Designing and Building AI Products and Services

By MIT xPRO · Published by MIT Open Learning · 2026-05-07 · Language: English
Source: MIT Open Learning Format: Course materials Undergraduate / College
Business & Management Digital Business & IT Data Science, Analytics & Computer Technology AI Machine Learning Engineering Innovation & Entrepreneurship Product Innovation

"Designing and Building AI Products and Services" is a Course materials drawn from MIT Open Learning and catalogued under Computer Science for Undergraduate / College. From the source: Why AI — and Why Now?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… Slide Collection preserves the upstream link, the original creator credit and the licensing terms; download the file to use it in a classroom, study group or revision plan.

About this presentation

Why AI — and Why Now?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.Developed in collaboration with Emeritus.

How to study this deck

Computer-science slides are deceptively dense. Code snippets and diagrams collapse hours of design decisions into a few lines, so resist the urge to skim. Run the snippets locally, change one variable, and observe what breaks.

Undergraduate viewers should treat this as a scaffolding for deeper reading — the slides outline the territory, but the textbook chapters and primary sources remain the actual content.

Five questions to test your understanding

  1. What is the single most important claim on the first three slides, and what evidence is offered for it?
  2. Which slide could you remove without losing the argument? Which slide is load-bearing?
  3. Where does the deck switch from definitions to applications? Mark that transition.
  4. What would a student who already disagreed with the conclusion need to see to be convinced?
  5. Which two slides, if combined, would give the clearest one-slide summary of the whole deck?

Where this deck fits in the wider catalogue

Slide Collection classifies this presentation under Computer Science, alongside other openly-licensed material in the same subject. If you are preparing a unit at the Undergraduate / College level, the dedicated combined Computer Science · Undergraduate / College page is the fastest way to find adjacent decks with the same audience in mind.

Citation & reuse

If you reuse material from this deck in your own teaching or coursework, please cite the original source on the Internet Archive and check the license attached to the file before redistribution. Slide Collection links to the upstream source on every detail page so the original creator and licensing terms are always one click away.

Source: View original on MIT Open Learning →