MIT Sloan Navigating AI:
Driving Business Impact and Developing Human Capability

Online course

Unlock the strategic opportunities of AI for your business and effectively lead your people through the transformation.

21 weeks, excluding orientation

6–8 hours per week entirely online

Weekly modules, flexible learning

Multiple payment options

On completion of this program, you’ll walk away with:

1

The ability to identify business applications for generative AI, machine learning, and robotics technologies.

2

An AI roadmap to help your organization gain a strategic advantage in your industry.

3

The capacity to relate the Transition-Curve Framework to a variety of challenges you’ll face during digital transformations.

4

The skills to analyze the interplay between the three dimensions of transformation, and the confidence to proactively manage digital disruption.

Course curriculum

Engage directly with the MIT Sloan Executive Education Team during optional live sessions. Over the duration of this online program, you’ll work through the following modules and sections:

Section 1

Module 1: An Introduction to Artificial Intelligence

Learn about the history of AI, its role in collective intelligence, and how to gain a strategic advantage.

Module 2: Machine Learning in Business

Explore machine learning and how it can be applied in a business context to gain a strategic advantage.

Module 3: Generative AI in Business 

Explore generative AI and how it can be applied in a business context to gain a strategic advantage.

Module 4: Robotics in Business 

Explore robotics and how robots can be used in a business context to gain a strategic advantage.

Module 5: Artificial Intelligence in Business and Society

Consider the merits of the human-machine partnership and any ethical concerns that may arise from the use of AI in an organization.

Module 6: The Future of Artificial Intelligence 

Develop a roadmap for implementing AI, and consider the future of your organization with AI technologies.

Section 2

Module 1: Introduction to Machine Learning 

Learn about machine learning and its growing role in business. 

Module 2: Implementing Machine Learning in Business  

Learn about where machine learning is useful, the role of data, and the importance of an implementation plan. 

Module 3: Sensing the Physical World 

Explore the requirements for the application of machine learning using sensor data. 

Module 4: Helping Machines to Use Language 

Explore the requirements for the application of machine learning using language data. 

Module 5: Finding Patterns in Human Transactions  

Explore the requirements for the application of machine learning using transaction data. 

Module 6: Machine Learning Challenges and Future 

Develop an implementation plan for machine learning, and consider the future of machine learning in business.

Section 3

Module 1: Navigating Transformational Change From the Human Perspective 

Use the Transition-Curve Framework to understand the key human challenges experienced through digital transformations. 

Module 2: Transitioning to New Roles   

Explore role changes required to support organizational transformations. 

Module 3: Leading People Through Capability Shifts  

Engage with the process of shifting capabilities within digital transformations. 

Module 4: Navigating Emotions  

Learn how to navigate the psychological responses to digitally driven change.

Module 5: Roles, Capabilities, and Emotions: A Complex Mix to Manage  

Discover how to ensure that the three dimensions of change work together. 

Module 6: Mapping the Transition Journey  

Predict change, learn from it, and practice how to confidently and successfully lead transformations.

Your course Faculty Directors

Daniela Rus

Andrew (1956) and Erna Viterbi Professor of Electrical Engineering

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’s research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science. She earned her PhD in Computer Science from Cornell University.

Thomas Malone

Patrick J. McGovern (1959) Professor of Management

Thomas W. Malone is the Patrick J. McGovern Professor of Management at MIT Sloan and founding director of the MIT Center for Collective Intelligence. He also holds professorships in Information Technology and Work and Organizational Studies. Malone has led major research centers at MIT and predicted key trends in electronic business as early as 1987.

Hal Gregerson

Senior Lecturer, Work and Organization Studies at MIT Sloan School of Management

Hal Gregerson is a senior lecturer, an Innosight fellow, a cofounder of Innovator’s DNA consulting group, and an expert in leadership and innovation. His extensive career spans positions as a former executive director of the MIT Leadership Center and teaching posts at INSEAD, London Business School, and Dartmouth’s Tuck School of Business. Gregersen was ranked in the top 20 most influential thinkers by Thinkers50 and won the 2017 Distinguished Achievement Award for leadership.

Roger Lehman

Senior Lecturer, MIT Sloan School of Management

Roger Lehman is a senior lecturer at the MIT Sloan School of Management and a professor at INSEAD, where he teaches with a focus on executive leadership, change management, and high performance teams. He is also a member of the core faculty at the INSEAD Global Leadership Center and a co-designer and Program Director of INSEAD’s innovative Coaching and Consulting for Change Program, where he is deeply involved in supporting leadership transformational processes.

“The course content was well-structured, insightful, and highly relevant to today’s digital challenges…This online program significantly deepened my understanding of digital transformation, especially in strategy, leadership, and organizational change, by providing practical frameworks, real-world case studies, and valuable insights into how organizations achieve transformation beyond just adopting new technologies. With the knowledge I’ve gained through this online course, I now feel better equipped to help lead sustainable digital transformation within my organization.”

– Dr. Sara A.-B., Senior Computer System Analyst, KPC, on the MIT Sloan Organizational Design for Digital Transformation program

An online education that sets you apart

This MIT online program is delivered in collaboration with online education provider GetSmarter, part of edX. Join a growing community of global professionals, and benefit from the opportunity to:

Gain invaluable competencies and recognition from an international selection of universities and institutions, online and in your own time.

Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step.

Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.

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Enter your information to access the course brochure and learn more about this course from GetSmarter.