MIT free AI courses

 13 foundational AI courses, resources from MIT | Open Learning

• 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.
• 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.