About LearnLLM

LearnLLM: AI courses for professionals

LearnLLM teaches knowledge workers to use AI consciously and responsibly in their daily work. No loose prompts but an approach with a fixed use case, repeatable workflows and checkpoints that catch errors before moving on.

AI use case a defined task as a repeatable basis
Workflow fixed steps from framework to output to control
Checkpoints checks on assumptions, logic, risk and verifiability
Dennis van de Velde, founder of LearnLLM
Dennis van de Velde, founder LearnLLM

Why LearnLLM was developed

AI often sounds convincing. That's exactly where the risk arises.

Professionals do not get stuck because AI is not smart enough. They get stuck because AI can be convincingly wrong and errors are often recognised late. A well-worded sentence based on nothing, a statistic without a source, a summary that omits nuance: these are common problems that you only intercept if you know what to look out for.

LearnLLM is designed to fill that gap. Not by avoiding AI but by understanding it. You first learn where AI structurally fails before deploying it in your work. Then you build a workflow with fixed checkpoints that catch errors before they go any further.

The premise is simple: AI is never responsible. You are. That's why you learn when you can't trust output, what checks you always make and where you don't let AI make decisions autonomously.

Who is behind LearnLLM?

LearnLLM was founded by Dennis van de Velde, SEO specialist and daily professional user of AI.

Dennis van de Velde is currently working as an SEO specialist at Space'M Online and works daily with AI within professional assignments. He uses language models not only for quick output, but as part of structured work processes in which quality, control and reliability are central.

In his daily work, he develops and uses AI workflows for SEO and content processes, including with Python and links to tools and data sources such as Google Search Console, PageSpeed Insights and Screaming Frog. These are not isolated experiments or hobby projects, but practical applications within real operations and commercial environments. These workflows are deployed to speed up processes, improve analytics and make content production more scalable within professional processes.

It is precisely by using AI professionally every day that Dennis sees where things often go wrong in practice. Language models regularly formulate answers convincingly, even when information is incomplete, unsubstantiated or factually uncertain. A summary can sound logical without being completely correct. A statistic can convincing without a clear source. A conclusion can go just beyond the facts.

That practical experience forms the basis of LearnLLM. The courses are developed from daily professional use, not from hype or superficial AI tips. The aim is to teach professionals how to use AI in a responsible, productive and critically informed manner within their work.

LearnLLM is therefore built on a clear vision: AI is only truly valuable if you understand where the opportunities lie, where the limitations are and how to control output before relying on it. That combination of practical experience, critical assessment and professional applicability is at the heart of everything LearnLLM offers.

A course of action you can defend

Most professionals use AI ad hoc and get variable results. LearnLLM teaches you an approach that you can repeat and whose output you can account for.

One use case thoroughly worked through

You pick one task from your own work and build a complete approach around it. Not a broad overview but something you deploy the very next day.

Repeatable workflows without loose tricks

Each course provides a course of action that you can repeat. Not dependent on the right prompt at the right time but an approach that works structurally.

Fixed checkpoints in every workflow

You learn not only how to deploy AI but also when not to trust its output. The two belong together.

Tangible end product with every course

You finish with something useful: a furnished project, a documented workflow or a personal work file. No knowledge you forget.

Built on daily practice

The courses come from professional use of AI tools in real assignments, including the mistakes that come with them.

Certificate after completion

Each paid course concludes with a certificate that you can register as a learning activity in HR systems. Demonstrably upskilled on a subject that matters now.

The LearnLLM approach

From understanding to controlled application so you work faster without losing quality.

  1. Understand where AI fails

    You learn why AI can be convincingly wrong and which tasks pose additional risk. This is the basis on which the rest of the approach rests.

  2. Choose one concrete use case

    You link AI to one task from your daily work. Delineated and repeatable so you have a solid base to build on.

  3. Write instructions that work

    You will learn how to give AI a clear assignment with the right context, the desired outcome and the limits you set. And how to adjust if the output is not right.

  4. Work with workflows and checkpoints

    You build fixed steps from framework to output to control. With checks that catch errors before you use or send the output.

Who are the courses for?

For professionals who are responsible for the quality of their own work and want to use AI without compromising on reliability.

The courses are designed for knowledge workers without a technical background who already use AI but do not yet have an established way of working. Think of consultants and advisers, marketers and communication professionals, policy staff, HR professionals and project managers. Also self-employed and freelancers who want to use AI as a productivity multiplier without compromising on quality.

What all these professionals have in common: they deliver output under their own name, bear responsibility for what they send and cannot afford reputational risk due to AI errors they have not intercepted. That is exactly the target audience for which LearnLLM was built.