Free, right now
The first four chapters online, with a knowledge check after each chapter. Plus a pdf with a worksheet and a cheat sheet.
You can read the lessons straight away. For the PDF, you leave your details.
Start with lesson 1Prefer to have a trainer there with you?
The one-day ChatGPT course. You work with your own tasks and your own texts, and you go home with prompts you will use the next day.
€675,- excl. VAT
View the ChatGPT course All ChatGPT courses →Anyone who opens ChatGPT sees an empty input field and nothing else. The tool can do a great deal, but it does not tell you what it can do, and it does not mention it when it gets things wrong either. That is why some users drop out again after two weeks: the answers come quickly enough, but they are not usable enough to base your work on.
This free online course is the starter for our full ChatGPT. In four chapters you learn to build up an instruction from five fixed building blocks, to steer an answer in small rounds, to judge which data does and does not belong in an input field, and to check the result in the five places where things tend to go wrong. It is about working methods that last, not about buttons that will be somewhere else next year. Each chapter ends with a short knowledge check.
The full training course goes on to cover how a language model works under the bonnet, which model to choose for which task, the working environment with instructions and memory, advanced prompting techniques, creating texts and images, having documents and spreadsheets analysed, working with speech, the AI Act and copyright, and your own AI work plan. Would you like to cover those topics with an experienced trainer present, and with your own work on the table? Then have a look at the ChatGPT training course.
0.-
IntroductionHow this free course is structured and what you learn in the four chapters.
1.-
The five building blocks of a good promptRole, task, context, format and constraints: where you take the choice out of the model's hands, and the five mistakes everyone makes at the start.
2.-
Steering until it is usableWorking in rounds instead of in one perfect instruction, one change per round, and how to bring back a conversation that has drifted off.
3.-
What to enter and what not to enterWhere your input goes, when something counts as personal data, which data should never go in and how to make a text ready to paste.
4.-
Checking the outputWhy a language model makes things up without blinking, the signals that give it away and the five categories you always check.
5.-
How a language model worksPredicting the next word, what a model is trained on and how a raw language model becomes a chat assistant.
6.-
Choosing the right model for each taskHow models differ from one another, when a reasoning model pays off and how ChatGPT compares with other assistants.
7.-
The working environment: instructions, memory and projectsManaging conversations, recording fixed preferences once, working with projects and building your own GPT.
8.-
Applications in your daily workTaking stock of your own tasks, having your thinking supported and deciding where the human stays in the loop.
9.-
Advanced prompting techniquesSending examples along, breaking instructions into chains, templates for recurring work and having the model improve your own prompt.
10.-
Creating text and imagesWriting from scratch, diverging and converging, summarising in stages, recording your own style profile and adding images to your text.
11.-
Having documents and figures analysedUploading a file and getting answers out of it, having images read and moving from analysis to end product.
12.-
Working with voiceDictating instead of typing, voice mode and turning meetings into a report with action points.
13.-
The AI Act and copyrightWhat the law asks of users, transparency about AI content and how copyright relates to generated work.
14.-
Agreements and your own AI work planUsage agreements within your team, three tasks to start with, building a prompt library and keeping up to date.
That is the difference with a pdf: there is someone standing in front of the class who answers your questions and thinks along with your own situation.
I found the 'Interview Techniques' course to be good. Nothing to fault. It was also good that Job called beforehand for a short preliminary discussion. You don't see that very often. A very worthwhile course. It also had a strong element of repetition. Plenty of variety, including between theory and practice. Learned a lot, and applied it straight away during the course. And I think these learnings will also help me further when conducting interviews.
We took the Outlook, Teams and OneNote course with Roy Nieuwenhuijzen. Good content, and a few days before the course he got in touch with me (coordinator of the course, head of the secretariat). Pleasant that you can fill in the day itself as needed. The booklet for reference is rather dated, but apparently there is little up-to-date material to be found.
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Your own motivation and commitment are essential if you want to master something new. You can get a long way with self-study. Learnit wants to contribute to this by offering valuable content such as free webinars and courses. This way you can get acquainted with new fields of learning. Once you have made a start, you may discover that there are also many advantages to taking a course at Learnit under the guidance of an experienced trainer.
In short, you achieve much more in less time.
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