AI for Business Strategy

Build the judgment to lead AI strategy

  • Learn from a curriculum designed and delivered by UVA Darden faculty
  • Distinguish real AI opportunity from trends using strategic frameworks
  • Lead AI adoption while navigating governance, risk, and decision rights
  • Develop a 90-Day AI Strategy Brief for one organizational AI initiative

Talk to an advisor :

+1-844-532-7688
AI for Business Strategy
#1 Public Business School
5.0Ratings

Talk to an advisor :

+1-844-532-7688
  • Admission closes
    October 2, 2026
  • Program Duration
    10 weeks
  • Learning Format
    Live, Online, Interactive

Key Features

UVA Darden Advantage

Certificate and digital badge from UVA Darden Executive Education & Lifelong Learning

Faculty of the Darden School of Business, ranked #1 by The Princeton Review

Strategy Before Technology

Distinguish real AI opportunity from technology trends using a strategic framework

Focus investment where it matters, and build the case to earn executive buy-in

Growth, Not Just Efficiency

Build a 90-Day AI Strategy Brief connecting business value, governance, and adoption

Assess how AI can create value across strategy, operations, growth, and risk

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Talk to an Advisor

Toll Free : +1-844-532-7688

Corporate Training

Enroll your employees into this program, NOW.

Corporate training

Talk to an Advisor

Toll Free : +1-844-532-7688

Career Opportunities

AI Strategy Manager

Defines where AI investments should be made, builds business cases, prioritizes initiatives, and establishes metrics to measure impact. Aligns AI opportunities with business goals, growth priorities, and organizational capabilities.

Source: Axial Search, Glassdoor

Hiring Companies
Average Salary

Essential Skills You Will Develop

  • AI Business Model Design
  • AI Governance Design
  • AI Investment Prioritization
  • AI Opportunity Identification
  • Business Case Development
  • Customer Lifetime Value Analysis
  • Deployment and Scaling Strategy
  • Human AI Collaboration
  • ROI Evaluation
  • Generative AI Fluency
  • Workforce Transformation
  • Responsible and Ethical AI
  • AI Readiness and Risk Assessment
  • AI Portfolio Prioritization
  • AI Strategy for Executives

Earn Professional Certifications

Upon successful completion of the program, you will earn a digital, non-credit certificate and digital badge from UVA Darden Executive Education & Lifelong Learning.

UVA Darden advantage
UVA Darden advantage
  • Self-paced content and three 90-minute live online sessions
  • Cohort-based learning, peer review, and faculty interaction
  • Ranked #1 U.S. Public MBA program, US News & World Report, 2025
  • 33 Brandon Hall Awards Since 2021

Program Curriculum

The program moves from strategic perspective and technical fluency to growth, investment, workforce transformation, and responsible AI leadership. Each module contributes to the development of a 90-Day AI Strategy Brief that will be reviewed and discussed between peers and Darden faculty.

  • Program Induction - AI for Business Strategy
    Kick off your learning journey with a comprehensive overview of the program, its objectives, learning outcomes.
  • Academic Orientation - AI for Business Strategy
    Get introduced to the program structure, learning journey, academic expectations, and key resources to help you make the most of your learning experience.
  • AI Strategy for Executives
    Step into the room where AI decisions get made. You'll learn to spot where AI creates real value, tell genuine opportunity from passing hype, and align every AI bet with the goals that move your business forward.
  • Technical Fluency for AI Strategy Part 1
    Lead AI conversations with confidence, no engineering degree required. You'll gain a working command of what modern AI can do, and the judgment to match the right approach to the right business challenge.
  • Technical Fluency for AI Strategy Part 2
    Build the foundation that turns AI ambition into results. You'll learn to assess what your organization needs to deploy and manage AI, surface the risks before they scale, and judge when you're truly ready to go enterprise-wide.
  • AI-Enabled Business Models, Products, and Growth Strategy
    Learn how AI, personalization, and data-driven strategies can unlock new growth opportunities and transform products, services, and customer experiences. Apply strategic frameworks to identify sources of value, build competitive advantage, evaluate AI-enabled business models, and guide disciplined experimentation.
  • The Psychology of AI: Overcoming the Barriers of Trust
    Understand why people hesitate to trust AI through seven realistic scenarios and science-based barriers, from black-box concerns and lack of personalization to autonomy and consequential decisions. Learn practical, research-backed ways to build trust and apply these insights to your own AI projects.
  • Live Online Session 1 - AI Opportunity and Architecture Lab
    Explore high-value AI opportunities and translate them into practical solution concepts, while understanding the architecture required to bring them to life.
  • AI Portfolio, ROI, Deployment, and Scaling
    Invest in AI like a leader who can prove the return. You'll learn to evaluate and prioritize AI initiatives, build business cases that win backing, and scale the solutions that work across your organization.
  • From Efficiency to Flourishing
    Lead people and AI to do their best work together. You'll learn to use AI as an augmentation tool rather than a replacement, navigate its impact on your teams, and protect the judgment, accountability, and trust that define great leadership.
  • Live Online Session 2 - Workforce Transformation and Human-AI Organizations
    Examine how AI is reshaping roles, workflows, and organizational structures, and explore strategies for effective human-AI collaboration.
  • Governance, Risk, Responsible AI, and Executive Decision Rights
    Become the leader who makes AI safe to scale. You'll learn to establish governance structures, manage organizational risk, and define the executive decision rights that let innovation move fast and stay accountable.
  • Live Online Session 3 - AI Investment Committee and 90-Day Roadmap Review
    Evaluate AI initiatives through a strategic and investment lens, and translate priorities into an actionable 90-day implementation roadmap.
  • Program Conclusion
    Consolidate key takeaways and reflect on how to apply the concepts and strategies covered throughout the program.

Program Advisor

  • Bidhan L. Parmar

    Bidhan L. Parmar

    Associate Dean for Faculty Development

    A renowned expert in decision-making, ethics, and stakeholder management, helping leaders navigate ambiguity and create lasting value.

  • Michael Albert

    Michael Albert

    Associate Professor of Business Administration

    Expert in data analytics, machine learning, and market design, with research at the intersection of AI, economics, and business decision-making.

  • Roshni Raveendhran

    Roshni Raveendhran

    Assistant Professor of Business Administration

    A leading researcher exploring how AI and emerging technologies are reshaping work, organizations, and society.

  • Luca Cian

    Luca Cian

    Killgallon Ohio Art Professor of Business Administration

    A distinguished marketing scholar and AI expert whose research explores consumer psychology, visual persuasion, and how people respond to AI.

  • Rajkumar Venkatesan

    Rajkumar Venkatesan

    Ronald Trzcinski Professor of Business Administration

    Award-winning scholar in marketing strategy and analytics, helping global organizations harness data and AI for business growth.

Still have questions?

Our dedicated team is prepared to answer them.

Total Program Fee

Program Fee $ 2,800

Pay in Installments

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Program Cohorts

  • Limited seats Left

    UVA Darden AI for Business Strategy Nov 2026

    • cohort date13 Nov, 2026 - 13 Feb, 2027
    • cohort calendarWeekdaySuMTuWTh
    • cohort clock18:30 - 20:30 CST
    • InductionInduction on 12 Nov, 2026

Who Is This Program For?

Eligible student for this program
  • Business leaders
  • Strategy leaders
  • Functional heads
  • Transformation leads
  • Consultants & Advisors

Eligibility Criteria

  • 8+ years of leadership & business transformation experience
  • Accountable for decisions that shape direction
  • No prior AI or coding experience is required

How To Apply

  • 1
    Submit Application

    Apply for the program by completing a simple online application form.

  • 2
    Reserve Your Seat

    Secure your seat by completing the program fee payment

  • 3
    Start Learning

    Begin your learning journey on the designated cohort start date

Start Application

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Demand For Program

AI has moved from a technology initiative to a business strategy decision. Leaders are now accountable for where AI is applied, what it costs, how it is governed, and whether it produces value the organization can measure. That accountability usually sits with people who are not the ones building the models.

The program helps leaders make informed AI decisions without needing to build AI systems or write code. It builds the technical fluency to distinguish generative from predictive AI, understand when retrieval makes more sense than fine-tuning, and challenge the assumptions behind an AI proposal. From there, the focus shifts to the decisions that matter: which initiatives merit funding, how to measure return on AI, what changes when a pilot moves into production, and who owns the decision when an AI system gets something wrong. You finish with a 90-Day AI Strategy Brief for one organizational workflow, developed module by module and refined through peer feedback.

Demand For Program

Growing demand

Program FAQs

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