Machine Learning by Andrew Ng (Coursera): This classic course from Stanford University professor Andrew Ng is a great introduction to the fundamentals of machine learning, which is the foundation of most AI applications. The course covers topics like linear regression, logistic regression, neural networks, and more
Introduction to Artificial Intelligence (Udacity): This beginner-friendly course from Udacity provides a comprehensive overview of AI concepts and techniques. You'll learn about search algorithms, game playing agents, natural language processing, and more. The course also includes hands-on projects to help you apply your learning
Introduction to Deep Learning with PyTorch (Coursera): If you're interested in learning about deep learning, which is a powerful subset of machine learning, this course is a great option. You'll learn about the basics of deep learning, how to build and train deep learning models, and how to apply them to real-world problems
TensorFlow Fundamentals (TensorFlow.org): TensorFlow is a popular open-source library for machine learning and deep learning. This free course from TensorFlow.org is a great way to learn how to use TensorFlow to build and train your own AI models.
These are just some of the many great AI courses available for beginners. The best course for you will depend on your learning style, interests and goal
Start with the basics. Don't try to jump into advanced topics before you have a solid understanding of the fundamentals.
Get hands-on experience. The best way to learn AI is to do it yourself. Find projects and exercises that you can work on to put your learning into practice.
Join a community. There are many online and offline communities for AI learners. These communities can be a great source of support and inspiration.
Don't give up! Learning AI can be challenging, but it's also rewarding. Don't get discouraged if you don't understand something right away. Just keep practicing and you'll eventually get it.