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AI Strategy for Business Leaders: From Hype to Impact

Formerly AI in Business: Creating Value with Machine Learning

Leverage AI to unlock strategic value and accelerate growth.

All Start Dates

  • Time

    8:30 AM – 4:30 PM ET

  • Length

    2 consecutive days

  • Cost

    $3,100
    Programs fill quickly — free cancellation up to 14 days prior

  • Registration Deadline

    October 12, 2025

  • Time

    8:30 AM – 4:30 PM ET

  • Length

    2 consecutive days

  • Cost

    $3,100
    Programs fill quickly — free cancellation up to 14 days prior

  • Registration Deadline

    December 1, 2025

  • Time

    8:30 AM – 4:30 PM ET

  • Length

    2 consecutive days

  • Cost

    $3,200
    Programs fill quickly — free cancellation up to 14 days prior

  • Registration Deadline

    February 15, 2026

  • Time

    8:30 AM – 4:30 PM ET

  • Length

    2 consecutive days

  • Cost

    $3,200
    Programs fill quickly — free cancellation up to 14 days prior

  • Registration Deadline

    April 14, 2026

What You'll Learn

Artificial Intelligence (AI) is a catalyst for innovation and value creation across diverse industries, fundamentally transforming the way we work. Organizations equipped to harness the power of AI will not only thrive but also lead the way in redefining their industries. Those who remain unprepared risk obsolescence in this rapidly evolving digital era.

By strategically leveraging AI across the enterprise, including advanced tools like large language models and generative capabilities, organizations can unlock significant gains in efficiency and heighten competitiveness. This transforms the competitive landscape and unveils new growth prospects for businesses that successfully incorporate AI into their operations. However, true AI success depends on a combination of strategic thinking and responsible adoption — all of which benefit from effective leadership in an AI-driven world.

This program is designed to equip you with the knowledge and skills to navigate and leverage the AI landscape from a strategic, managerial perspective. We will explore the implications, applications, and opportunities of cutting-edge emerging technologies, including Generative AI, across industries. Through real-world case studies and interactive discussions, you will develop the strategic mindset needed to lead AI initiatives within your organization, focusing on the “why” and “when” rather than the technical “how.” By the end of the program, you will be empowered to discern when and how to adopt AI-driven solutions for strategic advantage in your organization.

Note: The program explores AI from a managerial perspective. This is not a technical program; IT and coding expertise are not required.

Program Benefits

  • Identify and capitalize on strategic opportunities for AI-powered automation and digitization
  • Develop the ability to assess the uncertainty, ambiguity, and challenges of artificial intelligence
  • Envision and articulate the transformative potential of AI for your business
  • Transform AI concepts and frameworks into practical applications
  • Develop a robust, actionable agenda for ongoing AI experimentation that is both defensible and strategically focused
  • Earn a Certificate of Completion from the Harvard Division of Continuing Education

Who Should Enroll

If you work closely with technologies and want to understand how AI and machine learning will transform the business environment in the coming years, this program is for you.

This program is designed for professionals directly involved in shaping their organization’s core AI strategy and roadmap. It is particularly beneficial for leaders integrating and scaling AI initiatives across various functional areas such as operations, marketing, product management, human resources, supply chain management, and strategy.

Note: As this is a managerial program, the curriculum focuses on strategic insights rather than technical details.

Topics Covered

  • The Central Role of AI in Driving Digital Change and Business Model Innovation
  • AI’s Impact on Various Industries: Examining sector-specific applications and case studies
  • Big Data vs. Scattered Data: Strategies for harnessing large datasets effectively
  • Deterministic vs. Probabilistic Technologies: Insights into different AI approaches and their business implications
  • Machine Learning: An overview of supervised and unsupervised learning techniques
  • Deep Learning and Natural Language Processing: Exploring advanced AI methods and their practical uses