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}catch(e){} })(); (function() { 'use strict'; var parentSelector = '.menu-item.wpml-ls-current-language.menu-item-has-children'; function toggleSubmenu(link, forceClose) { var isExpanded = link.getAttribute('aria-expanded') === 'true'; if (forceClose || isExpanded) { link.setAttribute('aria-expanded', 'false'); } else { link.setAttribute('aria-expanded', 'true'); } } function handleKeydown(e) { var key = e.key || e.keyCode; if (key === 'Enter' || key === ' ' || key === 13 || key === 32) { e.preventDefault(); toggleSubmenu(this); } else if (key === 'Escape' || key === 'Esc' || key === 27) { if (this.getAttribute('aria-expanded') === 'true') { e.preventDefault(); toggleSubmenu(this, true); } } } function handleBlur(e) { var link = this; var parent = link.closest(parentSelector); if (!parent) return; setTimeout(function() { if (!parent.contains(document.activeElement)) { toggleSubmenu(link, true); } }, 100); } function init() { var parents = document.querySelectorAll(parentSelector); for (var i = 0; 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Each session will take place even if only one person is registered (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.
By the end, each participant will be able to :
Because each participant has a unique background and expectations, a preliminary interview with our expert allows us to precisely identify their objectives, level and professional challenges.
This enables us to tailor the training content to ensure relevant and personalised learning.
Training Course for HR managers, recruiters, consultants, career managers, and anyone in charge of human resources strategy within a company.
The most relevant AI tools for HR teams in 2027 include Microsoft Copilot for HR workflows in Microsoft 365, ChatGPT and Claude for drafting and analysis, dedicated platforms like HireVue, Eightfold, and Beamery for talent acquisition, and Workday or SAP SuccessFactors AI add-ons for analytics. The right choice depends on company size, existing HR stack, and GDPR / AI Act compliance posture. MFE-IT trains HR professionals on selecting AI tools matched to their concrete needs.
Yes, and it’s already widespread: AI assists with job description writing, candidate screening, interview question generation, onboarding personalization, employee survey analysis, learning recommendations, and policy drafting. EU regulation (AI Act, GDPR) requires that high-risk uses such as automated CV ranking remain under human oversight. MFE-IT teaches participants how to deploy AI in HR responsibly, balancing productivity gains with legal and ethical safeguards.
The “30% rule” is a practical heuristic suggesting AI should handle around 30% of routine HR tasks (drafting, summarizing, data extraction), leaving 70% for human judgment on hiring decisions, performance reviews, and sensitive employee relations. It reflects a hybrid model where AI augments rather than replaces HR professionals. The MFE-IT AI for HR training covers concrete task-mapping frameworks to apply this principle inside your own organization.
AI will reshape rather than eliminate HR roles: routine screening, scheduling, and report generation are increasingly automated, freeing HR professionals to focus on strategic work — talent development, culture, change management, and employee experience. New skills in prompt engineering, AI tool selection, and AI ethics are becoming core to the profession. Through MFE-IT’s hands-on training, learners master the AI skill set that future-proofs their HR career.