Course Outline
1. AI Fundamentals
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Defining Artificial Intelligence
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Examples from everyday life
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The Importance of AI
2. Understanding AI Mechanics (Simplified)
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Core concept: data → model → result
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Learning methods:
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Supervised learning
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Unsupervised learning
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Feedback-guided learning
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3. AI Applications in Personal and Professional Contexts
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Text generation
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Image and document analysis
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Voice and video recognition
4. Interacting with AI
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Understanding prompts
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Guidelines for effective prompt creation
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Practical demonstrations
5. Ethics and Responsibility in AI Usage
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Potential risks and challenges
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Strategies for data protection
6. Selecting and Utilizing AI Tools
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Examples of accessible tools
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Assessing safety and compliance
7. The Future of AI and Preparedness
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Emerging trends
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Essential skills for the future
8. AI's Impact on Business
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Ways AI can assist in the workplace
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Potential challenges posed by AI at work
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Case studies from various industries
This course is applicable to any type of AI system, including popular tools such as ChatGPT, Copilot, and others.
Requirements
Fundamental computer literacy
Testimonials (2)
the trainer, the amount and the quality of information
ALINA UNGURU
Course - Introduction to Artificial Intelligence for Non-technical users
Hands on examples