AI & Automation for the Enterprise:

Take your output to the next level

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

6 weeks
4–6 hours per week

Course Duration

PROGRAM FEE

Key Takeaways

At the end of the program, you will be able to:

  • Examine how automation can create value in various organizational functions and processes.
  • Identify areas where autonomy can be used most strategically, such as improving your workforce (not replacing it).
  • Recognize the broader strategic, technological, and societal implications of automation.
  • Learn to effectively communicate about automation concepts with stakeholders—both technical and non-technical.

Who Is This Program For?

This six-week program was developed to help today's leaders understand where automation is deployed most effectively across a variety of different industries. You will learn how it can be implemented to create value and prepare for the work of the future.

Who will benefit :

  • Senior management including C-suite executives who need to identify key areas in their company/industry where automation can have the biggest impact, while having an eye toward the future of work.
  • Mid-level functional managers who are interested in learning how automation can help improve workforce performance within their functional area and help them stay ahead of the competition.
  • Automation engineers who wish to understand the business applications of automation to aid in their decision-making.

Learning Experience

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Live Q&A Session with MIT Faculty

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Recorded Video Lectures

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Discussion Groups

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Application Exercises

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Office Hours with Subject Matter Experts for Added Support

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Peer Networking Opportunities

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Continuous Program Access for Up to 12 Months

Program Topics

Module 1:

Introduction to Automation and Autonomy

Learn the language of automation and become familiar with the basic mechanisms of robot software architectures, machine learning, and simulation system.

Module 2:

Dialogue Systems-From Chatbots to Conversational AI

Trace the evolution of dialogue systems by examining their capabilities, limitations, and mechanisms. Explore opportunities to implement a dialogue system at your organization.

Module 3:

Automation in Manufacturing

Discover the market trends and commercial applications of cutting-edge automation technologies in manufacturing with a special focus on collaborative robotic (cobots) systems.

Module 4:

Autonomous Drones: Enabling Technologies, Commercial Applications, and Emerging Frontiers

Recognize the market size and growth of autonomous drones. Describe the enabling technologies, commercial applications, and business value of autonomous drones.

Module 5:

Autonomy and Automation in Transportation and Logistics

Explore the commercial applications, state-of-the-art technology, and near-term possibilities of autonomy and automation in transportation and logistics.

Module 6:

Preparing for the Future of Work

Assess the strategic, economic, and social impacts of automation and devise actionable plans to prepare for the future of work.

Module 1:

Introduction to Automation and Autonomy

Learn the language of automation and become familiar with the basic mechanisms of robot software architectures, machine learning, and simulation system.

Module 4:

Autonomous Drones: Enabling Technologies, Commercial Applications, and Emerging Frontiers

Recognize the market size and growth of autonomous drones. Describe the enabling technologies, commercial applications, and business value of autonomous drones.

Module 2:

Dialogue Systems-From Chatbots to Conversational AI

Trace the evolution of dialogue systems by examining their capabilities, limitations, and mechanisms. Explore opportunities to implement a dialogue system at your organization.

Module 5:

Autonomy and Automation in Transportation and Logistics

Explore the commercial applications, state-of-the-art technology, and near-term possibilities of autonomy and automation in transportation and logistics.

Module 3:

Automation in Manufacturing

Discover the market trends and commercial applications of cutting-edge automation technologies in manufacturing with a special focus on collaborative robotic (cobots) systems.

Module 6:

Preparing for the Future of Work

Assess the strategic, economic, and social impacts of automation and devise actionable plans to prepare for the future of work.

Featured Program Examples

Innovative companies are developing advanced autonomous agents to produce a myriad of benefits across every industry, including consumer markets, defense and aerospace, manufacturing, construction, and agriculture. Some examples include:

Logo for NASA

NASA

Drones for space exploration.

Logo for DARPA

DARPA Urban Challenge

Take a deep dive into the anatomy of the autonomous vehicle that a team from MIT designed as part of a challenge organized by an R&D agency within the U.S. Department of Defense.

Logo for Fraunhofer IWU

Fraunhofer IWU

Examine how Fraunhofer IWU developed collaborative robot systems (Cobots) as a cutting-edge automation technology in manufacturing.

Logo for Skydio

Skydio

Consumer drones for photography.

Logo for Percepto AIM

Percepto AIM

Drones for construction.

Logo for Anduril

Anduril

Drones for aerospace and defense.

Logo for Aloft (formerly Kittyhawk.io)

Aloft (formerly Kittyhawk.io)

Drones for personal transportation.

Logo for Guardian Agriculture

Guardian Agriculture

Drones for commercial agriculture.

Note: All product and company names are trademarks or registered trademarks of their respective holders. The study of these products and/or companies does not imply any affiliation with or endorsement by them.

About Massachusetts Institute of Technology’s (MIT) Stephen A. Schwarzman College of Computing

The mission of the MIT Schwarzman College of Computing is to address the opportunities and challenges of the computing age—from hardware to software to algorithms to artificial intelligence. In order to deliver on this mission, the college is designed to take MIT’s computing programs, already the top-ranked in the world, to the next level by facilitating the rapid evolution of computing education and research programs, improving collaboration between computing and other disciplines, and advancing the study and practice of social and ethical responsibilities of computing. The college’s unique structure is at once, both cross-cutting across all of MIT, and a focused home for computer science and artificial intelligence education and research—strengthening the computing fields and more effectively and creatively connecting AI and computing to every discipline.

Faculty

Profile picture of course faculty Sertac Karaman

Sertac Karaman

Faculty Lead

Sertac Karaman is the Director of the Laboratory for Information and Decision Systems, Associate Director in the Institute for Data, Systems, and Society, and Associate Professor of Aeronautics and Astronautics at MIT. His research interests lie in the broad area of embedded systems and mobile robotics... More info

Profile picture of course faculty Daniela Rus

Daniela Rus

Faculty Lead

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, Director of the Computer Science and Artificial Intelligence Laboratory at MIT, and Deputy Dean of Research in the Schwarzman College of Computing at MIT... More info

Profile picture of course faculty David Autor

David Autor

Instructor

David Autor is Ford Professor in the MIT Department of Economics, codirector of the NBER Labor Studies Program, and coleader of both the MIT Work of the Future Task Force and the JPAL Work of the Future experimental initiative. His scholarship explores the labor-market impacts of technological change and globalization on job polarization... More info

Profile picture of course faculty Jim Glass

Jim Glass

Instructor

James Glass is a Senior Research Scientist at MIT where he leads the Spoken Language Systems Group in the Computer Science and Artificial Intelligence Laboratory. He is also a member of the Harvard-MIT Health Sciences and Technology Faculty. His research focuses on automatic speech recognition, unsupervised speech processing... More info

Profile picture of course faculty Julie Shah

Julie Shah

Instructor

Julie Shah is associate dean of Social and Ethical Responsibilities of Computing at MIT, a Professor of Aeronautics and Astronautics, and director of the Interactive Robotics Group, which aims to imagine the future of work by designing collaborative robot teammates that enhance human capability... More info

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Get recognized! Upon completion of the program, MIT Schwarzman College of Computing grants a certificate to successful participants.

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