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Course Outline

1. Introduction to AI

  • Defining Artificial Intelligence

  • Examples from everyday life

  • The importance of AI

2. Understanding AI Mechanisms (Simplified)

  • The fundamental workflow: data → model → result

  • Types of machine learning:

    • Supervised learning

    • Unsupervised learning

    • Feedback-driven learning

3. AI 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 effective prompts

  • Practical demonstrations

5. Ethical Considerations 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

  • Opportunities AI brings to the workplace

  • Potential challenges AI presents at work

  • Real-world examples from various industries

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

Requirements

Basic computer literacy

 7 Hours

Number of participants


Price per participant

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