About the Course

Human resource functions are increasingly using artificial intelligence to support workforce planning, recruitment, learning, performance management, employee service and people analytics. These applications can improve speed and consistency, but HR decisions also carry significant fairness, privacy and employment-risk implications. Effective use therefore requires strong human oversight and transparent decision processes.

This course provides HR professionals with a practical, non-technical framework for applying AI across the employee lifecycle. It covers workforce analytics, recruitment support, candidate screening governance, AI-enabled learning, performance analytics, employee experience, HR service automation and responsible AI controls. The focus is on augmenting professional judgement rather than replacing accountable HR decision-making.

Participants work with realistic HR scenarios and develop practical tools such as an HR AI use-case matrix, recruitment prompt set, screening-control checklist, employee-service workflow and HR AI implementation plan. The course can be adapted to public-sector, private-sector, NGO or international organization HR environments.

Target Participants

The programme is designed for human resource managers, HR business partners, talent acquisition specialists, learning and development professionals, workforce planners, performance management officers, people analytics teams, employee-relations personnel, HR operations staff and managers responsible for HR digital transformation or workforce capability development.

What You Will Learn

By the end of this course the participants will be able to:

• Assess AI opportunities across the employee lifecycle.
• Apply AI to workforce planning and people analytics tasks.
• Use AI to support recruitment while maintaining human accountability.
• Develop AI-assisted learning and development applications.
• Apply AI to performance and employee-experience analysis.
• Automate appropriate HR service processes.
• Evaluate fairness, privacy and bias risks in HR AI use.
• Develop an HR AI implementation and governance plan.

Course Duration

• Classroom – 5 Days
• Online – 7 Days

Course Outline

AI Foundations for HR

• AI in the employee lifecycle
• Generative AI for HR work
• People analytics applications
• Automation opportunities
• Human decision responsibility

Workforce Planning Analytics

• Workforce data interpretation
• Skills inventory analysis
• Capacity gap identification
• Scenario modelling support
• Workforce planning narratives

AI-Assisted Recruitment

• Job description drafting
• Vacancy communication
• Interview question design
• Candidate communication
• Recruitment workflow support

Talent Screening Governance

• Screening criteria design
• Bias risk identification
• Human review checkpoints
• Documentation requirements
• Fairness monitoring

AI-Enabled Learning

• Learning needs analysis
• Course content drafting
• Personalized learning support
• Assessment question generation
• Learning resource curation

Performance Management Analytics

• Goal-setting support
• Performance data synthesis
• Feedback drafting
• Trend identification
• Development planning

Employee Experience

• Employee survey analysis
• Sentiment interpretation
• Frequently asked questions
• Engagement insight support
• Employee communication

HR Service Automation

• HR helpdesk use cases
• Policy query assistants
• Onboarding workflows
• Routine request automation
• Escalation design

Responsible AI in HR

• Data privacy
• Employment fairness
• Explainability considerations
• Confidentiality controls
• AI usage policy requirements

HR AI Implementation

• Use-case prioritization
• Process redesign
• Stakeholder engagement
• Governance roles
• Implementation roadmap

Practical Outputs

• HR AI use-case matrix
• AI-assisted recruitment toolkit
• Candidate-screening governance checklist
• AI-enabled learning design sample
• HR service automation workflow
• HR AI implementation roadmap

Training Approach

The course combines short concept sessions with HR-specific case analysis, guided tool demonstrations and practical exercises covering recruitment, workforce planning, learning, employee service and performance management. Participants examine both productivity opportunities and the risks created when AI influences people decisions.

Exercises are designed around accountable augmentation: AI can support analysis and drafting, but participants define where human review, documentation, escalation and fairness controls must remain. The final application exercise converts learning into an HR AI roadmap.

Organizational Benefits

• Improved HR productivity across high-volume tasks.
• More consistent recruitment and employee-service workflows.
• Better use of workforce data for planning and development.
• Stronger controls around fairness, privacy and AI-supported people decisions.
• Improved employee communication and service responsiveness.
• A clearer roadmap for responsible HR digital transformation.

Certification

Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.

Tailor-Made Course

This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.