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 Mechanisms (Simplified)
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The fundamental workflow: data → model → result
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Types of machine learning:
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Supervised learning
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Unsupervised learning
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Feedback-driven learning
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3. AI 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 effective prompts
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Practical demonstrations
5. Ethical Considerations 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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Opportunities AI brings to the workplace
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Potential challenges AI presents at work
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Real-world examples from various industries
This course applies to any type of AI system, including popular tools such as ChatGPT, Copilot, and others.
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