Designing and Building AI Products and Services

Uncover limitless possibilities with AI

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Course Dates

STARTS ON

August 25, 2022

Course Duration

DURATION

8 weeks, online
6 hours per week

Course Fee

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.

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. Given the broad spectrum of AI’s applications in organizations, it’s no surprise that AI Specialist is the top-rated job on the LinkedIn Emerging Jobs Report in 2020. With an annual growth rate of 74% for this position, 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.

$15.7 trillion

Potential contribution to the global economy by 2030 from AI

Source: PwC

$93.5 billion

Value of the global AI market in 2021, projected to grow at a CAGR of 38.1% through 2030

Source: Grand View Research

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

Week 1:

Introduction to the Artificial Intelligence Design Process

Get acquainted with the stages involved in designing an AI-based product with a focus on specifics such as the cost metrics and technical requirements of an AI software development plan.

Week 2:

Artificial Intelligence Technology Fundamentals – Machine Learning

Identify various machine learning algorithms and study the different approaches such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.

Week 3:

Artificial Intelligence Technology Fundamentals – Deep Learning

Building on the knowledge of machine learning fundamentals gained in Week 2, explore the basics of deep learning. The topics include neural networks, artificial neurons, and simulation of complex networks.

Week 4:

Designing Artificial Machines to Solve Problems

Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.

Week 5:

Designing Intelligent Human-Computer Interaction (HCI)

Use the resources provided in this module to understand the techniques, application areas, benefits, and drawbacks of HCI. Learn to define an appropriate level of machine involvement in interactions with humans and computers. Seek ways to use artificial intelligence to your advantage.

Week 6:

Superminds: Designing Organizations that Combine Artificial and Human Intelligence

Get an introduction to the concept of superminds, and compare and contrast the different types of superminds. Analyze how humans and machines can work together to surpass the sum of their parts. Apply cognitive processes to various organizations and community problems.

Week 7:

Marketplace Frontiers of AI Design: Research

Learn how artificial intelligence and Generative Adversarial Networks (GANs) can be used to generate fake images and videos from real data. Assess the technical, social, and economic impact of AI technologies.

Week 8:

Marketplace Frontiers of AI Design: Practice

Implement the Lawler Model to define an AI problem. Design and construct a summary of an AI product or process using learnings from the previous modules of the program.

Week 1:

Introduction to the Artificial Intelligence Design Process

Get acquainted with the stages involved in designing an AI-based product with a focus on specifics such as the cost metrics and technical requirements of an AI software development plan.

Week 5:

Designing Intelligent Human-Computer Interaction (HCI)

Use the resources provided in this module to understand the techniques, application areas, benefits, and drawbacks of HCI. Learn to define an appropriate level of machine involvement in interactions with humans and computers. Seek ways to use artificial intelligence to your advantage.

Week 2:

Artificial Intelligence Technology Fundamentals – Machine Learning

Identify various machine learning algorithms and study the different approaches such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.

Week 6:

Superminds: Designing Organizations that Combine Artificial and Human Intelligence

Get an introduction to the concept of superminds, and compare and contrast the different types of superminds. Analyze how humans and machines can work together to surpass the sum of their parts. Apply cognitive processes to various organizations and community problems.

Week 3:

Artificial Intelligence Technology Fundamentals – Deep Learning

Building on the knowledge of machine learning fundamentals gained in Week 2, explore the basics of deep learning. The topics include neural networks, artificial neurons, and simulation of complex networks.

Week 7:

Marketplace Frontiers of AI Design: Research

Learn how artificial intelligence and Generative Adversarial Networks (GANs) can be used to generate fake images and videos from real data. Assess the technical, social, and economic impact of AI technologies.

Week 4:

Designing Artificial Machines to Solve Problems

Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.

Week 8:

Marketplace Frontiers of AI Design: Practice

Implement the Lawler Model to define an AI problem. Design and construct a summary of an AI product or process using learnings from the previous modules of the program.

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Faculty

Faculty Member BRIAN SUBIRANA

BRIAN SUBIRANA

Director, MIT Auto-ID lab; Director, MIT and Accenture Convergence Initiative for Industry and Technology

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 on manufacturing, e-learning, the creative industries, and digital health... More info

Faculty Member ANDREW LIPPMAN

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 blockchains. In the 1980s, Lippman developed the Movie Map that presaged Google’s Street View... More info

Faculty Member STEFANIE MUELLER

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 systems that advance personal fabrication technologies... More info

Faculty Member DUANE BONING

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 Engineering Faculty Co-Director of the MIT Leaders for Global Operations program... More info

Faculty Member BRUCE LAWLER

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 networks. He has headed multiple ventures in fields ranging from consumer and industrial hardware to wireless and video network operations... More info

Faculty Member THOMAS W. MALONE

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 predicted major business and technology trends decades before they happened... More info

Faculty Member BARBARA H. WIXOM

BARBARA H. WIXOM

Principal Research Scientist, MIT Center for Information Systems Research (CISR)

Wixom leads the MIT CISR Data Research Advisory Board, comprised of data and analytics executives from CISR organizations. Her research explores how organizations generate business value from data assets... More info

Guest Speakers

Faculty Member David Anderton-Yang

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 feedback on their videos. Anderton-Yang is a recipient of the Forbes 30 Under 30. He completed his research at the MIT Media Lab and teaches big data, IoT, and cybersecurity in the research organization. He is also a faculty mentor in online teaching and engagement at Harvard.

Faculty Member Aruna Sankaranarayanan

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 manipulate media to modify perception and inspire creativity. The Lab also studies how such manipulation can create misinformation. In the past, she has built server infrastructure for maps at Mapbox, designed science games, and contributed to free and open-source software communities.

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 5 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.

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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@emeritus.org

FAQs

  • How do I know if this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.


    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.


    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.


    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.


    What other dates will this program be offered in the future?

    Check back to this program web page or email us at learner.success@emeritus.org to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.



    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please contact us at learner.success@emeritus.org if you need further clarification on program activities.



    What is it like to learn online with the learning collaborator, Emeritus?

    More than 250,000 professionals globally, across 80 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.


    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification on any specific program requirements.


    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.
    The digital certificate will be sent approximately two weeks after the program, once grading is complete.


    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.


    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.


    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.


    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.


    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in USD via wire transfer or debit card. Please contact your program advisor, or email us at learner.success@emeritus.org for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us at learner.success@emeritus.org with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enrolling in.


    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.


    Does the program fee include taxes? Are there any additional fees?

    Yes, the program fee is inclusive of any taxes, except for GST for Singapore residents.


    How can I obtain a W9 form?

    Please email us at learner.success@emeritus.org for assistance.

  • What is the policy on refunds and withdrawals?

    You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrolment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.



    What is the policy on deferrals?

    After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrolment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrolment remains. All deferral requests should be sent to admissions@emeritus.org.

Financing Options

Climb Credit*

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

Flexible Payment Options For All

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

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Flexible payment options available. Learn more.