The integration of artificial intelligence (AI) into core business functions is rapidly transforming industries and redefining the skills required of business leaders. As organizations increasingly adopt AI technologies to enhance decision-making, streamline operations and deliver innovative customer experiences, the demand for business professional with AI fluency and strategic insight has grown substantially.
The Business Artificial Intelligence Certificate is a 12-credit certificate designed for business leaders who will lead, design and implement AI solutions that advance organizational strategy, improve customer experiences and address governance and ethics. Unlike highly technical AI programs, this certification helps professionals bridge the gap between AI and business strategy.
Certification will be available starting Fall 2026 and can be completed in as little as one (1) year.
Curriculum (12 credits)
3 Required Courses
- Artificial Intelligence Integration for Business Strategy and Operations
- Artificial Intelligence in Customer Experience and Value Creation
- Leadership, Governance and Ethics in Business Artificial Intelligence
Elective Courses (Choose 1)
- Business Ethics
- Data Driven Decision-Making
- Contemporary Business Issues
- Marketing Management
This course explores how artificial intelligence can be integrated into strategic and operational decision-making to generate competitive advantages. Students analyze real-world business cases to understand how AI creates value in areas such as financial forecasting, supply chain optimization, and organizational performance. Emphasis is placed on aligning AI initiatives with business objectives, evaluating costs and benefits, and identifying operational opportunities for AI adoption.
Distinctive Focus: AI as a driver of strategy and operational integration
This course examines how businesses deploy artificial intelligence to enhance customer engagement, personalize experiences, and deliver superior value propositions. Topics include AI-enabled personalization, predictive customer behavior, conversational AI in customer service, and AI-driven product development. Students will evaluate case studies where organizations use AI to strengthen client relationships, optimize customer journeys, and sustain customer loyalty while safeguarding trust.
Distinctive Focus: AI as a tool for customer interaction, personalization, and product innovation
This course addresses the leadership, governance, and ethical dimensions of AI adoption in business. Students explore compliance requirements, data governance, and intellectual property considerations alongside change management strategies for overcoming organizational resistance to AI implementation. Special attention is given to reputation management, crisis communication, and the ethical implications of AI use in business contexts. The course prepares students to lead responsibly, balancing innovation with accountability.
This course explores the ethical gray areas of contemporary business practices, enhancing skills in moral judgment and dialogical framework for ethical decision making. Emphasis is placed on the students' self-assessment of core values, experiences and assumptions.
This course is designed to provide a forum for decision, reflection, and examination of contemporary business issues. Global business, legal systems, and social issues, quality, and the internet are a few examples of the topical areas that are covered in this course.
This course equips students with the analytical skills needed to make informed, evidence-based business decisions. Students will learn to collect, interpret, and communicate insights from data sets using Microsoft Excel and Tableau. Emphasis is placed on transforming raw data into actionable intelligence that informs strategic planning, operational improvements, and organizational performance. By the end of the course, students will be prepared to leverage data effectively to guide business strategy in a variety of professional contexts.
A study of business to business buyer behavior, marketing segmentation and selection, product planning, pricing, distribution, promotion, buyer-seller interaction, negotiations, competitive bidding, and ethical issues.