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Navigating AI | MIT Sloan Executive Education

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    Faculty & Staff Thought Leadership Participant Viewpoints Blog Webinars Client Impact Stories

    Becoming a Future-Ready Organization: Thriving During Uncertainty

    Watch the webinar recording
    AI abstract

    AI for Executives:
    A New Leadership Imperative

    Read the blog post
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    Explore All

    Artificial Intelligence

    Digital Business & IT

    Entrepreneurship

    Negotiation & Communication

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    Strategy & Innovation

    Systems Thinking

    Explore All

    Earn an Executive Certificate

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    Technology and Operations Certificate

    Advanced Certificate for Executives (ACE)

    Certificate Holder Community

    View our Program Guide

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    Capabilities and Expertise The Learning Experience Client Impact Stories The Engagement Process Custom Program Directors Custom Programs Inquiry
    Group Enrollments
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    The Learning Experience

    What makes MIT Sloan programs different

  • Insights
    Faculty & Staff Thought Leadership Participant Viewpoints Blog Webinars Client Impact Stories

    Becoming a Future-Ready Organization: Thriving During Uncertainty

    Watch the webinar recording
    AI abstract

    AI for Executives:
    A New Leadership Imperative

    Read the blog post
  • About MIT Sloan
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    Artificial Intelligence

    Digital Business & IT

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    Negotiation & Communication

    Operations

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    Strategy & Innovation

    Systems Thinking

    New Courses
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    Executive Certificates
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    Earn an Executive Certificate

    Digital Business Certificate

    Management and Leadership Certificate

    Strategy and Innovation Certificate

    Technology and Operations Certificate

    Advanced Certificate for Executives (ACE)

    Certificate Holder Community

    View our Program Guide

  • For Organizations
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    Custom Programs
    Capabilities and Expertise
    The Learning Experience
    Client Impact Stories
    The Engagement Process
    Custom Program Directors
    Custom Programs Inquiry
    Group Enrollments
    Small Team Discounts
    Corporate Accounts
    MIT Sloan brochure cover with orange and teal gradient background titled ‘Solutions for Organizations.’

    Download Brochure

    See how MIT Sloan Executive Education can support your organization.

    Seal of the Massachusetts Institute of Technology featuring two figures representing science and industry, with the motto ‘Mens et Manus’ and the founding year 1861.

    The Learning Experience

    What makes MIT Sloan programs different

  • Insights
    Insights
    Faculty & Staff Thought Leadership Participant Viewpoints Blog Webinars Client Impact Stories

    Becoming a Future-Ready Organization: Thriving During Uncertainty

    Watch the webinar recording
    AI abstract

    AI for Executives:
    A New Leadership Imperative

    Read the blog post
  • About MIT Sloan
    About MIT Sloan
    Why Choose MIT Sloan? Executive Education Team Faculty Directory Connect With Us Contact Us FAQ
    Program Guide cover 2025-26

    View our Program Guide

    MIT Sloan

    Watch a video about the MIT Sloan Exec Ed Experience

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  3. Navigating AI: Driving Business Impact and Developing Human Capability
Digital Business
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Navigating AI: Driving Business Impact and Developing Human Capability

Item No. a05U100000A7RP7IAN
EARN 6.0 EEUs
AI and machine learning concept with a brain icon in the center and many icons around it image number null
Next Available Date Nov 12, 2025–Apr 28, 2026
Format Self-Paced Online
Location Online
Duration 21 Weeks
Commitment 6–8 hours/week
Tuition $9,500
$9,500
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Course Dates & Enrollment
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Navigating AI: Driving Business Impact and Developing Human Capability

Digital Business

Select your preferred date and enroll in the upcoming sessions

a04U1000002vr85IAA
Self-Paced Online

Date(s)

Nov 12, 2025–Apr 28, 2026

Location

Online

Duration

21 Weeks

Commitment

6–8 hours/week

Tuition

$9,500

Go to GetSmarter Site
a04U1000002ys4PIAQ
Self-Paced Online

Date(s)

Feb 4–Jun 30, 2026

Location

Online

Duration

21 weeks

Commitment

6–8 hours/week

Tuition

$9,500

Go to GetSmarter Site
a04U1000002ys7dIAA
Self-Paced Online

Date(s)

Apr 15–Sep 8, 2026

Location

Online

Duration

21 Weeks

Commitment

6–8 hours/week

Tuition

$9,500

Go to GetSmarter Site
a04U1000002ysArIAI
Self-Paced Online

Date(s)

Jun 24–Nov 17, 2026

Location

Online

Duration

21 Weeks

Commitment

6–8 hours/week

Tuition

$9,500

Go to GetSmarter Site
a04U1000002ysE5IAI
Self-Paced Online

Date(s)

Sep 2, 2026–Feb 23, 2027

Location

Online

Duration

21 Weeks

Commitment

6–8 hours/week

Tuition

$9,500

Go to GetSmarter Site

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Overview
Schedule
Who Should Attend
Faculty & Team
How to Enroll
Reviews
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Course Overview

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Why attend Navigating AI?

This program is designed to help you meet the escalating demand for strategic AI- and machine learning-informed leadership and gain a strategic advantage for your organization in an AI-driven world. This program integrates AI and machine learning technology, business strategy, and human-centric change management — preparing you not just for technological adoption, but also for the significant organizational transformation that accompanies digital disruption.

The course takes a collaborative, hands-on approach to developing AI-informed leadership skills for real-world application, featuring practical capstone projects that include developing an AI roadmap customized for implementation in your organization. Live sessions will give you the opportunity to network with a cohort of like-minded business leaders and engage directly with MIT Faculty, allowing you to workshop your ideas in real time with the minds shaping the future of AI.

Key Benefits

Self-Paced

This course is delivered in our Self-Paced Online format which enables you to participate at your own pace within weekly modules. This course runs over 6 weeks with an estimated 6-8 hours per week of study time

Certificate

Earn a certificate of course completion from the MIT Sloan School of Management

Interactive

You will learn through a variety of formats including interactive videos, practice quizzes, presentations, assignments, and discussion forums

Support

You will have access to a Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have

Course Takeaways

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Upon successful completion of your course, you will earn a certificate of completion from the MIT Sloan School of Management. This course may also count toward MIT Sloan Executive Certificate requirements.

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

  • The ability to evaluate the appropriateness of a business application for machine learning, generative AI, and robotics technologies.
  • A tailored roadmap for your organization to gain a strategic advantage through the application of artificial intelligence.
  • The capability to relate the Transition-Curve Framework to different challenges presented in digital transformations.
  • The skills to analyze the interplay between the three dimensions of transformation, and the confidence to recommend approaches for proactively managing digital transformation.
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Why choose MIT Sloan?

Join MIT Sloan to tackle global challenges with innovative solutions at the intersection of business and technology.

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Sample Schedule

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This course runs over 6 weeks with an estimated 6-8 hours per week of study time. The sample schedule outlined below is subject to change without notice.

  • Self-Paced Online

Orientation

Welcome to Your Online Campus

Section 1: AI Implications for Business Strategy

Module 1: An Introduction to Artificial Intelligence

Module 2: Machine Learning in Business

Module 3: Generative AI in Business

Module 4: Robotics in Business

Module 5: Artificial Intelligence in Business and Society

Module 6: The Future of Artificial Intelligence

Section 2: Machine Learning in Business

Module 1: Introduction to Machine Learning

Module 2: Implementing Machine Learning in Business

Module 3: Sensing the Physical World

Module 4: Helping Machines to Learn Language

Module 5: Finding Patterns in Human Transactions

Module 6: Machine Learning Challenges and Future

Section 3: Introduction to Handling the Human Side of Digital Transformation

Module 1: Navigating Transformational Change from the Human Perspective

Module 2: Transitioning to New Roles

Module 3: Leading People through Capability Shifts

Module 4: Navigating Emotions

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

Module 6: Mapping the Transition Journey

Download Full Course Schedule

Time Commitment

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The recommended weekly time commitment for core content is 4-5 hours, taking into account the busy lifestyles of working professionals, with an additional 2-3 hours recommended for non-compulsory weekly extension activities, should you have the time. Each module is released weekly, allowing a flexible but structured approach to learning. You’ll be supported as you engage in individual activities and group discussions, ensuring you feel confident to submit your best work at each weekly deadline.

Course Experience

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Learn more about the self-paced online experience.

Learn more about GetSmarter technical requirements.

Who Should Attend

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This program is ideal for executives and business professionals seeking a comprehensive understanding of AI and machine learning, their impact at the level of the individual, team, and organization, and how they can be strategically applied to organization-specific use cases. Business leaders across all industries stand to benefit from this expert-led MIT AI and machine learning leadership course.

Faculty & Team

Faculty

Sinan Aral
Faculty Member
Sinan Aral
David Austin Professor of Management; Professor, Information Technology and Marketing
David Autor
Faculty Member
David Autor
Daniel (1972) and Gail Rubinfeld Professor, Margaret MacVicar Faculty Fellow
Regina Barzilay
Faculty Member
Regina Barzilay
School of Engineering Distinguished Professor for AI and Health AI Faculty Lead, Jameel Clinic
Erik Brynjolfsson
Faculty Member
Erik Brynjolfsson
Director, Stanford Digital Economy Lab; Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, Stanford HAI
James Glass
Faculty Member
James Glass
Senior Research Scientist, Head of Spoken Language Systems Group, Computer Science and Artificial Intelligence Laboratory (CSAIL
Hal Gregersen
Faculty Director
Hal Gregersen
Senior Lecturer, Work and Organization Studies
Swati Gupta
Faculty Member
Swati Gupta
Class of 1947 Career Development Associate Professor; Associate Professor, Operations Research and Statistics
John Horton
Faculty Member
John Horton
Chrysler Associate Professor of Management; Associate Professor, Information Technology
Tommi Jaakkola
Faculty Member
Tommi Jaakkola
Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society
Stefanie Jegelka
Faculty Member
Stefanie Jegelka
X-Consortium Career Development Assistant Professor, Department Electrical Engineering & Computer Science
Roger Lehman
Faculty Director
Roger Lehman
Senior Lecturer
Danielle Li
Faculty Member
Danielle Li
David Sarnoff Professor of Management of Technology; Professor, Technological Innovation, Entrepreneurship, and Strategic Management
Andrew Lo
Faculty Member
Andrew Lo
Charles E. and Susan T. Harris Professor; Professor, Finance; Director, Laboratory for Financial Engineering
Thomas Malone
Faculty Director
Thomas Malone
Patrick J. McGovern (1959) Professor of Management; Professor, Information Technology; Director, MIT Center for Collective Intelligence
Sandy Pentland
Faculty Member
Sandy Pentland
Toshiba Professor of Media Arts & Science; Professor, Information Technology
Manish Raghavan
Faculty Member
Manish Raghavan
Drew Houston (2005) Career Development Assistant Professor; Assistant Professor, Information Technology
Rama Ramakrishnan
Faculty Member
Rama Ramakrishnan
Professor of the Practice, AI/ML
Jeanne Ross
Faculty Member
Jeanne Ross
Retired Researcher; Pro Bono Lawyer
Daniela Rus
Faculty Director
Daniela Rus
Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science; Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL)
Joshua Tenenbaum
Faculty Member
Joshua Tenenbaum
Professor, Department of Brain and Cognitive Sciences
Antonio Torralba
Faculty Member
Antonio Torralba
Delta Electronics Professor of Electrical Engineering and Computer Science; Head of the AI+D faculty, EECS
Catherine Tucker
Faculty Member
Catherine Tucker
Sloan Distinguished Professor of Management; Professor, Marketing
Faculty Insights
illustration of a talking bubble with AI written in it

What AI Will Do to Corporate Hierarchies?

The conventional wisdom says we can expect a more centralized structure. The author says the conventional wisdom has it wrong.

AI lasers

It is time to build a new economy. Digital data and artificial intelligence can help

The COVID-19 pandemic and ensuing economic crisis have revealed many ways in which American society isn’t working. We have a fragile and reactive healthcare system; an opaque, winner-takes-all economy; and a government that few people trust. These problems have been around for a long time, of course, but the current health emergency has brought them into sharper focus.

AI image of a head with AI brain inside

A leading AI researcher calls for standards to ensure equity and fairness

Regina Barzilay: Artificial intelligence systems developed for medicine must be more transparent and judged against a set of common standards to ensure fairness and equity.

How to Enroll

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Course Dates & Enrollment

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Select your preferred date and enroll in the upcoming sessions

Self-Paced Online

Date(s) Dates Coming Soon
Tuition $9,500
Go to GetSmarter Site

Self-Paced Online

Date(s) Nov 12, 2025–Apr 28, 2026
Location Online
Duration 21 Weeks
Commitment 6–8 hours/week
Tuition $9,500
Go to GetSmarter Site

Self-Paced Online

Date(s) Feb 4–Jun 30, 2026
Location Online
Duration 21 weeks
Commitment 6–8 hours/week
Tuition $9,500
Go to GetSmarter Site

Self-Paced Online

Date(s) Apr 15–Sep 8, 2026
Location Online
Duration 21 Weeks
Commitment 6–8 hours/week
Tuition $9,500
Go to GetSmarter Site

Self-Paced Online

Date(s) Jun 24–Nov 17, 2026
Location Online
Duration 21 Weeks
Commitment 6–8 hours/week
Tuition $9,500
Go to GetSmarter Site

Self-Paced Online

Date(s) Sep 2, 2026–Feb 23, 2027
Location Online
Duration 21 Weeks
Commitment 6–8 hours/week
Tuition $9,500
Go to GetSmarter Site

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Technology meets academic rigor in our people-mediated model which enables lifelong learners across the globe to obtain industry-relevant skills that are certified by the world’s most reputable academic institutions.

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