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Free artificial intelligence and machine learning courses

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Free instruction in artificial intelligence and machine learning is accessible through digital repositories and open-source programs developed by academic institutions. The MIT Learn platform hosts thousands of non-degree resources, including the Universal AI curriculum that explores fundamental concepts and practical applications. Additionally, open-source classroom materials like the How to Train Your Robot curriculum provide free foundational training in machine learning and ethics.

Key facts

  • The digital learning website MIT Learn offers access to over 12,700 educational resources across departments, with 98 percent of its catalog available for free [1][2].
  • MIT Open Learning introduced Universal AI, a curriculum teaching foundational principles and practical applications of artificial intelligence to students and professionals [3][4].
  • MIT Learn features an artificial intelligence tool called AskTIM that provides personalized course recommendations and assists learners with syllabus details, concept reinforcement, and problem sets [5][6][7].
  • An open-source middle school curriculum named How to Train Your Robot was created by researchers at the MIT Media Lab alongside the nonprofit organization i2 Learning [8][9][10].
  • The How to Train Your Robot curriculum provides more than 20 hours of instructional material focusing on artificial intelligence design, ethical implications, and machine learning problem-solving [11][12][13].
  • Student projects within the middle school curriculum applied machine learning to practical challenges, including assistive robotics and sign language recognition designed to reduce algorithmic bias [13][14][15].

The MIT Learn Educational Platform

In 2001, the Massachusetts Institute of Technology became the first higher education institution to offer educational materials for free to anyone in the world [16]. Continuing this institutional initiative, MIT Open Learning developed MIT Learn, a dynamic website enabled by artificial intelligence designed to serve as an access point for thousands of non-degree educational opportunities across the Institute's varied learning platforms [1][17]. The site seamlessly connects existing Institute platforms in a unified space, and approximately 98 percent of the available content is free [1][17].

Learners accessing the platform can explore more than 12,700 educational assets, including introductory and advanced courses, courseware, audio podcasts, and videos spanning departments throughout the Institute [2]. A sophisticated discovery capability allows users to navigate topics without prior understanding of MIT's organizational hierarchy or academic department names [18]. MIT Learn accommodates learners across different stages of life, highlighting supplemental study resources for middle school, high school, and college students, career upskilling materials for early-career professionals, reskilling options for individuals considering career transitions, and tools for educators [19][20]. Registered users receive tailored recommendations, track specific subjects, compile and curate resource collections, and get notifications regarding newly added content [21].

The creation of MIT Learn was led by MIT Open Learning under the guidance of former provost Cynthia Barnhart, in collaboration with MIT Professional Education and MIT Sloan Executive Education [22].

Universal AI and Intelligent Guidance Systems

To help students and professionals build technical proficiency, MIT Open Learning established Universal AI, an online learning experience that instructs participants in both foundational concepts and real-world implementations of artificial intelligence [3]. Open Learning introduced Universal AI through a pilot program that serves as the initial offering within its Universal Learning series, a collection of curricula that applies a cross-disciplinary approach to addressing complex problems [4][23]. Open Learning aspires to engage millions of learners through this educational experience [3].

To guide participants through these offerings, MIT Learn incorporates an artificial intelligence recommendation tool known as AskTIM, or Ask Tim, which helps users identify learning options that align with personal and career objectives [1][5]. Users can ask the tool for summaries detailing course structures, topics, and expectations before choosing to enroll [6]. Within selected educational offerings, AskTIM operates as an interactive tutor and teaching assistant that summarizes lectures, reinforces core concepts, and assists learners with problem sets and quizzes without revealing direct answers [1][7].

Open-Source Classroom Curricula and Machine Learning Projects

Free instructional content addressing artificial intelligence and machine learning is also available through open-source curricula developed for younger students. The Personal Robots Group at the MIT Media Lab, which previously initiated a program to teach artificial intelligence concepts to preschoolers, expanded its efforts to construct an open-source curriculum tailored for middle school students [11][24]. Led by Cynthia Breazeal and Randi Williams in partnership with the nonprofit i2 Learning, the team produced the How to Train Your Robot curriculum [8][9][10].

The curriculum integrates the research of Blakeley Hoffman Payne, whose work centers on artificial intelligence ethics and methods for teaching children to design, use, and evaluate AI systems [25]. How to Train Your Robot was initially tested at an i2 summer camp in Boston, piloted with educators in Somerville, Massachusetts, and subsequently implemented during Massachusetts STEM Week [26][10][27]. To deliver the curriculum, local teachers completed two days of professional development training, preparing them to teach more than 20 class hours of artificial intelligence material across six classrooms in three schools [12][28].

Throughout the coursework, middle school students take part in discussions and creative exercises, designing robot companions and using machine learning to address observed real-world problems [13]. The curriculum prompts students to consider ethical implications and potential bias prior to building systems [11][14]. For example, one project trained a machine learning algorithm for sign language recognition using examples from participants across diverse skin tones and ages to prevent algorithmic bias, while another student team developed a library robot to assist individuals with mobility challenges in finding and retrieving books [14][15].

Sources

  • 2024-2025 Open Learning Impact Report impact-openlearning.mit.edu

    • [1]

      MIT Learn is a new dynamic AI-enabled website, spearheaded by Open Learning, that opens the door to thousands of non-degree learning opportunities from MIT — making it easier for people to discover the courses and resources available on MIT’s various learning platforms. 98% of the content is free.

    • [2]

      MIT Learn enables learners to access more than 12,700 educational resources — including introductory and advanced courses, courseware, videos, podcasts, and more — from departments across the Institute.

    • [3]

      To prepare AI-ready students and professionals, we developed a new online learning experience called Universal AI, which teaches the foundations and real-world applications of artificial intelligence and aspires to engage millions of learners.

    • [4]

      Open Learning also recently launched a Universal AI pilot program. It’s the first offering in a new collection of curricula from Open Learning called Universal Learning

    • [5]

      An AI-powered recommendation feature called “Ask Tim” complements the site’s traditional search and browsing tools, helping learners quickly find courses and resources aligned with their personal and professional goals.

    • [6]

      Learners can also prompt “Ask Tim” for a summary of a course’s structure, topics, and expectations, leading to more-informed decisions before enrolling.

    • [7]

      In select offerings, AskTIM summarizes lectures, reinforces key concepts, and guides learners through homework and quizzes without giving away the answers.

    • [16]

      In 2001, MIT became the first higher education institution to provide educational resources for free to anyone in the world.

    • [17]

      MIT Learn is designed to seamlessly connect the existing Institute’s learning platforms in one place.

    • [18]

      With its sophisticated search, browse, and discovery capability, MIT Learn allows learners to explore topics without having to understand MIT’s organizational structure or know the names of departments and programs.

    • [19]

      MIT Learn was designed to account for a learner’s evolving needs throughout their learning journey. It highlights supplemental study materials for middle schoolers, high schoolers, and college students, upskilling opportunities for early-career professionals

    • [20]

      reskilling programs for those considering a career shift, and resources for educators.

    • [21]

      Learners who choose to create an account on MIT Learn receive personalized course recommendations and can create and curate lists of educational resources, follow their specific areas of interest, and receive notifications when new MIT content is available.

    • [22]

      MIT Learn was spearheaded by MIT Open Learning, which aims to transform teaching and learning on and off the Institute’s campus. MIT Learn was developed with the direction of former provost Cynthia Barnhart, and in cooperation with MIT Sloan Executive Education and MIT Professional Education.

    • [23]

      takes a unique and cross-disciplinary approach to problems.

  • Bringing artificial intelligence and MIT to middle school classrooms news.mit.edu

    • [8]

      During Mass STEM Week in October, middle schools across the commonwealth replaced their regular curriculum with an immersive week of hands-on learning led by a team including Cynthia Breazeal, associate professor of media arts and sciences at MIT;

    • [9]

      Randi Williams ’18, graduate research assistant in the Personal Robots Group at the MIT Media Lab; and the nonprofit organization i2 Learning.

    • [10]

      This curriculum, How to Train Your Robot, was first piloted at an i2 summer camp in Boston before being presented to teachers from local schools during Mass STEM Week.

    • [11]

      An open-source curriculum designed for middle school students, designed by an MIT team, aims to help them understand how artificial intelligence systems are designed, how they can be used to influence the public — and also how to use them to be successful in jobs of the future.

    • [12]

      The teachers, many of whom had little familiarity with STEM subjects, also participated in two days of professional development training to prepare them to deliver more than 20 class hours of AI content to their students.

    • [13]

      Students participated in discussions and creative activities, designing robot companions and using machine learning to solve real-world problems they have observed.

    • [14]

      For example, for one project that focused on sign language, the student trained her algorithm for understanding sign language around students of a wide range of skin tones, and incorporated adults, too — considering potential algorithmic bias to inform the design of the system.

    • [15]

      Another group of students built a “library robot,” designed to help find and retrieve a book for people with mobility challenges.

    • [24]

      Three years ago, the Personal Robots Group began a program around teaching AI concepts to preschoolers. This effort then broadened into planning learning experiences for more children, and the group developed a curriculum geared toward middle school students.

    • [25]

      The AI curriculum incorporates the work of Blakeley Hoffman Payne, a graduate research assistant in the Personal Robots Group, whose research focuses on the ethics of artificial intelligence and how to teach children to design, use, and think about AI.

    • [26]

      The open-source educational material, designed by an MIT team and piloted at this year’s Massachusetts STEM Week this past fall, teaches students how AI systems are designed, how they can be used to influence the public — and also how to use them to be successful in jobs of the future.

    • [27]

      Last spring, an AI curriculum was shared with teachers and piloted in Somerville, Massachusetts, to determine which activities resonated the most in the classrooms.

    • [28]

      The curriculum ran in three schools across six classrooms.