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Course Outline

1. Introduction to AI

  • Defining Artificial Intelligence

  • Examples from everyday life

  • The importance of AI

2. Understanding AI Mechanics (Simplified)

  • The core concept: data → model → result

  • Learning methodologies:

    • 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 guidelines for crafting prompts

  • Practical use cases

5. Ethics and Responsibility in AI

  • Risks and challenges

  • Strategies for data protection

6. Selecting and Utilizing AI Tools

  • Overview 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

  • Benefits for the workplace

  • Potential workplace challenges

  • Industry-specific case studies

This course is compatible with any AI system, including popular platforms like ChatGPT, Copilot, and others.

Requirements

Fundamental computer literacy

 7 Hours

Number of participants


Price per participant

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