Deep dive · module 95 of 100
Continuing to build your own AI learning path
Keep your knowledge up to date and continue experimenting in a responsible manner.
After this lesson
You create a simple plan to continue developing your AI skills.
In view · An improvement loop
Your learning path remains in motion
Choose a new skill and practise with a safe, small task.
Note prompt, result, boundaries, and what you self-reviewed.
Share your findings and check later if the approach still works.
Part 1 of 3 · Small trial
Your preference for less movement is on. Choose each part yourself.
Keep experimenting
Regularly try a new prompt or workflow on a small, safe task.
Share what works
Put good finds in the prompt library or share them with the team.
Stay critical
New possibilities change quickly. Always check if something still works and is safe.
New practice example
From explanation to a usable result.
Choose your next learning step based on a real task and a question you can answer after practising.
Fictional practice situationFictitious: you want to use AI better for meeting notes. Your first trial lacks open questions and unclear deadlines.
View a possible solution
This is how it can be done
Choose a lesson about structuring, create a customised trial with fictitious notes and separately check decisions, actions and open points. Keep track of what you changed and what improved as a result.
Why this works
Your learning path connects to an observable problem. Repeat the same trial later to see what you still remember.
Make it slightly more difficult
Formulate one learning goal for next week with a task, a control criterion and a moment to revisit it.
Extra practice, at your own pace. You do not need to submit anything. This does not count towards an automatic assessment.
Your workplace · learning by doing
Make something. See what changes.
Checking the AI connection… You can already view the written example.
Present your assignment to Ende.
Read the answer, change one thing, and compare.
Previously held
New version
You remain in control
What do you want to improve in your next attempt?
On this device only. AI answers remain only in this page memory. This is self-review, not a grade.
Why this approach works
Your learning path connects to an observable problem. Repeat the same trial later to see what you still remember.
A step further
Formulate one learning goal for next week with a task, a control criterion and a moment to revisit it.
A prompt to get you started
Create a simple personal learning plan for the coming month: one thing to try, one thing to share, and one thing to check.
Apply it
You want to maintain your AI skills after this course. New features appear regularly and do not always work as expected.
Which approach best fits this situation?
- Immediately adopt every new feature on a large scale.
- Stop checking as soon as a previous test went well.
- Plan a small, safe test, check the outcome, and share what demonstrably works.
With JavaScript, you can check your approach and receive immediate feedback.
Test your insight
What is a good attitude to keep your AI skills up to date?
- Regularly performing small experiments, sharing what works, and staying critical.
- Accepting everything automatically.
- Stopping learning as soon as it works.
Extra practice
Note one experiment you want to conduct with AI in the coming weeks.
Test a new prompt for meeting notes on three meetings and share the results with the team.
