Training course · Google Gemini · Recruiting

Google Gemini for Recruiters

Make productive use of Google Gemini and Gemini in Workspace: Docs, Sheets, Gmail, Meet, custom Gems and NotebookLM for your sources.

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

“Google Gemini 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 Google Gemini in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Recruiting.

For organisations running on Google Workspace, Gemini is the natural AI assistant: it is available as a standalone app and is also built directly into Gmail, Docs, Sheets, Slides, Drive and Meet. In this practical day you learn to combine both access points deliberately. You summarise email threads and draft replies, create document drafts based on existing files in Drive, structure and analyse spreadsheets in Sheets and have Meet take meeting notes automatically – always with a focus on your own day-to-day workflows.

You also build your own Gems: specialised assistants with fixed instructions and knowledge files that standardise recurring tasks across the team. With Deep Research you produce well-founded research reports, and you use NotebookLM as a source-grounded workspace that answers only from your own documents and cites the relevant passages. A dedicated module covers data protection and administration in Workspace environments. You leave with tested prompts, a working Gem and a clear picture of which Google tool suits which task.

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 use Gemini in Gmail, Docs, Sheets, Slides and Meet for your recurring tasks.
  • You write prompts that bring existing Drive files and emails into the context.
  • You build a custom Gem and share it with your team.
  • You work source-grounded in NotebookLM and obtain referenced answers from your own documents.
  • 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 Gemini fundamentals and effective prompts
  • The Gemini app and Gemini in Workspace: access points and use cases
  • Prompts with task, context, format and references to Drive files
  • Web search, Deep Research and checking sources
  • Limitations, hallucinations and critical evaluation of output
Module 2 Gmail, Docs and Slides
  • Summarising email threads and drafting context-aware replies
  • Drafting, rewriting and tailoring documents in Docs
  • Pulling in and combining content from Drive files
  • Creating presentation content and images in Slides
Module 3 Sheets and Meet
  • Structuring tables, generating formulas and cleaning data
  • Analyses, summaries and charts in Sheets
  • Letting Meet take meeting notes automatically
  • Deriving action items and decisions from meeting notes
Module 4 Gems and NotebookLM
  • Creating custom Gems with instructions and knowledge files
  • Testing, improving and sharing Gems with the team
  • NotebookLM as a source-grounded workspace for your own documents
  • Generating summaries, study aids and audio overviews from sources
Module 5 Data protection, administration and rollout
  • Privacy commitments for Workspace customers versus personal accounts
  • Drive sharing settings and how they affect Gemini results
  • Handling personal and confidential data in line with GDPR
  • Usage policies and quality assurance within the team
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 everyday use of Google Workspace (Gmail, Drive, Docs, Sheets); no prior AI knowledge is required. 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 Google Workspace account with Gemini features enabled; alternatively a Google account for the Gemini app and NotebookLM.

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.

  • Wed, 25 November 2026 Online Request
  • Wed, 2 December 2026 Augsburg Request
  • Mon, 14 December 2026 Online Request
  • Thu, 14 January 2027 Online Request
  • Fri, 29 January 2027 Kaiserslautern Request
  • Wed, 10 February 2027 Online Request

Frequently asked questions

What is the difference between the Gemini app and Gemini in Workspace?

The Gemini app is a standalone chat assistant for research, writing and analysis. Gemini in Workspace works directly inside Gmail, Docs, Sheets, Slides and Meet and can draw on your emails and Drive files. In practice they complement each other: the app for open questions, the integrated version for work on specific documents.

Why would I use NotebookLM in addition to Gemini?

NotebookLM restricts its answers to the sources you upload – policies, studies or project files, for example – and points to the relevant passages. This reduces hallucinations and works well for getting up to speed on a topic, building internal knowledge collections or preparing training material. Gemini is broader in scope and can also draw on the web.

Is my Workspace data used to train Gemini?

For Google Workspace customers, Google commits that content from Gmail, Drive and other services is not used to train models outside your domain without permission. Different rules apply to personal accounts. Either way, GDPR and your internal policies remain decisive – in the course we review the relevant settings together.

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 “Google Gemini 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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