Course Content
AI Driving Licence
Welcome to the training "AI Driving Licence" – your guide to the working life of the future!
0/1
Introduction
Part A – The Basics and Responsibility
Here we lay the theoretical foundation. We explain in detail what generative AI actually is and how it can elevate your productivity. We also look at the indispensable traffic rules – from information security and copyright to the EU AI Act – so that you can navigate safely and legally.
0/9
Introduction to Generative AI
Let AI Elevate Your Working Day
Navigating Safely in the AI Landscape
The Human at the Helm
The EU AI Act
AI-Driven Security Threats (Social Engineering)
Copyright and Intellectual Property in the AI Age
Sustainability and Environmental Impact
Summary of Part A
Part B – AI in Practice
In this part, we open the bonnet. We explain how the technology works in an understandable way, compare the major AI assistants, and teach you how to mentally and practically implement AI in your daily processes, with your critical thinking as a compass.
0/7
Understanding the Technology
Getting Started with Generative AI
Your New Digital Colleague
Getting Started with Your AI Assistant
From Words to Action
Critical Thinking
Summary of Part B
Part C – Prompts
Here we put our hands on the steering wheel. We dive deep into the craft of communicating with the machine, so-called ”prompting”. You will receive proven frameworks for text, methods for analysing complex documents multimodally, and techniques for directing fantastic AI images.
0/7
Welcome to the Prompt Guide
6 Steps to the Perfect Prompt
Creating Images with AI
Working Multimodally (Beyond Text and Image)
Next-Level Prompting (Contextual Examples and Iteration)
Summary of Part C
Assessment & Continuous Professional Development
Protected: AI Driving Licence

Summary of Part B – AI in Practice

Here is a short repetition and summary of Part B

  • Understanding the Technology: Generative AI is not a search engine, but an advanced probability engine built upon Large Language Models (LLMs) and neural networks. It does not retrieve ready-made answers, but rather generates text uniquely by calculating the most statistically probable next word based on patterns.

  • Getting Started: Begin by identifying “friction” in your working day. The AI excels at structuring disorganised meeting notes, adjusting the tone of emails, translating into professional business English, and acting as a critical colleague to stress-test your ideas.

  • Your Digital Colleague: You should treat the AI as a highly educated, eager intern who lacks judgement and workplace context. To get good results, you must provide clear instructions and engage in an iterative dialogue where you constantly refine and adjust the output.

  • Choosing an Assistant: The three major tools are ChatGPT (versatile and human-like), Microsoft Copilot (secure and deeply integrated into the Microsoft ecosystem), and Google Gemini (multimodal and integrated into Google Workspace).

  • Implementing AI at Work: It is crucial to break the “AI silence” and actively share successful prompts within the team. Identify administrative bottlenecks, share best practices, and appoint “AI ambassadors” to help colleagues overcome the learning curve.

  • Critical Thinking: As AI takes over the production of material, your role shifts to being an editor and fact-checker. You must always remember to “trust, but verify” because AI can confidently fabricate facts (known as “hallucinations”) and reproduce built-in societal biases and stereotypes.

Previous
Next