Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity

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Course Dates: November 28, 2018 - February 5, 2019
Registration closes December 5, 2018

Duration: 2 Months (with a 2-week holiday break from Dec 23, 2019 - Jan 6, 2019)

Price: $2300 (Flexible Payment Options available. Learn more when you register.)

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Course Information

A digital revolution is currently underway. Technology permeates every aspect of our society: communication, education, medicine, transportation, farming, and manufacturing. Cryptocurrencies are disrupting banking systems. Hyperconnectivity— through communication systems, sensors, wearables, and smart devices—has blurred the boundary between the physical and digital worlds.

Professionals who understand the implications of big data, and more importantly how to leverage it, can help their companies connect to customers and stakeholders with efficiency and precision, creating new opportunities and staying ahead of competition. Digital platforms offer fundamental improvements to traditional business models, can transform entire industries, and are key drivers of growth. Web-based enterprises that leverage digital infrastructure can enter markets quickly and move with agility in the new digital economy.

Led by MIT faculty at the forefront of data science and cyber security, in this course, participants will learn the history and application of transformative technologies such as blockchain, artificial intelligence, cloud computing, IoT, and cybersecurity as well as the implications of employing—or ignoring—digitalization.

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MIT Professional Education is working with Emeritus to deliver this online course. For additional course details, or to speak to a program advisor, please request more program information here:

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Key Takeaways

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

  • Create an Ethereum account, create transactions, and understand smart contracts
  • Navigate GitHub, commission a web server, and understand how to leverage cloud platforms and tools
  • Understand some of the key implications of artificial intelligence for industry and education
  • Visualize how your data is accessed when browsing popular websites and define threats when engaging in online activities

Who Should Attend

  • Professionals in traditional companies poised to implement strategic change, as well as entrepreneurs seeking to harness the opportunities afforded by new technologies, will learn the fundamentals of digital transformation and secure the necessary tools to navigate their enterprise to a digital platform.
  • Participants come from a wide range of industries and include C-suite executives, business consultants, corporate attorneys, risk officers, marketing, R&D, and innovation enablers.

What's in the Course

Module 1: Blockchain Foundations

Explore the history and evolution of blockchain, as well as the fundamentals of its structure.

  • Distributed ledgers, public keys, and hash functions
  • Synchronous vs. asynchronous computing Mining and consensus
  • Transactions vs. contracts
  • Industry influence of Bitcoin and Ethereum

Module 4: Cloud

Learn about the inoperability issues that paved the way for cloud solutions, cloud computing structure, and implementation.

  • Basics of the Cloud mode
  • Services and shared resources
  • Containers and virtual machines
  • Mobility and scalability
  • Microservices
  • Serverless functions
  • Everything as a Service (EaaS)

Module 2: Blockchain Applications

Explore the applications of blockchain beyond cryptocurrency and how the evolution of smart contracts expanded its possibilities to include any industry or business function.

  • Legal contracts
  • Financial inclusion
  • Identity ownership and control
  • Initial coin offerings
  • Decentralized autonomous organizations
  • Autonomous cities

Module 5: The Internet of Things

Explore how the unprecedented expansion of IoT devices enable innovation in areas such as business, manufacturing, and health care.

  • Connections and interoperability
  • Data collection and management
  • Process manufacturing
  • Privacy and security concerns

Module 3: Artificial Intelligence and the Future of Work

Learn the impact of AI implementation on multiple industries and focus on how AI impacts labor and the working economy.

  • Changing labor force
  • Language translation
  • Evolution of learning
  • Human augmentation
  • Defense and cybersecurity
  • Data science teams

Module 6: Cybersecurity

Explore how industries struggle to keep pace with the rapidly changing landscape of cyber- attack methods as well as how to develop impervious security strategies.

  • Password hacking
  • Browser privacy
  • VPNs
  • IoT security risks
  • Cyber-attack patterns
  • Finding talent

About the Instructors

Dr. John R. Williams
Professor of Information Engineering and Director of MIT’s Geospatial Data Center

Professor John R William Professor John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a Ph.D. in Numerical Methods from University of Wales, Swansea. His research focuses on the application of large-scale computation to problems in cyberphysical security and energy studies. He is director of MIT’s Geospatial Data Center and from 2006-2012, he was Director of the MIT Auto-ID Laboratory, which invented the Internet of Things.

Dr. Abel Sanchez
Research Scientist and Executive Director of MIT’s Geospatial Data Center

Dr. Abel Sanchez Dr. Abel Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT). He is the Executive Director of MIT’s Geospatial Data Center, architect of “The Internet of Things” global network, and architect of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Altria. In cyber security, Dr. Sanchez architected impact analysis of large-scale cyber-attacks designing Cyber Ranges for the Department of Defense (DOD).