Digital Business
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Generative AI Business Sprint

Item No. a04U1000002ULKPIA4
EARN 1.0 EEU
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Next Available Date Start anytime
Format On-Demand Online
Duration 30 Days
Commitment 6 hours
Tuition $1,750
$1,750
Overview
Schedule
Who Should Attend
Faculty & Team
How to Enroll
Reviews

Course Overview

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Why attend the Generative AI Business Sprint?

Course Topics

Key Benefits

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benefits

MIT Faculty Insights

Flexible

Workbook

Certificate

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Discover MIT Business Sprints

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Discover MIT Business Sprints

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Learning Path

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What are Sprints from MIT Sloan Executive Education?

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Why choose MIT Sloan?

Sample Schedule

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6 hours (within 30 days)

Who Should Attend

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Who should attend the Generative AI Business Sprint?

Business Sprints from MIT Sloan Executive Education are asynchronous and on-demand and are therefore ideal for those seeking a highly flexible learning format. This course is designed to help all levels of management realize more potential from generative AI in their business—starting today. Regardless of whether you are currently in a technical or non-technical function, if you are looking to support your organization’s digital transformation, or you want to build capability and confidence in applying generative AI in your work, this course is for you.

  • Chief Learning Officers
  • Senior HR Leaders
  • Senior People Managers
  • VPs
  • Senior Directors
  • Technical or Non-technical Leaders

Who Should Attend

Who should attend the Generative AI Business Sprint?

  • Chief Learning Officers
  • Senior HR Leaders
  • Senior People Managers
  • VPs
  • Senior Directors
  • Technical or Non-Technical Leaders

Faculty & Team

Faculty

Paul McDonagh-Smith
Faculty Director
Paul McDonagh-Smith
Visiting Senior Lecturer
Rama Ramakrishnan
Faculty Member
Rama Ramakrishnan
Professor of the Practice, AI/ML
Antonio Torralba
Faculty Member
Antonio Torralba
Delta Electronics Professor of Electrical Engineering and Computer Science; Head of the AI+D faculty, EECS
Phillip Isola
Faculty Member
Phillip Isola
Associate Professor, Electrical Engineering and Computer Science
Jacob Andreas
Faculty Member
Jacob Andreas
Associate Professor, Electrical Engineering and Computer Science

How to Enroll

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Applying to the Course

Course Dates & Enrollment

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Select your preferred date and enroll in the upcoming sessions

Download Course Brochure

On-Demand Online

Date(s) Start anytime
Duration 30 Days
Commitment 6 hours
Tuition $1,750

Reviews

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