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    Digital Transformation and AI Playbook
    Stanford Graduate School of Business

    Digital Transformation and AI Playbook

    Stanford Graduate School of Business, Stanford
    6 weeksDuration
    onlineFormat
    EnglishLanguage
    Digital TransformationTopic

    Next Available Cohort

    Choose your preferred start date

    Aug 20 - Oct 1, 2026
    6 weeks Β· online Β· Instructor-Led
    Open
    $2,950

    All-inclusive program fee

    About This Program

    More than ever, digitization is essential for businesses to sustain a competitive advantage and foster innovation. Leading digital transformation requires the right mix of technical knowledge, digital strategy frameworks, and leadership best practices. Through real-world applications, the Digital Transformation and AI Playbook program will enable you to harness digital technologies, lead with confidence, and create measurable value. Developed by Stanford Graduate School of Business with deep ties to Silicon Valley, this learning journey will prepare you for the next era of AI in business. The program includes three live online sessions led by renowned Stanford faculty, each covering a key area of AI and digital transformation. These sessions will be recorded and made available for later viewing. This capstone project provides an opportunity to put all of your program learning into practice. In this project, you will define your goals, create a digital road map, flesh out the initiatives, and outline the next steps to support the implementation of your strategy. It will function as a practical game plan for you to kick-start your progress.

    Why Stanford Graduate School of Business?

    Stanford GSB sits at the epicentre of Silicon Valley, which means its executive education participants don't just study innovation β€” they walk out the door and into the world's densest concentration of venture capital, deep-tech startups, and technology multinationals. The school's insistence that leadership begins with self-awareness, not strategy frameworks, produces a distinctly introspective style of executive development that sets it apart from almost every other elite institution.

    Your Profile

    • Building a strong digital culture across their organization and aiming to exceed customer expectations and achieve operational efficiencies to remain competitive through digital transformation and digital technologies.
    • Planning to initiate technical projects or have stepped into roles that require a digital-first mindset for driving AI and digital transformation in their departments using AI, ML, and emerging technologies.
    • Exploring growth opportunities through digitization and aspiring to broaden their knowledge of ML and AI in business, data analytics, and automation.

    Benefits

    • Map the capabilities of AI, ML, cloud, automation, IoT, AR, and VR to specific business challenges.
    • Evaluate where AI and foundation models can create competitive advantage in your business model.
    • Build a digital transformation road map with short- and long-term strategy goals.
    • Assess new ventures using the proprietary Benefits, Assets, Threats, and Liabilities (BATL) framework.
    • Design a capstone plan that translates program learning into actionable next steps for your organization.

    What You'll Learn

    • Module 1: Introduction to Digital Transformation - Define the benefits of digital transformation and how it can be applied to challenges faced by organizations to innovate. Identify digital transformation solutions that address organizational needs and support new business models.
    • Module 2: Data Kingdom - Evaluate your familiarity with data, and gain a deeper understanding of how to apply it to a given business need. Identify ways to avoid common pitfalls that hinder data projects. Describe how data can become the basis for new business models.
    • Module 3: Cloud Services and Data Analytics - Evaluate the capabilities of cloud services to address business needs or capture new opportunities using digital technologies. Design a business experiment in which you will explain how to use data analytics and visualization to facilitate business decision making.
    • Module 4: Artificial Intelligence and Machine Learning - Distinguish between the three types of ML algorithms and how to apply them to address business needs and opportunities. Discuss best practices and common pitfalls of AI and ML implementation.
    • Module 5: Automation, NC/LC, IoT, AR, and VR - Explore the capabilities and limitations of automation and related technologies. Articulate the business value and trade-offs of implementing cutting-edge technologies, focusing on opportunities for automation within your organization.
    • Module 6: Organization and Execution - Develop a digital transformation road map by evaluating digital initiatives and defining short- and long-term digital strategy goals. Formulate strategies to transform individual behaviors and organizational culture to support digital transformation.
    • Live Session 1: The State of AI - Discover how the AI ecosystem is evolving, examining its various layers, from AI infrastructure and foundation models to frameworks and applications. Explore cutting-edge topics, including agentic AI, RAG, distillation, MCP, multimodal AI, and robotics, and their business implications.
    • Live Session 2: AI and People - Examine psychological barriers to AI adoption and discuss what consumer behavior reveals about resistance to AI-based products in different situations.
    • Live Session 3: Business Models in the Age of AI - Learn how AI is driving new business models with examples and exercises focused on strategy, value creation, and innovation.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

      Compare programs

      Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

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    3. 3

      Contact the school

      Send a message directly to Stanford Graduate School of Business via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through Stanford Graduate School of Business's official application portal.

      Apply now β†’