Courses to learn A.I. from scratch

 Here are some courses that can help you start learning about artificial intelligence (A.I.) from scratch:

Introduction to Artificial Intelligence - This course provides a comprehensive overview of A.I., covering the fundamental concepts, theories, and techniques of A.I.

Machine Learning - This course focuses on the study of algorithms that allow computers to learn from data and improve their performance over time.

Deep Learning - This course covers advanced topics in A.I., including neural networks, convolutional neural networks, recurrent neural networks, and more.

Natural Language Processing - This course focuses on the use of A.I. for processing and analyzing human language, including topics such as sentiment analysis, named entity recognition, and machine translation.

Robotics - This course covers the use of A.I. for controlling robots, including topics such as perception, planning, and control.

Computer Vision - This course focuses on the use of A.I. for processing and understanding visual information, including topics such as object recognition, image classification, and scene analysis.

Reinforcement Learning - This course covers a specific type of machine learning where an agent learns to make decisions by taking actions in an environment and receiving rewards or penalties.

Bayesian Methods - This course covers the use of probability and statistics for A.I., including topics such as Bayesian networks and Markov Chain Monte Carlo methods.

These courses can be found on various online platforms such as Coursera, Udemy, and edX, among others. It's important to note that A.I. is a vast and rapidly evolving field, and these courses are just a starting point. To become an expert in A.I., it's recommended to keep learning and practicing regularly.