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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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