What courses do you need to learn for artificial intelligence?

The disciplines required to become an AI researcher or engineer include: computer science fundamentals, mathematics, machine learning, AI techniques, domain-specific and soft skills.

Artificial Intelligence Learning Course

Artificial intelligence (AI) is a rapidly developing field that has made great achievements in recent years. made significant progress. In order to become an AI researcher or engineer, an individual needs to master a wide range of knowledge and skills. The following are common subjects in artificial intelligence learning courses:

1. Basics of Computer Science

• Data Structures and Algorithms
• Operating Systems
• Computer Network
• Database
• Software Engineering

2. Mathematics

• Linear Algebra
• Calculus
• Probability Theory and Statistics
• Optimization Algorithm

3. Machine Learning

• Supervised learning
• Unsupervised learning
• Model selection and evaluation
• Deep learning

4. Artificial Intelligent Technology

• Natural Language Processing
• Computational Vision
• Robotics Technology
• Knowledge Representation and Reasoning

5. Specific fields

• Depending on personal interests and goals, you may also need to learn knowledge in specific fields, for example:

  • bioinformatics
  • fintech
  • healthcare

## 6. Soft skills

• In addition to technical skills, AI researchers and engineers also need to possess the following soft skills:
  Problem solving skills
  • Communication skills
  • Critical Thinking
  • Teamwork Skills

These courses are the foundation of artificial intelligence learning, providing a comprehensive education ranging from computer science principles to domain-specific expertise . By mastering these disciplines, individuals can build a solid foundation for success in the field of AI.

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