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Course Outline

1. Introduction to AI

  • Defining Artificial Intelligence

  • Examples of AI in everyday life

  • The importance of AI
     

2. Understanding AI Mechanics (Simplified)

  • Core concept: data → model → result

  • Types of learning methods:

    • 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 Systems

  • Understanding prompts

  • Basic principles for crafting effective prompts

  • Practical case studies
     

5. Ethics and Responsibility in AI

  • Potential risks and challenges

  • Strategies for data protection
     

6. Selecting and Utilizing AI Tools

  • Overview of accessible AI tools

  • Evaluating safety and compliance standards
     

7. The Future of AI and Preparation Strategies

  • Current and emerging trends

  • Essential skills for future readiness
     

8. AI's Impact on Business

  • Opportunities AI brings to the workplace

  • Challenges AI introduces to professional environments

  • Industry-specific practical examples

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

Requirements

Foundational computer literacy

 7 Hours

Number of participants


Price per participant

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