How AI Models Think

How AI Models Think

An in-depth course that helps teachers understand how generative AI models like ChatGPT, Claude, and Gemini actually work. By understanding how AI thinks, you gain tools to create better prompts, understand AI limitations, and use these technologies more effectively in teaching. The course covers everything from basic AI concepts to advanced prompting techniques, and helps you develop a deeper understanding of how to integrate AI into your teaching in meaningful ways.

Moment i denna kurs

1
Fundamentals of AI Thinking

Learn the fundamental principles of how AI models process information.

2
Tokens: AI Language Building Blocks

Understand what tokens are, how they are formed, and why they are central to AI models.

3
Context Window: Why the Model Forgets

Discover how many tokens the AI model can handle simultaneously and why it can lose track of earlier instructions.

4
Zero-Shot Prompting: When AI Understands Without Examples

Learn how to formulate prompts where the model handles the task without you showing examples.

5
Few-Shot Prompting: Teaching the Model Through Examples

Discover how you improve AI responses by giving a few examples in the prompt.

6
Prompt Technique: It Is About Clear Instructions

Learn the most important principles for writing effective and clear prompts.

7
Temperature and Randomness: Why AI Sometimes Deviates

Learn how temperature and other parameters affect AI responses.

8
Hallucinations: Why AI Sometimes Makes Things Up

Understand why AI models can generate incorrect information and how you handle it.

9
From Prompt to Practice: Design AI-Supported Tasks

Bring together what you have learned into concrete lesson activities with AI support.