Course Curriculum

Course Overview Explorer

1.1 | What is Artificial Intelligence - and what is Generative AI?

1.2 | Capabilities & Limitations: Where AI stands today

1.3 | And Action: Try out AI for yourself

1.4 | Warm-up: 4 AI hacks for your daily workflow

1.5 | Reflection: How is AI changing our work?

2.1 | Understanding terms

2.2 | Overview: two types of GenAI

2.3 | Language models vs. chatbots: The differences

3.1 | Understanding prompts: Definition and meaning

4.1. | Data privacy basics: What belongs in a prompt and what doesn't?

4.2. | Quality assurance: Dealing with AI hallucinations

4.3. | EU AI Act at a glance: What does it mean for me as a user?

5.1 | The AI paradox - conscious use instead of the hamster wheel

5.2 | Assistants in action: Your AI use cases

5.3 | Final quiz

Welcome to the Navigator

1.1 | AI as an intelligent partner: Collaboration instead of delegation

1.2 | Strategies against blind AI application and the efficiency hamster wheel

2.1 | Prompt Engineering: 6 strategies for better results

2.2 | Finding your language: How to adapt prompts to your style

3.1. | What is an LLM?

3.2 | Which LLM fits the task? - Deliberate instead of random choices

3.3 | 5 current findings on how LLMs work

4.1 | Data protection and copyright

4.2 | Quality control: How to check and improve AI results

4.3 | AI use and the EU AI Act - In-depth for practical application

5.1 | From pre-prompted to individual assistants

5.2 | Custom assistants - formulating initial prototypes

6.1 | Image generation for non-designers: Quickly create visual content

6.2 | Our personal experience: AI Workflow

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