Course Outline
1. Introduction to AI
-
What constitutes Artificial Intelligence?
-
Examples from daily life
-
The significance of AI
2. Understanding AI Mechanisms (Simplified)
-
The fundamental concept: data → model → outcome
-
Categories of learning:
-
Supervised learning
-
Unsupervised learning
-
Feedback-guided learning
-
3. AI Applications in Personal and Professional Contexts
-
Text generation
-
Image and document analysis
-
Voice and video recognition
4. Interacting with AI
-
Defining a prompt
-
Fundamental rules for crafting prompts
-
Practical examples
5. Ethics and Responsibility in AI
-
Risks and challenges
-
Strategies for data protection
6. Selecting and Utilising AI Tools
-
Examples of accessible tools
-
Evaluating safety and compliance
7. The Future of AI and Preparation Strategies
-
Emerging trends
-
Essential skills for the future
8. AI's Impact on Business
-
How AI assists in the workplace
-
Potential challenges posed by AI at work
-
Practical examples across various industries
This course is applicable 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