13 foundational AI courses, resources from MIT
Begin your learning journey into artificial intelligence with MIT Open Learning.
As artificial intelligence (AI) reshapes industries, powers innovation, and redefines how we live and work, understanding its core principles is increasingly important. We curated a list of 13 foundational AI courses and resources from MIT Open Learning — most of them free — to help you grasp the basics of AI, machine learning, machine vision, and algorithms.
- AI 101: Get an introduction to artificial intelligence that’s designed for those with little to no background in the subject.
- Introduction to Algorithms: Explore mathematical modeling of computational problems, common algorithms, algorithmic paradigms, and data structures used to solve these problems.
- Artificial Intelligence: Examine the power of AI with MIT’s foundational course about the basic knowledge representation, problem solving, and learning methods of artificial intelligence.
- AI and Algorithms: Get an introduction to principles, algorithms, and applications of machine learning.
- Introduction to Computational Thinking and Data Science: Learn how to use computation to understand real-world phenomena.
- Introduction to Machine Learning: Get to know the principles, algorithms, and applications of machine learning.
- Machine Learning with Python: From Linear Models to Deep Learning: Get an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.
- Machine Vision: Get acquainted with the process of generating a symbolic description of the environment from an image.
- Ethics of AI Bias: Dive into the biased side of artificial intelligence.
- Ethics for Engineers: Artificial Intelligence: Explore the ethical issues involved in the latest developments of computer science.
- Generative Artificial Intelligence in K-12 Education: Grasp the foundations of generative AI technology and the new opportunities it enables for K-12 education.
- Foundation Models and Generative AI: Discover the secret sauce behind the recent breakthroughs within AI — foundation models and generative AI.
- Driving Innovation with Generative AI: Get the knowledge and skills necessary to navigate the intricate world of generative AI in this six-week course, which leverages industry case studies, hands-on work with generative AI tools, and the latest thinking from 12 faculty members from MIT’s Computer Science and Artificial Intelligence Lab.
Want to take a deeper dive into artificial intelligence? Here’s a comprehensive list of online courses and resources from MIT Open Learning.
These courses and materials are available through MIT OpenCourseWare, MITx, and MIT xPRO, which are part of MIT Open Learning. MIT OpenCourseWare offers free, online, open educational resources from more than 2,500 courses that span the MIT undergraduate and graduate curriculum. MITx offers hundreds of high-quality massive open online courses adapted from the MIT classroom for learners worldwide. MIT xPRO offers paid courses designed using cutting-edge research in the neuroscience of learning; its online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere.
