Starting with AI
From your first question to an answer you can verify.
0 of 7 completedAI course · English
Learn AI.
By doing it.
Create your first assignment, try them with Ende and discover what a better prompt changes. The explanation is provided when you need it.
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I am Aldo.I will help you get started.
1 week free. No account needed.Your pace. In-depth study of your choice.
Try 1 free for one week now and practise for a few minutes daily. Your free week starts with your first lesson.
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Would you use this AI text?
No theory first. Place the text next to the source and make a choice.
Fictitious source
The bicycle shop closes on Thursday at 16 o'clock for training. No calendar date is mentioned.
“Thursday 12 November, we close at 16 o'clock. Friday you get 10% discount!”Create a better assignment yourself now →
Pleasure to meet you. We are Aldo and Ende.
I am Aldo. My friend is called Ende.
I am your blue course agent: I show you the way and give tips. My light pink friend Ende helps you propose and refine practice prompts, step by step.
A language model, an agent… what is the difference?
A language model generates text using the instruction and context you provide. An agent can use a language model to choose steps and deploy tools. Aldo fulfills the role of course guide here. Aldo and Ende use a language model for AI conversations. The fixed lesson hints and examples remain written course content. In the event of a temporary outage, you can continue with local practice tips.
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Start with just one lesson. Your first tick will appear as soon as you complete it.
Choose a small step
A learning path for what you want to do.
Start with 6 to 9 lessons. The full library remains freely accessible.
AI at work
Create clear emails, summaries, and action lists without making up facts.
0 of 9 completedChoose your AI tool
Try Claude, ChatGPT, Grok, and Gemini. Also understand cloud and local.
0 of 6 completedSmart automation
Build from a small workflow to an agent with boundaries and checkpoints.
0 of 9 completedReliable AI with own knowledge
Work with sources, RAG, and evaluation. Test what your system can actually do.
0 of 8 completedSearch in all 100 lessons
All lessons, on your terms.
Search in titles and lesson content. Or limit your choice to a topic.
Understand what AI can do
Recognise where AI helps you and when you must check yourself.
Open the lesson →Write a strong prompt
Provide context, a clear task, and a usable result.
Open the lesson →AI in your daily work
Turn a recurring task into a first practical application.
Open the lesson →Choose your tools consciously
Compare possibilities, data usage and total effort.
Open the lesson →Work safely and responsibly
Protect data and make AI literacy practical.
Open the lesson →Write clearly with AI
From first draft to a text that is correct and suits you.
Open the lesson →Summarise and analyse
Extract the core from a document without losing the nuance.
Open the lesson →Think of better ideas
Use variation and clear criteria to think further.
Open the lesson →Build a simple workflow
Connect input, processing, and control in a repeatable way.
Open the lesson →Work together as a team
Make AI usage discussable, repeatable, and accountable.
Open the lesson →Refine your prompts
Work with examples, criteria, and targeted improvement steps.
Open the lesson →Set up a AI assistant
Give an assistant a clear task and limited permissions.
Open the lesson →Create images and creative briefs
Direct based on purpose, image choice, rights, and fair presentation.
Open the lesson →Use your own knowledge with RAG
Let AI consult relevant documents and return sources.
Open the lesson →Measure what AI delivers
Assess time, quality, and errors before scaling up.
Open the lesson →Claude: from source to working document
Work with project knowledge, clear instructions, and a reusable result.
Open the lesson →ChatGPT / GPT: from question to usable result
Use goal, context, and targeted follow-up questions to improve a result.
Open the lesson →Grok: timeliness with source checking
Turn a current question into a small, verifiable source comparison.
Open the lesson →Gemini: understand a file or image
Combine a clear question with a document or image and check the details.
Open the lesson →Cloud or local: where does your AI run?
Understand where your data goes and what trade-offs you must make.
Open the lesson →Build a prompt library
Save good prompts and make them reusable for yourself and your team.
Open the lesson →AI for sales
Use AI for research, outreach, and follow-ups without making up facts.
Open the lesson →AI for HR
Improving job vacancy texts and internal communication, with an eye for privacy.
Open the lesson →AI for marketing
Speed up content ideas, social posts and campaigns.
Open the lesson →Multimodal AI
Work with text and image in a single flow.
Open the lesson →Local AI
Models that run on your own computer or server.
Open the lesson →Evaluation & quality
Assess whether AI output is good enough for use.
Open the lesson →Creating AI policy
Simple agreements in your team about what is and is not allowed.
Open the lesson →Agents basics
AI that can perform multiple steps in succession.
Open the lesson →Continuous improvement
Keep experimenting, measuring, and adjusting.
Open the lesson →What actually is a token?
Understand how AI splits text into pieces and why that affects length and cost.
Open the lesson →Temperature and creativity
Understand how settings influence the variation in answers.
Open the lesson →System prompt versus user prompt
Understand the difference between fixed instructions and your own question.
Open the lesson →Context window and memory
Understand how much the model “contains” in a single conversation and what that means.
Open the lesson →When AI hallucinates
Recognise situations in which AI invents facts or sources.
Open the lesson →Checking sources in practice
Make “check the source” a concrete habit.
Open the lesson →Rewriting emails with AI
Turn a rough text into a clear, appropriate email.
Open the lesson →Structuring meeting notes
Extract decisions, actions, and open points from rough notes.
Open the lesson →Creating to-do lists and action lists
Turn a goal or brainstorm into concrete, actionable steps.
Open the lesson →Short summaries for colleagues
Create a summary that someone can read in 30 seconds.
Open the lesson →Brainstorming ideas for a presentation
Use AI to get structure and perspectives for a presentation.
Open the lesson →Giving feedback on a text
Have AI review a text for clarity, tone, and completeness.
Open the lesson →Translating and adjusting tone
Translate or rewrite a text into a different tone or for a different target audience.
Open the lesson →Having tables and lists created
Ask for structured output that you can use immediately.
Open the lesson →Recognising errors in AI output
Learn to recognise typical errors before using the result.
Open the lesson →Prompt chains: multiple steps
Divide a complex task into consecutive prompts.
Open the lesson →Providing examples in your prompt (few-shot)
Show what you want by providing one or two examples.
Open the lesson →Enforcing output format
Request a fixed format such as a table, checklist, or JSON.
Open the lesson →Using roles and perspectives
Ask AI to answer from a specific role or perspective.
Open the lesson →Negative instructions (“do not do this”)
Clearly indicate what AI must not do or add.
Open the lesson →Iteratively improving a prompt
Improve a prompt step by step based on the result.
Open the lesson →Organising a prompt library
Save good prompts so that you can reuse and share them.
Open the lesson →Creating templates for recurring tasks
Turn a good prompt into a fillable template.
Open the lesson →Team agreements on prompts
Make agreements so that the team works consistently and safely with AI.
Open the lesson →Use AI for research (with source verification)
Let AI help with research, but always check the sources.
Open the lesson →Comparing documents
Let AI place two texts side by side and indicate differences.
Open the lesson →Writing checklists and procedures
Turn a task into a clear checklist or procedure.
Open the lesson →Preparing customer questions
Prepare answers to frequently asked questions.
Open the lesson →Building internal FAQs
Turn recurring questions into an internal FAQ.
Open the lesson →AI for project planning
Let AI help with breaking down a project into steps.
Open the lesson →Custom instructions and memory
Set fixed instructions so that AI remembers your preferences.
Open the lesson →Using projects and workspaces
Organise conversations by project or topic.
Open the lesson →Uploading and analysing documents
Use AI to summarise a document or ask questions about it.
Open the lesson →Describing and analysing images
Have AI describe an image or answer questions about it.
Open the lesson →Simple agents with fixed steps
Create an agent that always follows the same steps.
Open the lesson →Measuring results: time and quality
Measure whether AI actually saves you time and improves quality.
Open the lesson →Logging and improving errors
Keep track of where AI makes mistakes and adjust your approach.
Open the lesson →When you should not use AI
Recognise situations where AI is not the right choice.
Open the lesson →Build in human oversight
Ensure there is always a human checkpoint at important steps.
Open the lesson →From experiment to routine
Turn a working AI application into a fixed habit in your team.
Open the lesson →Understanding fine-tuning
Understand when fine-tuning is useful and when a good prompt suffices.
Open the lesson →Chain-of-thought and guiding reasoning
Ask the model to reason step-by-step.
Open the lesson →Tools and function calling
Understand how AI can call external tools.
Open the lesson →Multi-step agents with memory
Understand how an agent can take multiple steps and remembers intermediate results.
Open the lesson →RAG: improving chunking and retrieval
Understand how to split documents so that AI finds the correct pieces.
Open the lesson →RAG: assessing and citing sources
Ensure answers are traceable to the source.
Open the lesson →Multimodal workflows
Combine text, images and documents in a single workflow.
Open the lesson →AI for data analysis
Use AI to describe data and gain initial insights.
Open the lesson →AI for code and scripts
Let AI help with small scripts or code, and always test.
Open the lesson →Managing costs and tokens
Understand how tokens and costs are related and how to limit them.
Open the lesson →Evaluation: benchmarks and rubrics
Measure the quality of AI output in a consistent manner.
Open the lesson →Red teaming and edge cases
Deliberately test where AI fails or exhibits undesirable behaviour.
Open the lesson →Recognising bias and fairness
Recognise when AI output may be biased or unfair.
Open the lesson →Transparency and explainability
Make it clear when and how AI has been used.
Open the lesson →Monitoring and logging
Keep track of how AI systems perform in practice.
Open the lesson →Agent architectures (ReAct, plan-and-execute)
Understand two commonly used ways agents approach tasks.
Open the lesson →Multi-agent systems
Understand how multiple agents can work together.
Open the lesson →Orchestration with Make, n8n or code
Connect AI steps with other tools in an automated flow.
Open the lesson →Vector databases
Understand how vector databases help with searching through your own documents.
Open the lesson →AI in production: reliability
Ensure that a AI application remains reliable when it is actually being used.
Open the lesson →Fallback strategies
Ensure there is an alternative if AI is unavailable or fails.
Open the lesson →AI strategy for a team
Create a simple strategy for how your team deploys AI.
Open the lesson →Governance and risk management
Ensure oversight and agreements regarding AI use within the organisation.
Open the lesson →Cost models and ROI
Estimate whether a AI application is worth the investment.
Open the lesson →Continuing to build your own AI learning path
Keep your knowledge up to date and continue experimenting in a responsible manner.
Open the lesson →Conducting a real AI conversation with Ende
Propose a prompt and build upon the answer, without losing sight of your goal.
Open the lesson →Improving an answer without losing facts
Make a text shorter or clearer and check what changes as a result.
Open the lesson →Demonstrably check a AI answer
Turn a persuasive answer into a list of claims that you can test.
Open the lesson →From AI answer to a safe next step
Make it visible when a draft transitions into a real action.
Open the lesson →Practical test: create your own AI method
Combine a good prompt, a real practice conversation, and your own quality control.
Open the lesson →