PRACTICAL USE OF AI TOOLS
CURRICULUM

1. Introduction to AI

• Expert Systems

• Chatbots

• Large Language Models (LLMs)

• Training Data

• Data Centers and Energy Consumption

• ChatGPT

• Copilot

• Gemini

• Grok

• Claude Code

2. Prompting Fundamentals

• What Makes a Good Prompt

• Clarity

• Context

• Precision

3. Search and Research

• Information Gathering

• Reliability Assessment

• Fact Checking

• Cross-Checking Sources

4. Creating Structured Content

• Tables

• Code

• Formatted Text

• Reusable Content

5. Understanding Content Generation

• How AI Works

• Context Awareness

• Limitations

• The Importance of Conversation History

6. Comparison Tasks

7. Reasoning and Decision Support

8. Image and Document Analysis

• Images

• Photos

• Documents

• Attached Files

9. Emails and Messages

• Writing Assistance

• Interpretation

• Communication Support

10. Document Creation

• Notes

• Learning Materials

• Reports

• Summaries

11. Translation

12. AI as a Learning Assistant

13. Personalization and Collaboration

• Communication Styles

• Learning Styles

• Expert Personas

• Alternative Perspectives

14. Voice-Based AI Features

15. Identifying AI-Generated Content

16. Risks and Security

• Data Leakage

• Manipulation

• Filter Bubbles

• AI-Based Scams

• Disinformation

• Data Theft

• Financial Fraud