EXECUTIVE EDUCATION

AI & Automation for the Enterprise

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Course Dates

STARTS ON

September 2, 2021

Course Duration

DURATION

6 weeks
4-6 hours per week

Course Duration

PROGRAM FEE

US$2,600

Course Information Flexible payment available

Overview

Artificial intelligence (AI) is spawning a new phase of automation, changing the way companies operate by optimizing processes, customer experience, and decision-making. Presented by the Massachusetts Institute of Technology's (MIT) Schwarzman College of Computing, this program is designed to help you leverage automation technologies to create value for your organization and serves as the first step in building an organizational roadmap for automation.

The program blends technical and organizational considerations to strategically address how, when, and why companies should leverage autonomy to support their workforce. Over the course of six weeks, you will,

  • Explore the capabilities and applications of automation technologies in both the physical and cognitive fields, using examples from manufacturing, transportation, and other forward-thinking industries,
  • Gain insights from MIT faculty members and industry leaders as you examine the history and the present state of automation technologies as well as future trends,
  • Develop an awareness of the key strategic, social, economic, and ethical impacts of automation through insights and strategies influencing work of the future.

Key Takeaways

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

  • Apply vocabulary and concepts of automation to effectively communicate with stakeholders, from automation specialists to decision-makers
  • Explore the capabilities and applications of automation at a physical and cognitive level
  • Discuss how automation can create value in various organizational functions and processes
  • Recognize the technological, strategic, and broader societal implications of automation

Who Is This Program For?

This six-week program was developed to help today's leaders understand the scope of automation in different industries and learn how it can be successfully implemented for valuation creation and preparation for the work of the future.

Who will benefit:

  • Senior executives looking to identify key focus areas in their company/industry that can be automated and begin their journey to develop an automation implementation roadmap for their organization, a specific unit, or set up an automation task force in their company,
  • Midlevel functional managers seeking to learn how automation can help improve work performance within their functional area and help them stay ahead of the competition,
  • Automation engineers aiming to understand the business applications of automation to aid in their decision-making.

Learning Experience

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Recorded Video Lectures

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Discussion Groups

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Activities and Assignments

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Office Hours 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

Acquire the key vocabulary of automation and learn the basic mechanisms of robot software architectures, machine learning, and simulation systems.

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

Acquire the key vocabulary of automation and learn the basic mechanisms of robot software architectures, machine learning, and simulation 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 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.

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 and the Institute for Data, Systems and Society. His research interests lie in the broad area of embedded systems and mobile robotics. His recent research has focussed on developing planning and control... 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

Certificate

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

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Flexible payment options available. Learn more.