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ONLINE COURSE

AI-Driven Leadership

Translate AI into action with practical leadership frameworks.
Inquiring For
Work Experience

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DURATION

8 weeks, online

PRICE

Get US$320 off with a referral

FOR TEAMS

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Course Overview

AI-Driven Leadership (Formerly Leadership in the Age of AI) equips executives and business leaders with the strategic insights and practical frameworks needed to lead in an AI-driven world. The course focuses on helping leaders identify high-impact opportunities, shape AI strategy, manage risk, align stakeholders, and drive measurable business outcomes. Each module is designed to help you make more informed decisions, lead AI initiatives with confidence, and translate emerging technologies into meaningful organizational impact.

What Will You Learn

Our AI-Driven Leadership online course, led by distinguished MIT AI Instructors, equips leaders and executives with essential insights and practical tools to navigate today’s dynamic organizational landscapes. Through eight comprehensive modules, participants will explore cutting-edge technologies, including artificial intelligence, robotics, and autonomous systems, gaining the skills needed to foster AI & innovation leadership for transformative organizational impact.
  • Identify the key capabilities necessary for thriving in a digitally powered business environment

  • Analyze the role of technology in driving organizational transformation across various industries

  • Explore examples of successful digital transformation in sectors like healthcare, finance, and manufacturing

  • Understand the distinctions between traditional AI, machine learning, deep learning, and generative AI, and how each can contribute to business transformation

  • Apply the “Gen AI Cost Equation” to identify business scenarios where the use of GenAI can drive productivity

  • Gain insight into emerging AI trends and how they can benefit businesses

  • Understand the principles of IoT and digital threads in creating interconnected business environments

  • Evaluate how real-time data can be used to diagnose issues and personalize solutions

  • Analyze case studies on the implementation of connected systems in different industries

  • Assess the current capabilities of robots and autonomous systems in both hardware and software forms

  • Analyze the implications of human-machine collaboration for the future of work

  • Explore case studies of robotic systems transforming industries like logistics and manufacturing

  • Examine the organizational culture, skills, and systems required for effective digital transformation

  • Identify barriers to adopting digital innovations and ways to overcome them

  • Design strategies for embedding technology into business operations for long-term value creation

  • Examine changing customer behaviors and preferences in the digital age

  • Discover the role of personalized experiences and responsive services in driving customer engagement

  • Research innovative business models that cater to evolving consumer demands

  • Explore emerging technologies such as quantum computing, blockchain, and smart sensors

  • Evaluate the potential for these technologies to drive future business innovation

  • Develop a basic understanding of the timeline for the broader adoption of these emerging tools

  • Assess the long-term societal impacts of digital innovations and transformations

  • Analyze the challenges and opportunities presented by new technologies for organizational growth

  • Develop a roadmap for implementing a transformative digital innovation within your organization.

Key Takeaways for AI-Driven Leadership

By the end of this course, participants will:

  • Analyze the impact of emerging digital technologies like AI, robotics, and IoT on business models and organizational change

  • Develop strategies for integrating digital transformation into various industries to improve operational efficiency and customer engagement

  • Discover how future technological innovations may affect business, workforce, and society, and create the frameworks for sustainable adoption

  • Assess how real-time data can be applied to identify problems and tailor solutions

  • Explore changing customer behaviors and preferences in the digital age.

  • Examine the long-term societal impacts of digital innovations and transformations

Live Webinars with MIT Instructors

This course includes a series of interactive live online sessions designed to enhance learning and bring key concepts to life through faculty-led discussions. Participants will engage directly with MIT instructors to explore the strategic implications of AI, responsible adoption practices, leadership challenges, organizational transformation, and practical frameworks for AI-driven decision making.

These sessions provide an opportunity to deepen understanding through real-world perspectives, guided discussions, and insights from leading experts in the field.

Note: Live session topics and schedules are subject to change and may be updated based on faculty guidance, emerging developments, and evolving industry trends.

Who is this online course for?

  • Business Executives and Managers responsible for strategic planning, decision-making, and leading digital initiatives who need to comprehend the impact of technologies like AI, IoT, and robotics on their industries.

  • Technology Leaders and IT Professionals seeking to bridge the gap between rapidly evolving technologies and business objectives to drive innovation and efficiency.

  • Change Management and Transformation Leaders tasked with leading organizational change, who require insights into effective strategies for driving digital transformation and cultivating a digitally-ready culture.

  • Entrepreneurs and Innovators looking to leverage advanced technologies to disrupt markets, improve products or services, and stay ahead of emerging trends. 

  • Consultants and Advisors who provide strategic advice on digital transformation, technology adoption, and organizational change management to clients across various industries. 

  • Mid to Senior-Level Professionals Across Industries, especially those in sectors like healthcare, finance, manufacturing, mining, and others undergoing significant digital disruption and seeking to stay competitive. 

Past Participants Profile

Work Experience

Work Experience

Top Industries

Top Industries

Top Countries

Top Countries

Instructors

MPE - Faculty - Brian Anthony

Dr. Brian W. Anthony

Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano

MPE - Faculty - Rama - Ramakrishnan

Prof. Rama Ramakrishnan

Professor of the Practice in Data Science and Applied Machine Learning, MIT Sloan School of Management

MPE - Faculty - George Westerman

Dr. George Westerman

Senior Lecturer and Principal Research Scientist, MIT Sloan School of Management 

Participant Testimonials

We explored cutting-edge technologies (AI, Digital Twins, IoT) and organizational strategies (leading change, driving digital transformation, and fostering the right culture and capabilities). The course distilled over 10 years of research from Dr. George Westerman on digital transformation into actionable insights on becoming a "Digital master" by balancing digital innovation with strong leadership....
MPE - testimonial - Latifa Demnati
Latifa Demnati
Digital Transformation Director
Dell Technologies
The course provided key insights into the challenges of applying AI and IoT, along with best practices for integrating them into a digital strategy. It also explored decision-making pathways for effective automation with robotics and the core principles of leadership in digital transformation, including vision, engagement, governance, and technology leadership while also offering insights into current research on modern sensor technology, homomorphic encryption, and quantum computing....
MPE - testimonial - Sven-Christian Endres
Sven-Christian Endres
Head of Delivery
Alfa People
 Certificate

Certificate

All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.

To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.

*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program. To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.

MIT Professional Education in Numbers

+60K

Participants in our courses

+155

Countries represented by our participants

92%

Rate the experience as extraordinary

Frequently Asked Questions

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