Training course – Prompt Engineering – Executive & Office Assistants

Prompt Engineering for Assistants and Office Managers

Vendor-neutral prompt engineering: roles, context, few-shot examples, prompt chains, prompt libraries and systematic quality checks.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Prompt Engineering for Assistants and Office Managers” is designed for roles such as Executive and team assistants, Office managers and Secretariats in companies, law firms and public bodies and shows step by step how to use Prompt Engineering productively, safely and transparently in Executive & Office Assistants – from the fundamentals to advanced workflows.

Whether you use ChatGPT, Claude, Copilot, Gemini or Le Chat, the quality of the output depends largely on how the task is framed. Prompt engineering is the skill of conveying goal, context, constraints and desired format to a language model so that it reliably produces usable results. In this vendor-neutral practical day you learn proven techniques that work across all mainstream AI assistants: defining roles and audiences, selecting relevant context, working with examples and breaking complex tasks down into traceable steps. You try out every technique directly on tasks from your own working day.

The second part focuses on repeatability and quality across the team. You develop prompt templates with placeholders, build multi-step prompt chains for analysis, writing and review processes, and set up a shared prompt library. You learn to evaluate output systematically – with review criteria, test cases and targeted self-checks by the model – and to avoid typical pitfalls such as hallucinations, ambiguity and missing context. By the end you have a structured approach that works regardless of the tool you use and continues to pay off as new models arrive.

Assistants and office teams are the organisational hub of any business: they coordinate diaries and travel, prepare meetings, pull information together, handle correspondence and keep operations running smoothly. Generative AI is a particularly effective tool for this role. It drafts emails and letters in the right tone, summarises long email threads and documents, produces minutes, translates correspondence and structures presentations. AI agents and automations take over recurring workflows such as scheduling, filing or preparing expense claims. This frees up capacity for more demanding work in project coordination, communication and organisational development – making the assistant role more strategic.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Executive and team assistants
  • Office managers
  • Secretariats in companies, law firms and public bodies
  • Reception and facilities office staff
  • Project assistants

Typical challenges we address

  • Overflowing inboxes and many parallel requests
  • Heavy coordination effort for meetings, travel and events
  • Repetitive writing and formatting work
  • Information scattered across emails, documents and tools

What you will be able to do

  • You understand how language models process prompts and derive effective wording from this.
  • You structure prompts with role, context, task, constraints and output format.
  • You use few-shot examples and prompt chains for complex, multi-step tasks.
  • You create reusable templates and build a shared prompt library.
  • Handle correspondence, summaries and minutes much faster with AI.
  • Organise meetings, travel and events using AI-supported templates and checklists.
  • Automate recurring office workflows with simple AI and no-code tools.

Course outline

Module 1 How language models process prompts
  • Core principles of language models: probabilities, context window, limitations
  • Why wording, order and examples change the result
  • What causes hallucinations and how prompts reduce them
  • Differences and common ground between mainstream AI assistants
Module 2 Building blocks of an effective prompt
  • Defining role, audience, task, context and output format
  • Stating constraints, exclusions and quality criteria
  • Structured input with sections, delimiters and tags
  • Asking the model to raise questions instead of making assumptions
Module 3 Advanced techniques
  • Zero-shot, one-shot and few-shot: setting style and structure with examples
  • Requesting step-by-step reasoning for complex tasks
  • Prompt chains: separating research, drafting, review and revision
  • Using change of perspective, counter-arguments and model self-critique
Module 4 Templates and prompt libraries
  • Creating reusable templates with placeholders and variables
  • Storing persistent instructions in projects, custom assistants and agents
  • Building, naming, maintaining and sharing a team prompt library
  • Documenting templates: purpose, inputs, expected output, owner
Module 5 Quality assurance and responsible use
  • Defining review criteria and scoring rubrics for AI output
  • Setting up test cases and systematically comparing and improving prompts
  • Verifying facts, figures and sources; establishing the four-eyes principle
  • Data protection, confidential content and transparency under GDPR and the EU AI Act
Module 6 Practice lab: Executive & Office Assistants
  • Emails and correspondence
  • Summarising email threads
  • Meeting preparation and follow-up
  • Travel and event planning
  • Presentations and documents
  • Automating routines
Module 7 Data protection, quality & transfer to daily work
  • Assistants often handle confidential correspondence, HR and board matters, which may only be processed in approved AI environments. In professions bound by confidentiality, such as law firms or medical practices, additional secrecy obligations apply, and third-party contact data is subject to the GDPR.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Emails and correspondence

AI drafts replies, declines, invitations and reminders in the right tone, cuts long texts down to essentials and translates business correspondence – you review and send.

Summarising email threads

Long threads and documents are condensed into decisions, open questions and next steps so you can brief your manager in a few minutes. Pending actions are clearly flagged.

Meeting preparation and follow-up

Agendas, briefing packs and attendee information are prepared; after the meeting, notes become structured minutes with an action list. Owners and deadlines are assigned so follow-up works without extra coordination.

Travel and event planning

AI helps structure travel requirements, build event schedules and checklists and present information for attendees in a clear format. Comparison overviews of hotels and connections can also be produced quickly.

Presentations and documents

Bullet points become outlines and slide text, tables are cleaned and formatted and templates for recurring documents are standardised. The result is professional, consistently designed documents in far less time.

Automating routines

Recurring tasks such as filing attachments, collecting responses or chasing deadlines are linked up using no-code automation and AI agents. This saves valuable time every single day.

Prerequisites

Some initial experience with at least one AI assistant such as ChatGPT, Claude, Copilot or Gemini is helpful; no technical background is required. Experience as an assistant, secretary or office manager and confident use of standard office software.

Technical requirements

A laptop with an up-to-date browser and access to at least one AI assistant, ideally the tool approved within your organisation.

Data protection & compliance

Assistants often handle confidential correspondence, HR and board matters, which may only be processed in approved AI environments. In professions bound by confidentiality, such as law firms or medical practices, additional secrecy obligations apply, and third-party contact data is subject to the GDPR.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Tue, 15 December 2026 6 hrs Request
  • Salzburg Thu, 10 December 2026 6 hrs Request
  • Berlin Mon, 14 December 2026 6 hrs Request
  • Augsburg Tue, 15 December 2026 6 hrs Request
  • Hanover Mon, 14 December 2026 6 hrs Request
  • Bremen Wed, 16 December 2026 6 hrs Request
  • Stuttgart Wed, 16 December 2026 6 hrs Request
  • Kaiserslautern Fri, 11 December 2026 6 hrs Request
  • Online Tue, 15 December 2026 6 hrs Request

Frequently asked questions

Do these techniques work with every AI assistant?

Yes, the course is deliberately vendor-neutral. The principles – a clear task, relevant context, examples, structured output and review steps – work equally well in ChatGPT, Claude, Copilot, Gemini, Le Chat and other tools. Where assistants differ in detail, for example with projects or custom assistants, we show the corresponding features in each.

Won't better models soon make prompt engineering obsolete?

Models are getting better at interpreting vague requests, but they still cannot know what you do not tell them: audience, quality standards, internal requirements or relevant background. Good prompts are therefore mainly good task descriptions. Templates, prompt chains and quality checks also keep their value for teams as new models arrive.

What is a prompt library and how do we maintain it as a team?

A prompt library is an organised collection of proven templates for recurring tasks, each with its purpose, required inputs, a sample result and an owner. It can live in a shared document, a wiki or directly in the AI tool's projects. In the course you set up a first library and agree simple rules for maintenance and approval.

Do I need any technical background?

No. If you are confident with email, word processing and spreadsheets, you have everything you need. The course works with real tasks from an assistant's day and shows step by step how to use AI assistants and simple automations. Templates from the course can be reused straight away.

How do I handle confidential content?

Confidential board, HR or client information belongs only in tools approved by your organisation. In the course you learn to anonymise content, work with placeholders and recognise when it is better not to use AI at all. You also draft simple rules to agree with your manager.

How much does “Prompt Engineering for Assistants and Office Managers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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