Training course · ChatGPT · Human Resources

ChatGPT for HR Teams

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects ChatGPT with the everyday processes of Human Resources. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

HR departments are service providers, advisers and change agents at once: they manage contracts and processes, support managers and drive topics such as people development and company culture. Generative AI can take a lot off their plate. AI assistants draft policies, employment references, job descriptions and employee communications, answer recurring questions on leave, working time or benefits and help design training and feedback processes. Automation speeds up onboarding and offboarding and analyses employee surveys. HR, however, demands particular care: personnel data is highly sensitive, decisions about people must remain fair and transparent, and many AI applications require works council involvement. Considering these conditions from the start builds acceptance and turns AI into genuine relief.

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?

  • HR business partners
  • HR officers and generalists
  • Learning and development specialists
  • Payroll and HR administration staff
  • Heads of HR and CHROs

Typical challenges we address

  • Handling recurring employee queries alongside strategic work
  • Producing policies, references and documents quickly and in a legally sound way
  • Coordinating onboarding and offboarding across many stakeholders
  • Analysing employee feedback and HR metrics meaningfully

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Create HR documents, communications and development concepts efficiently and soundly with AI.
  • Automate HR processes such as onboarding and employee queries with clear responsibilities.
  • Take employee data protection, co-determination and the EU AI Act into account when using AI in HR.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: Human Resources
  • Drafting HR documents
  • Employment references
  • Employee self-service
  • Onboarding automation
  • Survey analysis
  • People development
Module 7 Data protection, quality & transfer to daily work
  • Personnel data is protected by the GDPR and national employee data protection rules; in Germany, introducing AI systems capable of monitoring behaviour or performance requires works council co-determination under the Works Constitution Act. AI used for decisions on promotion, termination or performance evaluation is high-risk under the EU AI Act.
  • 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

Drafting HR documents

An AI assistant drafts policies, works agreement proposals, job descriptions and employee information in plain language, which HR then checks against employment law and agrees internally.

Employment references

Based on a structured performance assessment, AI drafts a reference letter at the appropriate rating level with favourable yet truthful wording, which HR checks against established reference conventions.

Employee self-service

A knowledge assistant answers questions on leave, travel expenses, working time or benefits based on approved policies, cites the source and hands complex cases to HR.

Onboarding automation

Workflows create checklists, welcome emails, induction plans and tasks for IT, the line manager and buddies, so new joiners are well prepared from day one.

Survey analysis

Free-text answers from employee surveys or exit interviews are anonymised and clustered by theme, sentiment summarised and fields of action for leadership and HR derived.

People development

AI supports the design of training programmes, competency models, learning paths and guides for performance and feedback conversations, tailored to roles and company culture.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. You work in HR and know the core HR processes and basic employment law in your organisation.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

Data protection & compliance

Personnel data is protected by the GDPR and national employee data protection rules; in Germany, introducing AI systems capable of monitoring behaviour or performance requires works council co-determination under the Works Constitution Act. AI used for decisions on promotion, termination or performance evaluation is high-risk under the EU AI Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 Online Request
  • Fri, 4 December 2026 Munich Request
  • Fri, 11 December 2026 Online Request
  • Wed, 20 January 2027 Hanover Request
  • Mon, 1 February 2027 Online Request
  • Mon, 15 February 2027 Berlin Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

Does the works council have to agree to AI use?

Often, yes. In Germany, as soon as an AI system is technically capable of monitoring employee behaviour or performance, the works council has co-determination rights, plus information and consultation rights. We show how to involve employee representatives early and what an AI framework agreement typically covers.

May we process personnel data in AI tools?

Only in approved environments with a data processing agreement, a clear purpose and a legal basis. Many tasks, such as drafting policies or training concepts, need no personal data at all. Where they do, minimise and pseudonymise the data. In the course we develop practical rules for your HR team.

How much does “ChatGPT for HR Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm 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 or Kaiserslautern. We can also run the course exclusively for your team.

More courses for HR Teams

More ChatGPT courses

All 45 ChatGPT courses

ChatGPT · MunichChatGPT · SalzburgChatGPT · BerlinChatGPT · AugsburgChatGPT · HanoverChatGPT · BremenChatGPT · StuttgartChatGPT · KaiserslauternChatGPT · Online