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HR-019 Human Resources and Talent Development
PROGRAMME BROCHURE

AI in Human Resources and Talent Management

Five days of practical AI application, governance and implementation for Human Resources And Talent Management.

Duration 5 days
Level Professional
Programme HR-019
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
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Programme Overview

This five-day Kaizen European Academy programme is specifically about AI in Human Resources and Talent Management; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Human Resources And Talent Management, design practical workflows, evaluate tools and outputs, manage governance and risk, and build an implementation roadmap supported by hands-on exercises.

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Learning Objectives

Explain the AI, generative AI and automation concepts most relevant to Human Resources And Talent Management.
Identify and prioritize high-value AI use cases in Human Resources And Talent Management.
Design practical human-AI workflows and validate AI outputs for Human Resources And Talent Management.
Manage privacy, bias, security, governance and human-oversight risks when using AI in Human Resources And Talent Management.
Build a practical AI pilot and implementation roadmap for Human Resources And Talent Management.

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve ai in human resources and talent management or who need to build practical capability in this area.

Programme Methodology

Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.

Learning Outcomes

Explain the AI, generative AI and automation concepts most relevant to Human Resources And Talent Management. Identify and prioritize high-value AI use cases in Human Resources And Talent Management. Design practical human-AI workflows and validate AI outputs for Human Resources And Talent Management. Manage privacy, bias, security, governance and human-oversight risks when using AI in Human Resources And Talent Management. Build a practical AI pilot and implementation roadmap for Human Resources And Talent Management.

Prerequisites

No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.

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Course Outline

Day01

AI Foundations for Human Resources And Talent Management

  • AI capabilities, limitations and business value
  • Machine learning, generative AI and large language model concepts
  • Selecting high-value AI use cases
  • Data requirements and model inputs
Day02

AI Use Cases and Workflow Design in Human Resources And Talent Management

  • Prompt design and interaction patterns
  • Human-AI workflow design
  • AI-assisted analysis and decision support
  • Automation and intelligent agents
Day03

AI Tools, Data and Automation for Human Resources And Talent Management

  • Evaluating accuracy, hallucination and output quality
  • AI governance and accountability
  • Bias, fairness and responsible AI
  • Privacy, confidentiality and information security
Day04

Responsible AI, Risk and Governance in Human Resources And Talent Management

  • Model risk and human oversight
  • AI adoption and change management
  • AI value measurement and ROI
  • Building an AI implementation roadmap
Day05

Applied AI Lab: Human Resources And Talent Management Implementation

  • Vendor and platform evaluation
  • AI policy and acceptable-use controls
  • Practical AI workflow prototyping
  • Scaling AI safely across teams
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What You Will Receive

Programme learning materials
Practical resources and templates where applicable
Kaizen completion certificate
Participant support throughout the learning week
Kaizen European Academy

Executive & Professional Development across selected European destinations.

CONTACT & INFORMATION

Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact