Who is an AI course useful for?
An AI course is useful for entrepreneurs, teams and employees who want to work faster without building software right away. The best results come when participants bring their own tasks, such as writing emails, preparing quotes, creating content or summarizing customer questions.
What do you learn specifically?
The course translates AI into tasks that your team can apply the same week.
| Part | What you can do afterwards |
|---|---|
| Prompts | Write clear instructions for usable output |
| Workflow thinking | Break down tasks into steps that AI can support |
| Quality control | Assess, improve and use AI output safely |
| Automation opportunities | Recognize which tasks can be linked later |
| AI and discoverability | Understanding the link between AI, GEO and content structure |
Which modules does an AI training for companies contain?
An AI training for companies contains modules that connect directly to the work of the team. The content may differ per company, but the basis is always the same: provide better input, check output and integrate AI responsibly into workflows.
These modules are often discussed.
- Prompt structure for clear commands
- Using AI for emails, summaries and document work
- Accelerate marketing tasks without losing quality
- Check AI output for errors, tone and completeness
- Recognize automation opportunities for later implementation
- Basic agreements regarding privacy, data and team use
How does an AI course work?
We start with your goals and tasks. We then show short examples, participants work on their own cases and we build reusable prompts or methods together. The goal is not for your team to know AI, but for it to use AI with more control and less trial-and-error.
From practice
What sticks is what people immediately apply to their own work. A general demo is quickly forgotten. A task that can now be completed in half the time will stick around.
Do you also learn about GEO in an AI course?
A general AI course can introduce GEO, but also covers prompting, automation and responsible AI use. Those who want to fully focus on visibility in ChatGPT, Google AI Overviews, Gemini and Perplexity should choose the specific GEO training.
When do you choose AI consultancy instead of a course?
You choose Hire Jan Kenis as AI consultant when the company first needs to determine which processes, data and risks have priority. A course is better when the cases are clear and your team mainly wants to learn how to work better with AI tools.
When is a course not enough?
A course is sufficient if people want to work smarter with tools. If you need fixed processes, repetitive data flows or links with CRM, accounting or website, then AI automation services is a better fit. For unique software flows, AI software development makes more sense.
For which teams is an AI course suitable?
An AI course is suitable for teams that process a lot of text, knowledge, customer questions or marketing tasks. The examples are customized to the team, so that participants practice with their own tasks instead of general demos.
These teams often gain a quick advantage.
| Team | Apply what they learn |
|---|---|
| Marketing | Prepare briefs, content control, SEO research and reporting |
| Sales | Summarize conversations, prepare follow-up and structure customer information |
| Administration | Process documents, structure emails and speed up standard tasks |
| Management | Assess AI opportunities, make agreements and recognize risks |
What does an AI course deliver?
A good course saves time, better internal agreements and less arbitrary use of AI. Teams also learn when not to use AI, for example with incomplete data, privacy-sensitive information or output that needs to be checked legally or substantively.