AI For Business Specialization Course Syllabus

Overview: This specialization equips business leaders with the strategic frameworks to harness AI for competitive advantage. Over approximately 16 weeks, learners will explore AI fundamentals, real-world applications in marketing and finance, project management, and organizational adoption. Designed by Wharton faculty, the course requires no technical background and focuses on executive decision-making, ethics, and implementation strategy. Estimated weekly commitment is 3-5 hours, with flexible, lifetime access to all materials.

Module 1: AI Fundamentals for Business

Estimated time: 12 hours

• Understanding AI vs. Machine Learning vs. Deep Learning
• Key terminology: Algorithms, neural networks, and large language models (LLMs)
• Business use cases across industries
• Conducting ROI analysis for AI projects

Module 2: AI in Marketing & Finance

Estimated time: 15 hours

• Personalized recommendation systems
• Dynamic pricing models powered by AI
• Fraud detection systems in financial operations
• AI-driven customer segmentation strategies

Module 3: Managing AI Projects

Estimated time: 12 hours

• Building cross-functional AI teams
• Vendor selection: Build vs. buy decision frameworks
• Change management strategies for AI adoption

Module 4: Ethics & Governance in AI

Estimated time: 10 hours

• Identifying and mitigating algorithmic bias
• Privacy concerns and data protection regulations
• Establishing AI governance frameworks

Module 5: Adoption Frameworks & Case Studies

Estimated time: 14 hours

• Overcoming organizational barriers to AI integration
• Learning from Fortune 500 AI implementations (Amazon, Netflix, etc.)
• Developing scalable AI business cases
• Using vendor scorecards for technology evaluation

Module 6: Final Project

Estimated time: 15 hours

• Develop an AI implementation strategy proposal
• Present your plan to industry mentors
• Receive feedback from Wharton faculty and earn your certificate

Prerequisites

• Familiarity with basic business concepts (management, marketing, finance)
• No coding or technical experience required
• Interest in digital transformation and innovation leadership

What You'll Be Able to Do After

• Implement AI strategically in marketing, finance, and operations
• Use AI models to optimize pricing, hiring, and risk management decisions
• Address ethical challenges including bias, privacy, and compliance
• Lead AI adoption using proven organizational frameworks
• Create compelling AI business cases and vendor evaluation scorecards