1. Mathematical basis: Artificial intelligence involves many mathematical concepts and methods, such as linear algebra, probability theory and mathematical statistics, calculus and so on. These mathematical knowledge provide a basis for understanding and implementing artificial intelligence algorithms.

2. Programming basics: Learning artificial intelligence requires mastering at least one programming language, such as Python, C++ or Java. Programming ability is the basis of realizing artificial intelligence algorithm and building intelligent system.

3. Data structures and algorithms: Artificial intelligence algorithms usually involve complex data structures and algorithms, such as trees, graphs, sorting and searching. Mastering these basic data structures and algorithms will help to improve the efficiency and performance of the algorithm.

4. Fundamentals of machine learning: Machine learning is an important branch of artificial intelligence, involving supervised learning, unsupervised learning, reinforcement learning and other methods. Learn the basic principles and common algorithms of machine learning, such as linear regression, logical regression, support vector machine, neural network, etc. , is the basic requirement to enter the field of artificial intelligence.

5. Foundation of deep learning: Deep learning is a sub-field of machine learning. Learn the basic principles and common models of deep learning, such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and Long-term Memory Network (LSTM). It will help to achieve better results in the field of image recognition and natural language processing.

6. Computer vision and natural language processing: These two fields are important application directions of artificial intelligence, involving the basic concepts and technologies of computer vision and natural language processing. Learning this knowledge is helpful to understand the application of artificial intelligence in practical problems.

7. Operating system and computer network: Understanding the basic knowledge of operating system and computer network is helpful to better understand the operation principle and optimization method of artificial intelligence system.

8. Ethics and law of artificial intelligence: With the development of artificial intelligence technology, ethical and legal issues have become increasingly prominent. Understanding the basic knowledge of artificial intelligence ethics and law is helpful to deal with these problems better.