program at a Glance

Applying AI to business challenges

AI for Business bridges the gap between AI’s potential and its practical business applications. Developed collaboratively by Carnegie Mellon University’s Tepper School of Business and School of Computer Science, the program delivers a clear, nontechnical introduction led by expert faculty.

Participants strengthen their understanding of core AI technologies, interpret data-driven insights, and identify high-value opportunities within their organizations. Through expert-led content, real-world use cases, and guided application, the program connects AI concepts to everyday business challenges and supports measurable outcomes.

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Faculty Members

from across Carnegie Mellon University’s Tepper School of Business and School of Computer Science.

Real-World Application

AI is already transforming industries including finance, healthcare, manufacturing, marketing, and technology. AI for Business focuses on applying AI to solve challenges in ways that drive business impact and value.
You’ll explore real-world use cases and learn how to apply similar approaches within your own team, turning insight into action.

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Hours

of expert faculty-led training videos

Meet Our Faculty

This program is delivered by an interdisciplinary team faculty from Carnegie Mellon University, spanning expertise in artificial intelligence, machine learning, and business strategy. Their collective expertise integrates AI with high-level business strategy, equipping professionals with the technical understanding and strategic acumen for successful AI implementation.

Our Faculty

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Henny Admoni Associate Professor of Robotics
Yuvraj Agarwal Professor
Laurence Ales Interim Dean; Professor of Economics
Brandy L. Aven Associate Professor of Organizational Theory, Strategy, and Entrepreneurship
Andrea Bajcsy Assistant Professor of Robotics
Lujo Bauer Professor, ECE-S3D
Emily DeJeu Assistant Teaching Professor of Business Communication
John Dolan Principal Systems Scientist
Ioannis Gkioulekas Associate Professor of Robotics
Willem-Jan Van Hoeve Carnegie Bosch Professor of Operations Research
Kim Hyatt Teaching Professor
Oliver Kroemer Associate Professor
Derek Leben Teaching Professor of Business Ethics
Sunkee Lee Associate Professor of Organizational Theory and Strategy
Andrew A. Li Assistant Professor of Operations Research
David Lindbauer Assistant Professor
Changliu Liu Associate Professor
Robert T. Monroe Teaching Professor of Business Technologies
David Mortensen Assistant Research Professor
Ben Moseley Professor of Operations Research
Shubham Tulsiani Assistant Professor

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