AI Strategy and Decision Making

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Program Experience

This course develops the diagnostic and evaluative thinking leaders need to engage responsibly with AI-related decisions. By the end, you will be able to:

Diagnose where data, analytics, and AI can (and cannot) create competitive advantage within an organizational context
Design a high-level, practical job aid for AI-supported decision making
Evaluate the strategic, organizational, and ethical trade-offs involved in scaling analytics and AI initiatives
Reflect on and articulate your role in shaping how analytics, AI, and machine learning are used within your organization
Demonstrate a commitment to building AI and digital capabilities responsibly, valuing the short-term and long-term consequences of substituting computation for human expertise
Develop a personal approach for continuously evaluating, learning about, and adapting to evolving AI and digital capabilities.

Experience and Impact

Delivered fully online and self-paced, this course features four in-depth modules (approximately two to three hours each). You will move through a blend of short-form video lectures, guided workbook reflections, applied activities, and optional stretch exercises that connect concepts to your own organizational context.

You will go beyond concepts and put ideas into practice. Specifically, this course will equip you to:

Complete decision-framing exercises, simulations, and reflections that connect AI concepts to real organizational choices
Build a running decision journal and toolkit that captures insights, trade-offs, and reusable frameworks across modules
Produce a work-ready capstone artifact: either an AI Decision Framing Brief for a specific organizational decision or an AI Decision Support Toolkit you can use across contexts

By the end, you will have the judgment and tools to engage credibly in AI-related conversations: asking better questions, surfacing hidden risks, and making more informed decisions about where AI belongs in your organization.

Certificate Pathway

This is the third of four courses that comprise Wharton Online’s Digital Strategy in the Era of AI Certificate. The certificate is earned by completing all four:

Course 1: Navigating Digital Disruption
Course 2: Leading the Digital Organization
Course 3: AI Strategy and Decision Making
Course 4: Advancing Digital Innovation

Each course may be taken individually, but together they form a comprehensive progression — from diagnosing disruption and leading organizational transformation, to building AI capabilities and judgment, to advancing digital initiatives with strategic discipline.

Completing all four courses not only deepens your transformation capabilities; it also earns you the Digital Strategy in the Era of AI Certificate, recognizing your ability to lead digital and AI-driven change with strategic confidence.

Tuition

The tuition for this course is $1,350. You can also enroll in the full four-course Digital Strategy in the Era of AI Certificate at a bundled rate, gaining access to the entire pathway and the recognized Wharton credential.

Attend as a Team. Amplify the Impact.

Wharton Executive Education offers group-enrollment benefits for organizations sending four or more participants. Learn More »

What Do I Earn?

CEU Credits

To receive CEUs for your Wharton Online course(s), you must complete all coursework and pass all assessments in a CEU-eligible program of study with a score of 70 percent or above.

CEUs are included with every Wharton Online course. Upon successful course completion, learners automatically earn at least one CEU, which is noted in the digital credentials.

Credentialing

Upon successfully completing your course, you will receive a digital badge recognizing your achievement. The badge is a verified, shareable credential that showcases your dedication and newly acquired skills.

You can easily share your digital badge on LinkedIn, your personal website, digital resume, or email signature — making it simple for employers, peers, and your professional network to see what you’ve accomplished.

Who Should Attend

This course is designed for professionals who must engage with AI-related decisions as part of their leadership responsibilities, including:

Strategy and transformation leaders evaluating where AI fits into their organization’s digital strategy
Product and platform leaders influencing AI-supported decisions about features, personalization, and automation
Operations and general management leaders accountable for performance, risk, and responsible adoption
Analytics, data, and technology leaders shaping AI governance, prioritization, and organizational readiness
Leaders involved in AI review or governance who need frameworks for evaluating proposals without owning technical implementation

Group Enrollment

To further leverage the value and impact of this program, we encourage companies to send cross-functional teams of executives to Wharton. We offer group-enrollment benefits to companies sending four or more participants.

Faculty

Raghuram Iyengar, PhDSee Faculty Bio

Miers-Busch, W’1885 Professor; Professor of Marketing; Faculty Director of Innovation, Experiential Learning and Research Initiatives, Analytics at Wharton, The Wharton School

Research Interests: Pricing, social influence, social networks

Prasanna Tambe, PhDSee Faculty Bio

Professor of Operations, Information and Decisions, The Wharton School

Research Interests: Economics of IT labor, technological change, and labor markets