Training: AI in Recruitment
Level
BeginnerDuration
8h / 1 dayDate
Individually arrangedPrice
Individually arrangedTraining: AI in Recruitment
AI in recruitment — the future of talent acquisition. Recruitment in the era of artificial intelligence is reaching a whole new level. Our training “AI in Recruitment” is a practical workshop where you will learn how to use the latest tools and strategies to reach the right candidates faster, improve hiring decisions, and create a better candidate experience. Imagine a recruitment process where AI generates job postings in seconds, searches massive candidate databases, personalizes communication, and even supports negotiations. This is not a vision of the future — this is the standard you can implement today.
What will you learn?
- Understand the capabilities of AI in recruitment — explore language models and applications supporting recruitment processes
- Configure and effectively use AI tools: ATS, CRM, sourcing plugins, integrations, privacy settings
- Create effective recruitment prompts — from basic to advanced techniques minimizing errors
- Automate key recruitment stages — from job postings to candidate communication and reporting
- Apply AI in sourcing and candidate analysis — reducing time-to-hire and improving candidate selection accuracy
- Build AI agents supporting recruitment in no-code environments and knowledge-based systems
- Design and enhance candidate experience (CX) with personalization and opinion analysis
- Analyze HR data and recruitment KPIs to make data-driven decisions
- Implement AI responsibly — understanding technological, legal, and ethical risks and opportunities
What modern AI-based recruitment tools can do
- Analyze CVs and candidate profiles
- Create job descriptions and postings
- Automate candidate communication and feedback
- Support recruiters in direct search and sourcing
- Build intelligent HR knowledge bases
- Predict job fit and employee retention risks
Who is this training for?
AI/ML developers and engineers in the healthcare sector-
AI system architects
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Compliance and regulatory specialists
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Product owners responsible for developing AI-based medical systems
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QA/Validation teams in MedTech companies
Training Program
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Module 1 – Introduction to AI in Recruitment
- What AI is and how it supports HR processes
- Overview of the most effective tools: ChatGPT, Gemini, Claude
- Workshop: functions and configuration of tools
- Workshop: prompt engineering basics for recruiters
- How to avoid hallucinations? — best practices and testing AI answers
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Module 2a – Job Descriptions and Postings
- Workshop: automated job description and posting generation (ChatGPT, Gemini, Grok, Claude)
- Workshop: analyzing candidate documents against job requirements
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Module 2b – Candidate Sourcing and Communication
- Workshop: how GenAI supports direct search and sourcing
- Workshop: personalized communication and feedback with AI assistance
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Module 2c – Reports and Recruitment Summaries
- Workshop: generating recruitment reports and candidate analyses (ChatGPT, Gemini, Claude, Grok)
- Workshop: interview summaries and candidate shortlists
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Module 2d – Interviews and Simulations
- Workshop: creating interview questions and scenarios (Google NotebookLM)
- Workshop: AI-supported interview simulations
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Module 3 – Building AI Agents for Recruitment
- What is an AI agent and how is it different from a simple chatbot?
- Workshop: building AI agents for recruitment processes in GPTs, Gems, n8n, Make
- Teaching the agent with company-specific knowledge (RAG – Retrieval-Augmented Generation)
- Review of ready-to-use market tools (e.g., PeopleGPT)
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Module 4 – Employer Branding and Candidate Experience
- Workshop: designing EB and EVP strategies with AI support
- Workshop: AI in creating EB content (posts, graphics, case stories) with Gemini 2.5 Flash, ChatGPT, Grok, MidJourney
- Workshop: analyzing online employer reviews and preparing corrective actions (Brand24, ChatBeat)
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Module 5 – Strategic HR and Recruitment Analytics
- Automating recruitment reporting and KPI analysis (Gemini, ChatGPT, Grok, Claude)
- Searching and analyzing labor market data
- Designing career paths and L&D strategies with AI
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Module 6 – Law, Ethics & Organizational Challenges
- Legal aspects — AI Act, GDPR in recruitment
- Bias and ethics — avoiding unwanted bias in recruitment processes
- Organizational challenges of implementing AI in HR
- Wrap-up and Q&A
