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 in today’s context
2. How AI Works (Simplified Explanation)
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Core concept: data → model → result
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Types of learning approaches:
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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 capabilities
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Analysis of images and documents
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Voice and video recognition technologies
4. Interacting with AI Effectively
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Understanding prompts
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Basic guidelines for crafting effective prompts
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Real-world practical examples
5. Ethics and Responsibility in AI
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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 user-friendly AI tools
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Assessing safety and compliance standards
7. The Future of AI and Preparation Strategies
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Emerging industry trends
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Essential skills for future roles
8. AI’s Impact on Business
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Ways AI can enhance workplace efficiency
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Potential challenges AI may introduce to work environments
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Practical case studies from various industries
This course is relevant to any type of AI system, including popular platforms such as ChatGPT, Copilot, and similar tools.
Requirements
Basic 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