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AI Explorer

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  1. Course overview

    Syllabus | AI Explorer
  2. Module 1: Understanding AI
    What is AI?
  3. Types of AI: Narrow, General, and Super AI
  4. AI in Games & Entertainment
  5. Data: The Fuel of AI
  6. Machine Learning 101
  7. Ethics in AI: Can Machines Be Fair?
  8. Module 2: AI & Data Science
    Collecting & Cleaning Data
  9. Data Visualization: Turning Numbers into Pictures
  10. Predicting the Future: AI & Predictions
  11. Natural Language Processing: Teaching AI to Talk
  12. AI in Social Media: Recommendations & Algorithms
  13. AI Art & Creativity: Can Machines Be Artists?
  14. AI in Robotics: Smarter Machines
  15. AI for Good: Solving Real-World Problems
  16. Building AI-Driven Games
  17. Data Ethics & Privacy: What Should AI Know?
  18. Module 3: Building Real AI Projects
    Intro to Python for AI
  19. Training AI Models with Python
  20. Building a Virtual Assistant
  21. AI in Games: Smarter NPCs
  22. AI-Driven Storytelling: Choose Your Own Adventure
  23. Simulating Real-World AI Challenges
  24. Design Thinking for AI
  25. Final Project: Build Your Own AI
  26. Module 4: Final Showcase & Beyond
    Preparing the Project Presentation
  27. Testing & Debugging
  28. AI Expo: Student Presentations
  29. Wrap-Up & What’s Next in AI?
  30. Optional Content & Enrichment
    AI & Space Exploration
  31. AI Music Maker
  32. AI & Climate Change
  33. Design a Virtual Pet
  34. AI in Medicine
  35. Deep Fakes & Reality
  36. AI in Sports
  37. Voice-Controlled Games
  38. Facial Recognition Systems
  39. AI Showcase for Friends & Family
AI Explorer Syllabus | AI Explorer
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Syllabus | AI Explorer

Cyber School 12/03/2025
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