HeptaMS
HeptaMS AI foundation
One tool, properly mastered.
HeptaMS Certified Skill Free

HeptaMS AI foundation

Leads to certification: HeptaMS Certified Skill – AI foundation

The course explains, without mathematics and without technical background, how a language model arrives at its answer and why false statements occur in the process.

Course fee
Free
certificate optional for 195 €
At a glance
Scope
½ day (~4 h) 1 blocks of 4 hours
Formats
Live Online
Exam
Multiple choice, 10–15 questions, 70 % to pass, 3 attempts included
Prerequisites
none – explicitly no technical background required

What it covers

The course explains, without mathematics and without technical background, how a language model arrives at its answer and why false statements occur in the process. It covers the available models and operating models, what happens to data that is entered, and the legal conditions that apply. Further topics are the ways AI is used in everyday work, the requirements that arise as soon as an AI deployment goes beyond the chat window, and the fundamentals of AI governance and the role of human judgement.

Why take this course

AI tools are in use in many organisations without a decision having been made about which data may be entered. Around 60 % of employees deliberately use AI (Melbourne Business School), while 14 % of leaders consider themselves able to shape human-machine collaboration (Deloitte).

What you can do afterwards

  • Explain in your own words how a language model arrives at its answer and why false statements follow from that.
  • Distinguish assistance, RAG and agent, and choose the appropriate form for a use case.
  • Judge what happens to data that is entered and decide what must not be entered.
  • Tell data location and data sovereignty apart.
  • Assess an AI use case in terms of benefit, risk and effort.
  • Apply the four governance questions to your own environment and name where human approval is required.

Who this course is for

Primary

Everyone who is expected to work with AI or to decide about it without a technical background: business functions, product, operations, administration, leadership, works council.

Also a fit

Anyone growing into a role with AI responsibility. Anyone asked to draft an AI policy. Technical roles who need a shared language with non-technical colleagues.

Learning objectives in detail

  1. 1 Explain in their own words how a language model arrives at its answer and why hallucinations follow.
  2. 2 Distinguish RAG, agent and simple assistance and name the appropriate form for a given use case.
  3. 3 Judge what happens to data that is entered, depending on access type and contract, and decide what must not be entered.
  4. 4 Tell data location and data sovereignty apart.
  5. 5 Assess an AI use case soberly: benefit, risk, effort.
  6. 6 Check the five signs in their own area and name the established answer for each one found.
  7. 7 Apply the four governance questions to their own environment and name where human approval is mandatory.

Dates & demand pools

Wed, 28. Apr 2027
09:00 – 13:00 New Zealand Time
Live Online English Online
Details
Trainer
René Hoyer
René Hoyer
Founder of HeptaMS

René Hoyer has been writing software since he was twelve. For over two decades, he has been accompanying organisations in their agile transformation: as programme manager, Product Owner and SAFe-Coach (SPC). He has introduced Scrum, Kanban and OKRs in large companies. He has been working with artificial intelligence since the early nineties, nowadays daily with coding agents. He is the founder of HeptaMS and OCENOX. He lives with his family in Auckland, New Zealand.

Machine translation. The original is authoritative.

Detailed schedule
Wednesday 28. April 2027 21:00 – 01:00 GMT
Times shown in your time zone. Add to calendar
Thu, 29. Apr 2027
09:00 – 13:00 Central European Time
Live Online Deutsch Online
Details
Trainer
René Hoyer
René Hoyer
Founder of HeptaMS

René Hoyer has been writing software since he was twelve. For over two decades, he has been accompanying organisations in their agile transformation: as programme manager, Product Owner and SAFe-Coach (SPC). He has introduced Scrum, Kanban and OKRs in large companies. He has been working with artificial intelligence since the early nineties, nowadays daily with coding agents. He is the founder of HeptaMS and OCENOX. He lives with his family in Auckland, New Zealand.

Machine translation. The original is authoritative.

Detailed schedule
Thursday 29. April 2027 07:00 – 11:00 GMT
Times shown in your time zone. Add to calendar
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Name your preferred date and start a pool for this course. Once enough people join we schedule it and get in touch – you only book after that.

Questions left?

Is this course right for your situation?

If no date fits or you need the course in-house: drop us a line and we will come back with a proposal.