Professional Certificate Program in Machine Learning and Artificial Intelligence

MIT Professional Education is pleased to offer the Professional Certificate Program in Machine Learning and Artificial Intelligence. MIT has played a leading role in the rise of AI and the new category of jobs it is creating across the world economy. Our goal is to ensure businesses and individuals have the education and training necessary to succeed in the AI-powered future. This certificate guides participants through the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods to further your knowledge of this ever-evolving industry.

Awarded upon successful completion of four qualifying Short Programs courses in Professional Education, this certificate equips you with the best practices and actionable knowledge needed to put you and your organization at the forefront of the AI revolution.

How to Apply

To apply, submit an application for the program using the link below, along with a non-refundable $275 application fee. After you have been accepted into the program, you should then apply for the individual courses that you intend to take this year.

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innovation certificate application link  Application Deadline: April 28, 2018

 

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KEY BENEFITS

The Professional Certificate Program in Machine Learning and Artificial Intelligence enables you to:

  • Learn in-person from renowned MIT faculty and leading industry practitioners
  • Learn essential concepts and skills needed to develop effective AI systems
  • Understand the challenges posed by AI in the workplace
  • Apply cutting-edge, industry-relevant knowledge in machine learning and AI
  • Network with an accomplished group of peers from around the globe

As an MIT Professional Education Professional Certificate Program alumnus you will:

  • Earn Continuing Education Units (CEUs)
  • Receive a 15% discount on future MIT Professional Education courses
  • Gain membership in the exclusive MIT Professional Education LinkedIn group
  • Receive a complimentary one-year subscription to the MIT Technology Review upon completion of the program
  • Obtain updates on faculty research, new programs, and MIT initiatives via our newsletter

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WHO SHOULD ATTEND

The Professional Certificate Program in Machine Learning and Artificial Intelligence is designed for:

  • Professionals with at least three years of professional experience who hold a bachelor's degree (at a minimum) in a technical area such as computer science, statistics, physics, or electrical engineering
  • Anyone whose work interfaces with data analysis who wants to learn key concepts, formulations, algorithms, and practical examples of what is possible in Machine Learning and Artificial Intelligence
  • Managers who need the vision and understanding of the many opportunities, costs, and likely performance hurdles in predictive modeling, especially as they pertain to large amounts of textual (or similar) data
  • Professionals looking for a deeper understanding and hands-on experience with MIT faculty and industry experts

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WHY STUDY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE AT MIT?

Machine learning is more than just algorithms: it requires math, statistics, data analysis, computer science, and programming skills. MIT is a hub of research and practice in all of these disciplines and our Professional Certificate Program faculty come from areas with a deep focus in machine learning and AI, such as the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL); the MIT Institute for Data, Systems, and Society (IDSS); and the Laboratory for Information and Decision Systems (LIDS).

The program allows individuals to interact with all these key disciplines. Leading MIT faculty experts will guide participants through the latest breakthroughs in research, cutting-edge technologies, and best practices used for building effective AI-systems. The program provides a well-rounded foundation of knowledge that can be put to immediate use to help people and organizations advance cognitive technology.

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CERTIFICATE REQUIREMENTS

This Professional Certificate Program consists of a required core course in Machine Learning and several elective courses that build on that foundation and explore related disciplines. Earning the Professional Certificate requires the completion of four qualifying courses within two years (three years if beginning in 2018). You can customize your learning experience by selecting the courses that are most relevant to you and your organization.

  • Successful completion of four qualifying Short Programs courses, including the required core course
  • Courses primarily take place in June, July, and August on MIT's campus
  • Additional courses may be offered in other locations; please see individual course pages for details
  • Courses must be taken within two years (three years if applying in 2018)
  • Non-refundable application fee: $275

Note: Participants who completed Machine Learning for Big Data and Text Processing in 2017 may apply this course to your program requirements. Please contact shortprograms@mit.edu for information.

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COST

The professional certificate program application fee is $275 (non-refundable). Each of the four courses will be paid at the per-course rate. Visit the Short Programs webpage for individual course information.

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CORE COURSES

Note: MIT Professional Education – Short Programs is committed to providing a diverse and updated portfolio of Short Programs courses and reserves the right to change these course selections in future years.

We recommend taking the core course first. Please contact shortprograms@mit.edu if you would like to start with electives first.

  • Machine Learning for Big Data and Text Processing: Foundations, June 18-19, 2018 - Ensures those who are just getting started in the field know the core mathematical concepts and theories relevant to machine learning. You'll walk away with a solid understanding of probability, statistics, classification, regression, optimization.
  • Advanced Machine Learning for Big Data and Text Processing, June 20-22, 2018 - See how the latest tools, techniques and algorithms driving modern and predictive analysis can be applied in different fields: what kinds of problems they can/cannot solve and what issues are likely to arise in practical applications.

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ELECTIVES

Note: MIT Professional Education – Short Programs is committed to providing a diverse and updated portfolio of Short Programs courses and reserves the right to change these course selections in future years.

  • Advances in Imaging: VR-AR, Machine Learning, and Self-Driving Cars, July 9-12, 2018 - Examine emerging solutions, like machine learning, that are opening up new research and commercial opportunities in immediate and future applications, including VR-AR, self-driving cars, and others.
  • Designing Efficient Deep Learning Systems, July 23-24, 2018 (also offered March 28-29, 2018 in Mountain View, CA) - Discover how to overcome power, memory, and processing challenges to deploy complex deep learning neural networks on IoT enabled devices such as cell phones, wearables, and drones.
  • Machine Learning for Healthcare - Explore machine learning methods for clinical and healthcare applications and how emerging trends will shape healthcare policy and personalized medicine.
  • Modeling and Optimization for Machine Learning, July 16-20, 2018 - Reduce machine learning problems to their standard mathematical form and understand how to identify the best algorithms and software tools to solve them.

More electives will be added in 2019. All content is subject to change.

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PRIMARY LOCATION

MIT is located in the intellectual, exciting, and vibrant city of Cambridge, Massachusetts, nestled next to the state capital of Boston and right on the Charles River. MIT is located in Kendall Square, an innovation hub with more startups than any other place in the world (for example, at CIC). Take time to visit historic Boston while here—catch a Red Sox game, go whale watching, visit world-class museums, take a boat ride on the Charles River, visit Quincy Market, or explore other local area colleges. TripAdvisor's Best of Boston Tourism list may be a good resource.

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