Automation for Digital Transformation

Learn the strategic impact and application of automation

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Course Dates

STARTS ON

June 22, 2022

Course Duration

DURATION

6 weeks
4–6 hours per week

Course Fee

PROGRAM FEE

US$2,600 US$2,392

Course Information Flexible payment available
Round 1

The deadline for this round has passed

1
Round 2

US$2,392 / program fee

Application Deadline
2

Key Takeaways

For senior business leaders, functional managers, and automation engineers who want to leverage automation to make their organizations more competitive, this program provides a foundational understanding of how automation can improve efficiency and effectiveness across your organization. The global artificial intelligence (AI) market is forecasted to reach USD 185.17 billion by 2026 at a compound annual growth rate (CAGR) of 39.7%.

In this program you will:
  • Identify when, where, and why advanced automation can optimize processes, support your workforce, and create value.
  • Examine specific examples of how automation is transforming organizations across multiple industries with technologies including dialog systems, intelligent robotics, drones, and other autonomous agents.
  • Learn how these technologies are evolving and their impact on the future of work.
  • Strategize how these technologies can create value in your organization and develop a roadmap for their implementation.

Schedule a call with one of our academic advisors.
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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 the capabilities, limitations, and mechanisms, and 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 and understand their enabling technologies, commercial applications, and business value

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 and understand their enabling technologies, commercial applications, and business value

Module 2:

Dialogue Systems-From Chatbots to Conversational AI

Trace the evolution of dialogue systems by examining the capabilities, limitations, and mechanisms, and 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.

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

Analysis of Real-World Companies

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

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.