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Start with a short conceptual introduction, then choose a deeper course only if you want more detail or hands-on practice. The official pages below support a useful set of learning options, but they do not establish 15 distinct resources that are all free. To avoid overstating cost or access, this guide identifies which resources are explicitly described as free and flags those whose pages do not establish that.

Choose a path before choosing a course

AI is a broad subject, not one single technique. The learning materials here cover related but distinct topics: machine learning, neural networks, generative AI, and large language models (LLMs). A good beginner path is to learn the basic vocabulary first, then decide whether you want a nontechnical overview, a technical course, or material for a particular audience.

  1. Get the overview: Learn what AI and generative AI mean and how they are used.
  2. Pick a direction: Explore machine learning concepts, LLMs, responsible use, or a particular application.
  3. Go deeper if useful: Choose a longer self-study course or a developer resource if you want technical detail.

Free resources with cost stated by the provider

Google: Introduction to Generative AI

Google’s Introduction to Generative AI is described as a beginner course offered at no charge. It covers what generative AI is, how it is used, and how it differs from traditional machine learning. It is a reasonable first stop if you want a focused explanation of generative AI rather than a broad technical course.

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Code.org: How AI Works

Code.org’s How AI Works is a free video lesson series. Its subjects include machine learning, neural networks, LLMs, ethics, and real-world applications. This is a useful option for a guided introduction across several concepts, especially if you prefer lessons over a self-study technical course.

Google: Machine Learning Crash Course

Google’s Machine Learning Crash Course is described by Google as a free, online, 15-hour self-study course. The provider says the updated course includes large language models and AutoML, alongside fundamental machine-learning concepts and principles. It includes videos, interactive visualizations, exercises, and quiz questions. The 15-hour estimate and course description are Google’s own; they are not independent measurements of how long every learner will take.

Useful learning pages whose full cost or access is not established

OpenAI Academy: AI fundamentals

OpenAI Academy’s AI fundamentals covers what AI is, how systems are built, trained, and used, applications, and responsible and safe use. The available page description does not establish that this material is free, so check its current access and cost before treating it as a no-cost course.

Google AI literacy

Google’s AI literacy materials are intended for educators, students, and families. The page includes a free educator series, but the audience and availability vary by item; it is not a single general-audience course, and the free label should not be extended to every resource on the page.

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Google for Developers: machine-learning resources

Google for Developers’ machine-learning resources is a catalog for people new to machine learning, generative AI, or red teaming. A catalog can point to different formats and levels, and the page description does not establish that every listed item is free. Check an individual resource’s cost, prerequisites, and access terms.

UK Government: AI skills for all

The UK Government’s AI skills for all collection gathers free courses for civil servants, including material on AI and machine learning. It is audience-limited, so confirm eligibility before relying on it as an option.

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How to decide what to study next

  • For a quick conceptual start: Begin with Google’s introductory generative AI course or Code.org’s video series.
  • For a longer technical self-study path: Consider Google’s Machine Learning Crash Course and its stated 15-hour commitment.
  • For safety and responsible-use context: OpenAI Academy’s fundamentals page lists responsible and safe use among its topics; verify current access first.
  • For educator, student, or family needs: Browse Google’s literacy materials and select an item for the intended audience.
  • For developer-oriented exploration: Use Google’s resource catalog as a starting point, then inspect each linked item separately.
  • If you are a UK civil servant: Check the government collection’s eligibility and course details.

Before enrolling or starting, check the individual page for current cost, regional access, prerequisites, format, and time commitment. Provider catalogs may combine courses, lessons, and other materials, so the label on the catalog page may not describe every item.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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