You already use AI. But do you trust the output?
Inconsistent results, doubts about errors, no fixed approach. In the LearnLLM e-learnings you learn a way of working with AI that you can repeat and account for, at your own pace, in English or Dutch, with a certificate for every course you complete. If you work in a team, every employee gets their own account and a certificate in their own name.
Choose your course and build your way of working
Four e-learnings of 8 to 11 hours, AI Literacy Essentials of about two hours and a free ten-minute starter course. In clear English, with no technical knowledge required and a certificate for every course you complete. In a team, everyone gets their own account and a certificate in their own name.
Start here
AI Literacy course
The basis for every other course: how language models work, where they make mistakes, when you must be transparent about using AI and which agreements you need to use AI responsibly in your work.
The short version
AI Literacy Essentials
The basics of AI literacy in about two hours: what AI is, which rules apply and which data you never enter, with a certificate in your name.
Widely useful in your work
ChatGPT course
From loose prompts to a fixed way of working in ChatGPT, with prompts, Projects and review points that you apply to your own work, hand over to colleagues and use safely with ChatGPT Work.
For long documents
Claude course
Working with long documents: building context, setting up Projects, using Skills and connections to your own files, handing over tasks and checking output before you use it.
Automate with or without code
AI Automation course
Build an automation with Claude for recurring work from your own practice, without code through Make or Zapier, or with Python, with a review step before anything moves on.
Free starter course
Free ChatGPT Starter Course
In ten minutes you see what ChatGPT really does, where it goes wrong and what you will do differently tomorrow. No payment, just an account.
Working professionally with AI starts with a fixed way of working
Working professionally with AI does not start with the newest tool, but with a fixed way of working that is predictable and verifiable. That is the difference between occasionally useful and consistently reliable.
Most professionals already use AI, but without a fixed way of working. One time a usable answer, the next an error that nobody notices. Without agreements on prompts, checks and accountability, the result depends on whoever happens to be behind the screen.
That this makes you faster is not a sales pitch, but it depends on which task you choose. In a controlled experiment with 758 consultants, participants worked 25.1 per cent faster and completed 12.2 per cent more tasks, but only on the eighteen tasks that fell within the boundary where AI is reliable. On the one task chosen outside it, their answer was correct 19 percentage points less often.
Source: Dell’Acqua et al., Organization Science, 2026. A controlled experiment, not a survey.
That is exactly why every course starts with choosing the right tasks, not with the tool. In practice that means clear prompts, fixed checkpoints and output you can back up. That way, working professionally with AI becomes a skill of the whole team, not of one person.
If you want to set this down as a shared way of working in your team, AI training for teams gives everyone the same foundation. If you want to lay the foundation yourself first, build it with the AI courses.
AI is never responsible, you are
That is why LearnLLM is not about the newest tool, but about a way of working you can repeat and account for. Every course is built on that, whether you work alone or with a whole team.
Written personally
Dennis van de Velde writes every course himself, based on his own work with AI in SEO and B2B marketing.
Practise with your own work
The courses include practical assignments on your own work, so the next day you use the way of working instead of just knowing it.
Certificate in your own name
When you finish, you get a certificate in your own name that can be verified online. That way you can see what you have completed for each course.
Fits Article 4 of the AI Act
Article 4 of the EU AI Act asks for measures that support AI literacy. With a course and a certificate for each employee, you record which measure you have taken.
For your whole team, by invoice
For a team, every employee gets their own account and certificate, and you can pay by invoice in your employer’s name.
Banking experience in every course
The way of working comes from years of working under supervision at Rabobank, ABN Amro and Van Lanschot, with the four-eyes principle as a fixed step, as you can read in the story behind LearnLLM.
Know what you are doing with AI
Practical articles for anyone who wants to know what they are doing with AI. No hype, no theory. Only what you can apply straight away.
AI basics
The basics of using AI professionally, with the first steps towards a fixed way of working.
AI models
The AI models behind ChatGPT, Claude and Gemini side by side, with when to choose which.
ChatGPT guide
Practical guidance on using ChatGPT in your work, with no technical knowledge required.
Claude guide
Claude in practice, including Projects, Skills and Cowork.
Gemini guide
Google Gemini in practice: what it costs, what it can do and how it compares with ChatGPT.
Perplexity guide
Perplexity as a search engine with sources: how it works and what to watch for.
Comparisons
ChatGPT, Claude, Gemini and other tools side by side, so you can make a well-founded choice.
Prompt engineering
Repeatable prompt structures, so you do not depend on loose prompting tips.
AI use cases
Practical uses of AI in your work, such as taking minutes and summarising.
Automating with AI
Workflows, integrations and AI agents for recurring work, from API to webhook.
AI for business
AI by profession, from accountants and lawyers to marketers, with the way of working that suits your field.
