Unit 1: Introduction to Artificial Intelligence

  • What is AI?
    • Definition of Artificial Intelligence
    • Examples of AI in everyday life (smartphones, voice assistants, etc.)
    • AI vs. Human Intelligence: similarities and differences
  • History of AI
    • Brief timeline of AI development
    • Important milestones and inventions in AI

Unit 2: Types of Artificial Intelligence

  • Narrow AI vs. General AI
    • What are Narrow AI and General AI?
    • Examples of Narrow AI in action (chess-playing computers, face recognition)
    • Potential future applications of General AI
  • Machine Learning and Deep Learning
    • Basic introduction to machine learning: teaching computers to learn
    • Introduction to deep learning: how AI can recognize images and speech

Unit 3: AI in Our Daily Lives

  • AI in Different Fields
    • Healthcare: AI in diagnosis and treatment
    • Education: Personalized learning with AI
    • Entertainment: AI in games, music, and movies
    • Smart cities: Traffic management, security, and energy efficiency
  • AI and Robotics
    • Differences between AI and robots
    • How AI is used in robotics

Unit 4: Understanding AI Technologies

  • Computer Vision
    • How computers see and recognize images
    • Introduction to facial recognition and object detection
  • Natural Language Processing (NLP)
    • How computers understand and generate human language
    • Simple activities: Chatbots and voice assistants (Siri, Alexa)
  • Speech Recognition
    • How computers convert spoken words into text
    • Examples: Google voice search, virtual assistants

Unit 5: Ethical Issues in AI

  • AI and Privacy
    • Data collection and privacy concerns
    • Importance of data security
  • Ethical Dilemmas
    • AI in decision-making: fairness and bias
    • Responsibility in AI development: who is accountable?
  • Future of AI
    • What advancements can we expect in AI?
    • Role of students in the future of AI

Unit 6: Simple AI Projects

  • Hands-on AI Activities
    • Create a basic chatbot
    • Use simple AI apps or tools (like Teachable Machine) to explore how machine learning works
    • Understanding and playing with AI-based games or platforms

Unit 7: AI Careers

  • Careers in AI
    • What skills are needed to work in AI?
    • Different job roles in AI: Data scientist, AI researcher, AI engineer, etc.

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