Designing and Building AI Products and Services

Uncover potential applications of AI for growth

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Introduction to AI-Based Product Design

If you are a technology professional or an entrepreneur working in the field of artificial intelligence (AI), this program will help you understand design principles and applications of AI across various industries. The goal is for you to create an AI-based product proposal, which can be presented to your internal stakeholders or investors. You will learn the various stages involved in the design of AI-based products, and the fundamentals of machine and deep learning algorithms, and apply the insights to solve practical problems.

Who Is This Program For?

This 8-week course is ideal for you if you are a technical product leader, technology professional, technology consultant, or entrepreneur who wants to enhance your understanding of AI technology fundamentals and tools, and explore various design processes involved in AI-based products. Knowledge of calculus, linear algebra, statistics, and probabilities is beneficial, along with basic Python experience. The program is ideal for:

  • Technical Product Managers in charge of machine learning and AI-based products in their organizations who are looking to add value to their organization by leveraging the latest in AI technologies.

  • Technology Professionals who design and develop technology solutions aligned to organizations’ needs and are looking to broaden their understanding of developing AI-based solutions using machine learning algorithms.

  • Technology Consultants who focus on the analysis, design, and development of technology solutions for clients.

  • Founders of AI Startups that build AI-driven applications and want to learn a proven framework for developing viable AI products and network with other technologists.

  • UI/UX Designers responsible for managing user experience of AI-based applications.

Key Takeaways

Build a foundation

  • Learn the four stages of AI product design

  • Identify applicable AI technologies to improve organizational processes

  • Analyze technical and operational requirements to build AI models

Expand your knowledge

  • Differentiate between various machine learning algorithms

  • Design AI products to solve organizational issues

  • Learn about challenges you may encounter when designing AI products

Apply learnings

  • Learn to apply machine learning methods to practical problems

  • Design intelligent human-machine interfaces

  • Assess AI opportunities in various fields such as healthcare and education

Become proficient

  • Identify an operational challenge and propose a technical solution for it

  • Implement the Lawler Model for defining an AI problem and identify key steps to build an organization case

  • Design and construct an executive summary of an AI product or process using the AI design process model

Program Highlights

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Earn a certificate and 5 Continuing Education Units (CEUs) from MIT xPRO

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Insights and examples from renowned MIT faculty

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Market-ready skills for evaluating the opportunity for AI solutions and making the case for it

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Develop an AI project proposal to present to internal stakeholders or investors

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Advance your knowledge through crowdsourcing, demos, and design-support activities

Program Topics

Faculty

BRIAN SUBIRANA-Faculty
BRIAN SUBIRANA

Former Director, MIT Auto-ID lab

Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and he is also on the faculty of Harvard University. His research centers on IoT and AI, and focuses o...

ANDREW LIPPMAN-Faculty
ANDREW LIPPMAN

Senior Research Scientist, MIT; Associate Director, MIT Media Lab

Andrew Lippman heads the Viral Communications research group at MIT Media Lab. His work has ranged from digital video and entertainment to graphical interfaces, networking and...

STEFANIE MUELLER-Faculty
STEFANIE MUELLER

X-Career Development Assistant Professor, MIT Electrical Engineering and Computer Science, joint with Mechanical Engineering

Stefanie Mueller is the head of the Human Computer Interaction Communities of Research (HCI CoR) at MIT CSAIL. In her research, she develops novel hardware and software system...

DUANE BONING-Faculty
DUANE BONING

Clarence J. Lebel Professor, Electrical Engineering and Computer Science

Duane Boning is affiliated with the MIT Microsystems Technology Laboratories and serves as Associate Director for Computation and CAD (computer-aided design). He is also the E...

BRUCE LAWLER-Faculty
BRUCE LAWLER

Managing Director, MIT Machine Intelligence for Manufacturing and Operations (MIMO)

Bruce Lawler is a technology entrepreneur and an executive leader. He has developed several applications across platforms such as mobile, SaaS, AI and video distribution netwo...

THOMAS W MALONE-Faculty
THOMAS W. MALONE

Patrick J. McGovern Professor of Management, MIT Sloan Founding Director, MIT Center for Collective Intelligence

Thomas W. Malone is the Professor of Information Technology and a Professor of Work and Organizational Studies at MIT. In his researches over the years, Malone rightly predict...

Guest Speakers

DAVID ANDERTON-YANG-Guest-Speaker
DAVID ANDERTON-YANG

Chief Executive Officer, Voomer

David Anderton-Yang heads the startup Voomer, which helps users build confidence in video interviews. The service uses an AI-enhanced video analysis technique to give users fe...

ARUNA SANKARANARAYANAN - Guest-Speaker
ARUNA SANKARANARAYANAN

Research Assistant, MIT Media Lab

Aruna Sankaranarayanan works at the Viral Communications group at the MIT Media Lab. Her research looks at the ways in which deep learning and computer vision techniques can m...

Certificate

Certificate

Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 4.80 Continuing Education Units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.

Note: After successful completion of program, your verified digital certificate will be emailed, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT.

Registration for this program is done through Emeritus. You can contact us at learner.success@emeritus.org

FAQs

Financing Options

Climb Credit*

We offer financing options with our partner, Climb Credit*. Click here to learn more.

Flexible Payment Options For All

Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.

Didn't find what you were looking for? Write to us at mit.xpro@emeritus.org or Schedule a call with one of our Program Advisors or call us at +91-8692991239

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