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Course Outline

1. AI Fundamentals

  • Defining Artificial Intelligence

  • Examples from daily life

  • The importance of AI
     

2. Understanding AI Mechanics (Simplified)

  • Core concept: data → model → result

  • Learning methodologies:

    • Supervised learning

    • Unsupervised learning

    • Feedback-based learning
       

3. AI in Personal and Professional Contexts

  • Text generation capabilities

  • Image and document analysis

  • Voice and video recognition
     

4. Interacting with AI

  • Understanding prompts

  • Basic principles for crafting prompts

  • Practical case studies
     

5. Ethical Considerations and Responsibility in AI

  • Potential risks and challenges

  • Strategies for data protection
     

6. Selecting and Utilizing AI Tools

  • Overview of accessible tools

  • Verifying safety and compliance standards
     

7. The Future Landscape of AI and Preparation Strategies

  • Emerging trends

  • Essential skills for the future
     

8. AI's Influence on Business

  • Opportunities AI creates for work

  • Challenges AI introduces to the workplace

  • Industry-specific case examples

This course applies to all types of AI systems, including widely used tools such as ChatGPT, Copilot, and others.

Requirements

Fundamental computer literacy

 7 Hours

Number of participants


Price per participant

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