Role-Based Programme
RB1440
AI-Powered Recruitment & Talent Acquisition
Smarter Sourcing, Screening & Candidate Engagement
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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how AI can support Recruitment and Talent Acquisition across workforce requisitions, sourcing, screening support, interview preparation, candidate communication, and reporting.
- Explore practical prompting techniques for job descriptions, sourcing strategies, candidate summaries, interview questions, and recruitment communication.
- Apply AI to organise recruitment information, improve candidate-engagement content, structure hiring workflows, and support recruiter productivity.
- Identify opportunities to improve hiring efficiency, communication consistency, sourcing effectiveness, and recruitment visibility.
- Recognise candidate privacy, fairness, bias, confidentiality, employment-policy requirements, and human-review responsibilities when using AI.
Tools covered
Generative AI AssistantsAI-Assisted Job Description CreationCandidate Sourcing SupportResume SummarisationInterview PreparationCandidate CommunicationRecruitment ReportingBasic Workflow Automation
Who should attend
- Talent Acquisition Professionals
- Recruiters
- Recruitment Executives
- Talent Acquisition Specialists
- Sourcing Specialists
- Recruitment Coordinators
- HR Recruiters
- Campus Recruitment Professionals
- Executive Search Professionals
- Recruitment Operations Professionals
- HR Business Partners
- Talent Acquisition Managers
- Recruitment & Talent Acquisition Team Leads
Prerequisites & Participant Readiness
- Basic understanding of recruitment or talent-acquisition activities
- Familiarity with job descriptions, candidate sourcing, resumes, interviews, or hiring workflows is helpful
- Basic computer and office-productivity skills
- No AI or programming knowledge required
- No previous Generative AI experience required
TOC Modules
Concepts
- Understanding Generative AI and its relevance to modern recruitment and talent acquisition
- Identifying AI applications across requisition intake, sourcing, screening support, interviews, communication, and reporting
- Understanding AI assistance versus Recruiter and Hiring Manager judgement
- Recognising hiring decisions that require validated evidence, fair criteria, and human review
Practical activities
- Mapping common Recruitment and Talent Acquisition activities to potential AI applications
- Comparing a traditional recruitment task with an AI-assisted approach
Scenarios
Hiring Requirement to Sourcing & Interview Plan
Hiring Need → AI-Assisted Job Description → Candidate Profile → Sourcing Keywords → Screening Criteria → Interview Questions → Recruiter Review
Participants use AI to convert a sample hiring requirement into a structured recruitment plan while retaining candidate evaluation and selection decisions with authorised recruiters and hiring managers.
Recruitment Pipeline to Candidate Engagement & Hiring Update
Candidate Pipeline → AI-Assisted Summary → Stage Analysis → Bottlenecks → Communication Drafts → Next Actions → Hiring Status Report
Participants use AI to organise sample recruitment-pipeline information, identify operational bottlenecks, prepare candidate communication, and create a concise hiring-status update while retaining all employment decisions with authorised HR stakeholders.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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