Designing and Building AI Products and Services

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

Identify various machine learning algorithms and study the different approaches, including Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms, and run and analyze the results from various machine learning algorithms. Additionally, Gain insights to apply AI to uncover genetic disease predispositions.

Inclusion of Mini lessons

• Investigate classifiers like linear models, decision boundaries, and the impact of feature engineering.

• Grasp the "Train, Validate, Test" methodology to avoid the pitfalls of training error.

• Understand Bayesian classifiers through a five-step prediction method.

• Compare logistic regression with support vector machines (SVMs) for binary classification

• Delve into unsupervised clustering techniques, including k-means for natural data grouping.

Building on the knowledge of machine learning fundamentals gained in Week 3, explore the basics of deep learning. The topics include neural networks, artificial neurons, and simulation of complex networks. Furthermore, discover Dr. Regina Barzilay's work on using AI to detect breast cancer, and understand Tempo, an AI detection application leveraging multimodality.

Details from Mini lessons

• Learn about artificial neurons and gradient descent, and understand the structure and function of artificial neural networks. Gain insights into multi-layer perceptrons (MLPs) and prepare to implement both single- and multi-layer perceptrons.

• Explore autoencoders, including their construction and implementation. Implement convolutional neural networks (CNNs) and get ready to run CNN applications. Learn about recurrent neural networks (RNNs) and their use in handling sequential data for tasks including speech recognition and language translation.

Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology. You will also, learn about the implementation and design of AI, including creating avatars through image creation and voice cloning.

Understand the first stage of transformers in natural language processing (NLP) architecture that converts written text into tokens for processing. Study the second stage of transformers in which where tokens are converted into vectors that capture the meaning of text. Explore the possibilities and limitations of Generative AI when decoders are added to transformer architecture.

Analyze a case study on AI limitations in gynecological decision-making. Discuss errors in image generation and language processing, and learn technical approaches to address these limitations.

Explore AI applications, from optimizing NLP embeddings and prompt engineering to evaluating benchmarks, improving business processes, and assessing AI’s role in expert decision making. Learn RAG and chain-of-thought prompting, and apply them in an interactive chatbot assignment on designing a RAG system.

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 AI to your advantage.

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.

Learn how AI 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.

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.

This AI product design course from MIT xPRO is valuable for professionals seeking a clear understanding of how to design, evaluate, and build AI systems effectively. The course emphasizes real-world applications, interactive exercises, and hands-on tools, helping participants gain AI skills that create a competitive edge in product, design, and technology roles.

The best program depends on your goals. The Designing and Building AI Products and Services course from MIT xPRO stands out for its focus on AI for product designers, UX design, information architecture, and creating prototypes that integrate human creativity with intelligent systems. The curriculum blends theory with real-world problems and applied learning.

This online course is well-suited for product designers, technologists, and busy professionals who want to develop a solid understanding of AI tools, AI projects, and design challenges. If you are responsible for user interfaces, user testing, or shaping AI-powered data science solutions, this training provides practical, career-relevant skills.

The fee for MIT xPRO’s Designing and Building AI Products and Services course is listed on the program page. The cost includes access to course materials, online learning resources, faculty guidance, and interactive exercises. Additional costs, if any, are outlined during enrollment.

Building AI-powered products requires understanding AI models, AI algorithms, and ethical considerations, along with strong user research and design workflows. The Designing and Building AI Products and Services training program from MIT xPRO supports participants through hands-on projects, applied frameworks, and guidance from industry experts, helping them move from concept to implementation.

Participants develop new skills in AI product design, UX design, user interfaces, information architecture, and address ethical concerns in AI. The course strengthens practical abilities such as creating prototypes, evaluating AI systems, and applying mental models to solve design challenges and repetitive tasks effectively.

Choosing the right AI product design course depends on your career stage and learning goals. MIT xPRO’s Designing and Building AI Products and Services online course offers structured course materials, hands-on projects, and a collaborative learning experience, making it suitable for professionals seeking applied, industry-aligned training.

This program from MIT xPRO combines applied learning, hands-on projects, and expert instruction to help participants successfully complete an AI product proposal. The course certificate emphasizes real-world applications, with an emphasis on ethical, human-centered AI design, supporting long-term career opportunities and professional growth.

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 the ID mentioned above.

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 to inquire if future program dates or the timeline for future offerings have been confirmed yet.

What makes this MIT xPRO AI course unique?

The MIT xPRO Designing and Building AI Products and Services program equips you with frameworks and strategies to elevate your product and solution design. The program provides market-ready skills with insights from world-renowned MIT faculty, making it one of the best AI courses online to enroll in.

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 email us if you need further clarification on program activities.

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

More than 300,000 learners across 200 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.

All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.

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 is the relationship between Emeritus and MIT xPRO?

Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.

Who is this program for?

This program is ideal for anyone aspiring to become an AI-driven product manager/leader, founders of AI startups, technology professionals, and UI/UX designers interested in building scalable AI products. However, prior knowledge of calculus, linear algebra, statistics, and probability is required, and basic Python experience is recommended.

How hands-on is the program?

The learning journey includes basic coding exercises, problem-solving workbooks, and a capstone project focused on creating an AI design process model. The immersive curriculum is ideal for those who are seeking practical AI training in product and solution design.

What kind of AI applications are covered in this AI product manager program?

The program explores the latest in AI technologies — from language processing and image generation to predictive modeling and human–computer interaction (HCI). Designed by world-renowned experts on artificial intelligence from MIT, the program is a great fit for professionals who are looking to learn about AI with an application-focused curriculum.

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 email us 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 24 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

Does this MIT xPRO artificial intelligence program provide an AI certification?

The Designing and Building AI Products and Services program is a certificate program, and it does not provide any AI certifications. However, earning a certificate from MIT xPRO in AI product and solution design demonstrates both strategic insight and technical proficiency. It will help display your ability to lead AI product initiatives and apply advanced AI concepts to solve business challenges.

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 the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

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

Yes! Please email us 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 us 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.

How can I obtain a W9 form?

Please connect with us via email for assistance.

Who will be collecting the payment for the program?

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

Are there any restrictions on the types of funding that can be used to pay for the program?

Program fees for Emeritus programs with MIT xPRO may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

What is the program refund and deferral policy?

For the program refund and deferral policy, please click the link here.