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Course Outline

1. AI Fundamentals

  • Defining Artificial Intelligence

  • AI in everyday scenarios

  • The importance of AI in today's context
     

2. AI Mechanics (Simplified)

  • Core concept: data → model → outcome

  • Categories of learning:

    • Supervised learning

    • Unsupervised learning

    • Feedback-based learning
       

3. AI Use Cases in Personal and Professional Contexts

  • Generating text

  • Analyzing images and documents

  • Recognizing voice and video
     

4. Interacting with AI

  • Understanding prompts

  • Best practices for crafting prompts

  • Hands-on examples
     

5. Ethical Considerations and Responsibility

  • Potential risks and challenges

  • Strategies for data protection
     

6. Selecting and Utilizing AI Tools

  • Accessible tool examples

  • Verifying safety and compliance standards
     

7. The Future of AI and Preparation Strategies

  • Emerging industry trends

  • Essential future skills
     

8. AI's Impact on Business

  • Enhancing workplace productivity

  • Navigating workplace challenges

  • Industry-specific practical examples

This course is versatile and applicable to any AI system, including popular platforms such as ChatGPT, Copilot, and others.

Requirements

Fundamental computer skills

 7 Hours

Number of participants


Price per participant

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