Course Outline
1. AI Fundamentals
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Defining Artificial Intelligence
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AI in everyday scenarios
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The importance of AI in today's context
2. AI Mechanics (Simplified)
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Core concept: data → model → outcome
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Categories of learning:
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Supervised learning
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Unsupervised learning
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Feedback-based learning
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3. AI Use Cases in Personal and Professional Contexts
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Generating text
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Analyzing images and documents
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Recognizing voice and video
4. Interacting with AI
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Understanding prompts
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Best practices for crafting prompts
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Hands-on examples
5. Ethical Considerations and Responsibility
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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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Accessible tool examples
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Verifying safety and compliance standards
7. The Future of AI and Preparation Strategies
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Emerging industry trends
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Essential future skills
8. AI's Impact on Business
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Enhancing workplace productivity
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Navigating workplace challenges
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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
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