Training course · ChatGPT · Recruiting

ChatGPT for Recruiters

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

“ChatGPT for Recruiters” is a hands-on course for roles such as Recruiters and talent acquisition managers, Sourcers and HR generalists with recruiting responsibility. Rather than learning ChatGPT in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Recruiting.

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.

With talent shortages in many fields, recruiting has become a key business function: candidates must be found, convinced and guided quickly through the process. Generative AI supports recruiters at many points of the candidate journey. AI assistants write job ads that speak to the target group, build search strings for active sourcing, draft personal outreach messages, prepare structured interview guides and summarise interview notes. Automation handles scheduling, acknowledgements and status updates for applicants. At the same time, recruiting is a particularly sensitive area: selection decisions must be non-discriminatory and transparent, and AI systems used to screen candidates face strict requirements. Using AI for communication, structure and efficiency while keeping selection in human hands improves both candidate experience and time to hire.

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?

  • Recruiters and talent acquisition managers
  • Sourcers
  • HR generalists with recruiting responsibility
  • Employer branding leads
  • Recruitment consultants and staffing agencies

Typical challenges we address

  • Finding and approaching suitable candidates in tight labour markets
  • Writing job ads that genuinely reach the target group
  • Running fast application processes with a good candidate experience
  • Making fair, structured and legally sound selection decisions

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 targeted job ads, sourcing strategies and outreach messages with AI.
  • Structure selection processes with AI-supported guides and improve the candidate experience.
  • Use AI in recruiting in line with anti-discrimination law, the GDPR and the EU AI Act.

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: Recruiting
  • Job ad optimisation
  • Active sourcing strategies
  • Personal outreach
  • Structured interview guides
  • Candidate communication
  • Recruiting metrics analysis
Module 7 Data protection, quality & transfer to daily work
  • Selection processes must comply with anti-discrimination law such as the German General Equal Treatment Act (AGG); AI must not disadvantage people based on age, gender or origin. Applicant data is protected by the GDPR, solely automated rejections are not permitted under Article 22 GDPR, and AI systems for screening and selecting candidates are 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

Job ad optimisation

An AI assistant turns the role profile and team information into an inclusive job ad tailored to the target group, checks it for gender-neutral language and unnecessary barriers and creates variants for different channels.

Active sourcing strategies

AI builds Boolean search strings, alternative job titles and relevant skills for professional networks and job boards and suggests target companies and communities for direct approach.

Personal outreach

Based on the public profile and the role, AI drafts individual contact messages and follow-ups that make the specific value of the position clear to the person.

Structured interview guides

AI creates competency-based interview questions, rating anchors and case exercises for a role, so that all candidates are assessed against the same criteria.

Candidate communication

Automations send acknowledgements, scheduling proposals and status updates, while AI drafts respectful rejections and offers that recruiters review before sending.

Recruiting metrics analysis

Applicant tracking system exports are analysed for time to hire, channel performance and drop-off rates, bottlenecks identified and improvements proposed.

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 recruiting or talent acquisition and know your organisation's hiring process.

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

Selection processes must comply with anti-discrimination law such as the German General Equal Treatment Act (AGG); AI must not disadvantage people based on age, gender or origin. Applicant data is protected by the GDPR, solely automated rejections are not permitted under Article 22 GDPR, and AI systems for screening and selecting candidates are high-risk under the EU AI Act.

Suggested dates

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

  • Thu, 26 November 2026 Online Request
  • Mon, 7 December 2026 Bremen Request
  • Thu, 7 January 2027 Online Request
  • Thu, 14 January 2027 Salzburg Request
  • Wed, 20 January 2027 Online Request
  • Fri, 5 February 2027 Kaiserslautern 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.

May AI pre-screen applications?

Systems that filter or rank applications are classified as high-risk AI under the EU AI Act, with extensive obligations. The GDPR also prohibits solely automated rejections. The course therefore focuses on AI for communication, structure and preparation, while screening and decisions remain with people.

How do we avoid discrimination by AI?

Language models can reproduce biases from their training data, for example in job ad wording. Check outputs specifically for protected characteristics, use structured criteria and never enter sensitive data into AI tools. We practise concrete review questions that you can adopt in your process.

How much does “ChatGPT for Recruiters” 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.

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