Course Outline
1. Introduction to AI
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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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The core concept: data → model → result
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Learning methodologies:
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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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Defining a 'prompt'
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Fundamental guidelines for crafting prompts
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Practical use cases
5. Ethics and Responsibility in AI
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Risks and challenges
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Strategies for data protection
6. Selecting and Utilizing AI Tools
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Overview of accessible tools
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Evaluating safety and compliance
7. The Future of AI and Preparation Strategies
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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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Benefits for the workplace
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Potential workplace challenges
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Industry-specific case studies
This course is compatible with any AI system, including popular platforms like 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