About LearnLLM
LearnLLM teaches you to use AI the way you would onboard a new colleague, with clear tasks, fixed ways of working and moments to check. That approach is in every e-learning, whether you work alone or with a whole team.
In English and Dutch · Certificate in your own name · Also for teams
Who is Dennis van de Velde?
SEO specialist, daily AI user and the only person behind LearnLLM.
There is one person behind LearnLLM. I am an SEO specialist at Space'M Online, and the courses and knowledge base articles on this platform come from my own practice, not from theory or marketing material.
In my daily SEO work, Claude is now my primary AI model, both through the interface and through the Python API on my own VPS, connected to tools such as Search Console and Screaming Frog. Before that I used ChatGPT intensively and built several custom GPTs with it for keyword research and content briefs, until I switched based on my own comparison.
My earlier work at Rabobank, ABN Amro and Van Lanschot gave me the four-eyes principle and a habit of thinking in risks, two habits I now apply to AI output. If you want to know exactly what I have done with which tools, that overview is on my author page (in Dutch).
Why I set up LearnLLM
AI often sounds convincing. That is exactly where the risk starts.
Professionals do not get stuck because AI is not smart enough, but because AI can be convincingly wrong and those errors are often spotted late. In the period when I used ChatGPT intensively for SEO work, I came across that pattern all the time. A recurring example was ChatGPT giving a search volume for a keyword without being asked, while it has no connection to Ahrefs or any other keyword tool and so cannot possibly know those figures.
A second observation comes from my SEO work itself. Since the Google update of January 2026, I have seen in Search Console for client sites that generic, AI-generated content without its own perspective has lost substantial traffic. What stayed stable was content with a recognisable author and real first-hand experience.
LearnLLM was set up to close that gap, not by avoiding AI but by understanding it.
How I look at AI
Three principles that form the basis of every course.
Probability, not truth
A language model predicts which word plausibly follows the previous one. That is not a bug that will disappear in the next version, it is a structural feature. Understanding that is the basis of responsible use.
Responsibility stays human
AI is very good support for thinking and drafting, but it does not make decisions. Whoever uses AI remains ultimately responsible for what goes out under their name.
Risk determines the check
A first draft has a different margin of error from a legal agreement. The distinction between low-risk and high-risk work is the most practical compass a professional can use.
From understanding to controlled use, in four steps
That way you work faster without losing quality, and without having to explain afterwards how something came about.
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Understand where AI fails
You learn why AI can be convincingly wrong and which tasks carry extra risk. That is the foundation for everything else.
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Choose one specific use case
You link AI to one task from your daily work. Clearly defined and repeatable, so you have a solid base to build on.
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Write instructions that work
You learn how to give AI a clear task with the right context, the result you want and the limits you set.
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Work with workflows and checkpoints
You build fixed steps from framework to output to check. The same logic as the four-eyes principle from banking, translated to work with AI.
What sets my courses apart
Six pillars that together give you a way of working you can defend to clients, managers and yourself.
One use case worked through thoroughly
You choose one task from your own work and build a complete approach around it. Not a broad overview, but something you use the very next day.
Repeatable workflows
Every course gives you a way of working you can repeat, without depending on the right prompt at the right moment.
Fixed checkpoints
You learn not only how to use AI, but also when not to trust the output. The two belong together.
A tangible end product
You finish with something usable, such as a configured project or a documented workflow. Not knowledge you forget.
Built on daily practice
The courses come from my own professional use of AI in real assignments, including the mistakes that come with it.
Certificate on completion
You finish every paid course with a certificate you can record as a learning activity in HR systems.
For individual professionals
For knowledge workers who want to use AI without compromising on reliability.
The courses are for knowledge workers without a technical background who already use AI but do not yet have a fixed way of working, such as consultants, marketers, policy officers and project managers. What they share is that they deliver output under their own name and cannot afford reputational risk from AI errors they did not catch.
The courses take eight to eleven hours and AI Literacy Essentials about two hours, at your own pace, with twelve months of access and a certificate. None of the courses requires prior knowledge, not even the AI Automation Course: it first builds the integrations without code using Zapier or Make. If you want to train your team for Article 4 of the EU AI Act, the AI Literacy Course is the place to start. If you want a taste first, start with the free ten-minute introduction course.
For teams and organisations
For organisations that want everyone to work with AI from the same foundation.
For teams and organisations, every employee gets their own account, a year of access and a certificate in their own name, and you can pay by invoice.
Choose the AI Literacy Course for your team if everyone needs the same foundation: how AI works, where it goes wrong, which data you never enter and which agreements you record. For a short shared start there is AI Literacy Essentials. All options and prices are on the page about AI training for teams.
If you have more than 49 employees, I make a price for your organisation. Send a message via the contact page.
