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AI Learning Path

Some resources to get started learning about AI programming:
1. Introduction to Programming
2. Advanced Programming Concepts
3. Mathematics for AI
4. Introduction to Machine Learning
5. Deep Learning
6. Special Topics in AI
7. Human-Centered Design
8. Tools and Libraries
9. AI Ethics
Foundational Knowledge
  • Mathematics: Focus on algebra, calculus, and statistics. Khan Academy offers comprehensive courses in these areas:
  • Computer Science Basics: Learn basic programming concepts using Python.
    • Codecademy's Python Course (free introductory material)
1. Introductory AI Concepts
  • Introduction to AI: Explore basic AI concepts and applications.
    • Elements of AI, a free online course created by Reaktor and the University of Helsinki.
  • Problem-Solving: Learn about simple AI techniques.
    • MIT OpenCourseWare Introduction to Computational Thinking and Data Science
2. Intermediate AI Studies
3. Advanced Topics
4. Practical Experience
  • Projects and Competitions: Engage in real-world AI problems.
    • Kaggle - Participate in data science competitions.
  • Internships: Look for opportunities to gain real-world experience.
5. Continued Learning and Specialization
  • Specialized Courses: Explore deeper into specialized AI fields.
  • Online Resources: Engage with more advanced materials as skills progress.
    • MIT OpenCourseWare for more advanced courses.
6. Recommended Resources
  • Books: "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell, "Python Machine Learning" by Sebastian Raschka.
  • Communities and Forums: Engage with peers and experts online.
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