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Course Outline

1. Introduction to AI

  • What constitutes Artificial Intelligence?

  • Examples from daily life

  • The significance of AI

2. Understanding AI Mechanisms (Simplified)

  • The fundamental concept: data → model → outcome

  • Categories of learning:

    • Supervised learning

    • Unsupervised learning

    • Feedback-guided learning

3. AI Applications in Personal and Professional Contexts

  • Text generation

  • Image and document analysis

  • Voice and video recognition

4. Interacting with AI

  • Defining a prompt

  • Fundamental rules for crafting prompts

  • Practical examples

5. Ethics and Responsibility in AI

  • Risks and challenges

  • Strategies for data protection

6. Selecting and Utilising AI Tools

  • Examples of accessible tools

  • Evaluating safety and compliance

7. The Future of AI and Preparation Strategies

  • Emerging trends

  • Essential skills for the future

8. AI's Impact on Business

  • How AI assists in the workplace

  • Potential challenges posed by AI at work

  • Practical examples across various industries

This course is applicable to any type of AI system, including popular tools such as ChatGPT, Copilot, and others.

Requirements

Basic computer literacy

 7 Hours

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