Building AI Products and Services

Master the art of crafting cutting-edge AI solutions with certification from #1 school in QS Global World Rankings

Earn a certificate from MIT xPRO and 4.80 CEUs
Live workshops by industry experts
Develop a design proposal for AI application
Learn implementation of AI & ML technologies in your organization

Round Application Deadline

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Introduction to AI-Based Product Design

If you are a technology professional or entrepreneur in the AI field, this program is designed to enhance your grasp of AI design principles and their applications across multiple industries. The aim is to enable you to develop a compelling AI-based product proposal that you can present to internal stakeholders or investors. You will gain knowledge of the different stages involved in designing AI products, learn the core concepts of machine learning and deep learning algorithms, and apply this knowledge to address real-world problems. This global course, offered by MIT xPRO, will elevate your expertise in AI product development.

Exploring AI: From Pureplay Technology to Human-Computer Interaction

Watch this video by Dr. Brian Subirana as he explores AI’s evolution—from machine learning fundamentals to human-computer interaction, media, and robotics—revealing how AI is shaping the future of technology and innovation.

Why AI — and Why Now?

Deploying the right AI technologies in your organization can help you automate routine tasks, gain insights through data analytics, and engage better with customers. The use of generative AI at work has nearly doubled in the past six months. LinkedIn is seeing a significant increase in professionals adding AI skills to their profiles, and most leaders say they wouldn’t hire someone without AI skills. Every industry is clamoring for AI talent to first devise a strategic plan for AI applications, and then help manage and optimize them in practice.

Who Is This Program For?

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.

Program Highlights

Earn a certificate from MIT xPRO

Insights and case-studies from renowned MIT faculty

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

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

Live workshop sessions on AI & ML models, AI/Gen AI applications in Ecommerce, IT industry & on using OpenAI to build product prototypes

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

Assignments and Projects

Capstone Project

This program culminates with the creation of an AI design process model. Based on the knowledge gained throughout the program, you will develop a plan for an AI-based product or service.

Program Workbook

Workbooks provided at the end of certain modules require participants to apply insights from program content to formulate solutions to assigned problems.

Resources and Industry Applications

Generative Adversarial Networks (GANs)

Generative Pre-trained Transformer 3 (GPT-3)

Cough Test App

Human-Computer Interaction (HCI)

Soli

Participant Testimonial

I really liked the faculty, curriculum, and overall flow of the MIT xPRO Building AI Products and Services program. The assignments and capstone project were particularly well-designed. As someone relatively new to AI, this program helped me upskill significantly. It has also been invaluable in my role as an angel investor, allowing me to better evaluate AI startups and their business models. I’ve already recommended this course to a colleague and will continue to do so for future learners!

Ramesh Sethuraman

Founder and CEO

Optimity Technologies- India and the US

Program Modules

Module 1 : Introduction to the Artificial Intelligence Design Process

Module 2 : Artificial Intelligence Technology Fundamentals — Machine Learning

Module 3 : Artificial Intelligence Technology Fundamentals — Deep Learning

Module 4 : Designing Artificial Machines to Solve Problems

Module 5 : Generative AI

Module 6 : Designing Intelligent Human-Computer Interaction (HCI)

Module 7 : Superminds: Designing Organizations that Combine Artificial and Human Intelligence

Module 8 : Marketplace Frontiers of AI Design: Research

Module 9 : Marketplace Frontiers of AI Design: Practice

Capstone Project

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

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

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

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

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

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

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

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...

Program Leader

Dr. M. Scalem

PATHFINDER GLOBAL, Head – Global Customer Success | SVP

A working professional with a Fellowship (Doctorate) from prestigious IIMC (IIM Calcutta) and more than 15 years of experience across IT & ITES, Healthcare, Retail Real-Estate...

Live Session with Brian Subirana

Generative AI Disruption: RAG and Cloud Applications

In this live session, Brian Subirana will explore the impact of Retrieval-Augmented Generation (RAG) on cloud services, using an Amazon case study to demonstrate its effectiveness. Focusing on how RAG is driving innovation and disruption, this session will provide key insights into its practical applications. It is an essential discussion for understanding the role of generative AI in modern cloud technologies.

Note: Live sessions mentioned here are subject to change.

Certificate from MIT xPRO

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 mit.xpro@emeritus.org

This program is open for enrolments for residents of India, Bangladesh, Bhutan, Myanmar, Nepal, Pakistan, Sri Lanka, Philippines, Indonesia, Thailand, Vietnam and Malaysia only.

Note:

Learning facilitator details and office hour dates and timings are from previous batches. The learning facilitators may change for upcoming batches based on availability and the office hour timings and dates may be changed based on a mutually decided schedule between Emeritus and the Learning facilitator.

*Mentioned timelines are tentative.

Emeritus Career Services

15 recorded sessions and resources in the following categories

(Please note: These sessions are not live)

Resume And Cover Letter Building
Job Search Navigation
Interview Preparation
LinkedIn Profile Optimization
Access To Interview Preparation Guidebooks in Business Analytics and Data Science, Digital Marketing, And Product Management.

Note: -

MIT xPRO or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. MIT xPRO is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

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