There are various courses available on artificial intelligence (AI) that cater to different levels of expertise and cover a wide range of topics within the field. Here are some details about AI courses, including online platforms, universities, and specializations:


Coursera: "Machine Learning" by Andrew Ng

Platform: Coursera
Instructor: Andrew Ng
Description: This is a popular introductory course on machine learning. It covers basic concepts, algorithms, and practical applications. The course includes programming assignments in Octave/MATLAB.


edX: "Introduction to Artificial Intelligence (AI)" by UC Berkeley

Platform: edX
Instructor: Pieter Abbeel and Michael Jordan
Description: Offered by the University of California, Berkeley, this course provides a broad introduction to AI, covering both traditional topics and the latest advancements. It includes hands-on programming assignments.


Udacity: "AI for Everyone"

Platform: Udacity
Instructor: Sebastian Thrun
Description: Aimed at non-technical audiences, this course provides a broad understanding of AI and its applications. It covers key concepts without delving into complex technical details.


Stanford University: "CS231n: Convolutional Neural Networks for Visual Recognition"

Platform: Stanford Online
Instructor: Fei-Fei Li and Andrej Karpathy
Description: This course focuses on deep learning for computer vision. It covers convolutional neural networks (CNNs), image classification, object detection, and more.


MIT OpenCourseWare: "Introduction to Deep Learning"

Platform: MIT OpenCourseWare
Instructor: Alexander Amini and Ava Soleimany
Description: This course provides an introduction to deep learning, covering neural networks, backpropagation, and various architectures. It includes both theoretical concepts and practical applications.


Deep Learning Specialization on Coursera by Andrew Ng

Platform: Coursera
Instructor: Andrew Ng
Description: This specialization consists of five courses that cover deep learning concepts, including neural networks, structuring machine learning projects, sequence models, and more.


Fast.ai: "Practical Deep Learning for Coders"

Platform: Fast.ai
Instructor: Jeremy Howard and Sylvain Gugger
Description: Fast.ai offers a practical, hands-on approach to deep learning. The course focuses on getting students to build and understand models quickly.


Remember to check the prerequisites for each course and choose one that aligns with your current skill level and goals. Additionally, new courses and specializations are frequently added to various platforms, so it's a good idea to explore the latest offerings.