Most HR teams are not short on candidates or data — they are short on time. Screening hundreds of CVs, drafting job descriptions, scheduling interviews and chasing workforce reports eats up the hours that should go to strategy, culture and retention. This is precisely the gap that super intelligence is being asked to close across recruitment and HR functions.

The AI in Recruitment and HR training course, delivered by Arab British Fellowship Training Academy, gives HR professionals a practical, business-focused way to evaluate and apply AI across sourcing, screening, candidate communication, workforce planning and recruitment reporting — without losing sight of governance, fairness and human judgement.

Generative AI is treated as a working tool throughout the programme: drafting job descriptions, candidate messages, HR documentation and interview materials, always paired with a discussion of accuracy, consistency and responsible use. Recruitment analytics is positioned the same way — as a way to see where hiring pipelines slow down and where decisions can be backed by evidence rather than instinct.

Suitable for organisations expanding their workforce, modernising HR operations or simply trying to keep pace with digital transformation, the course provides a structured way to bring AI into HR without losing control of governance, candidate experience or strategic workforce outcomes.

By completing this programme, participants will be able to:

• Identify where AI genuinely improves sourcing, screening, interviewing and candidate engagement.
• Use HR automation to reduce repetitive administrative and recruitment work.
• Apply generative AI to job descriptions, candidate communication and HR documentation responsibly.
• Evaluate HR technology solutions against organisational requirements and workforce priorities.
• Use recruitment analytics to track pipeline performance, bottlenecks and hiring outcomes.
• Support digital HR transformation through structured, phased AI adoption.
• Recognise risks in automated recruitment decisions, including bias, and apply appropriate safeguards.
• Build governance practices for responsible and accountable AI use in HR.
• Apply AI to workforce planning, talent mobility and succession considerations.
• Develop a business case for AI adoption that HR leaders and executives can act on.

Target Audience

This course is for anyone shaping how their organisation hires, manages or plans its workforce — and anyone who needs to evaluate what AI can realistically do for that work.

• HR Directors, HR Managers and HR Business Partners responsible for workforce strategy.
• Recruitment and Talent Acquisition Managers modernising hiring processes.
• Talent Management, Workforce Planning and People & Culture professionals.
• HR Technology and Digital HR leaders driving system and process change.
• Learning and Development Managers involved in AI-enabled workforce initiatives.
• Senior executives and business leaders assessing the strategic value of AI in HR.
• Consultants supporting recruitment and HR transformation projects.

Module 1: Why AI Is Reshaping HR and Recruitment Right Now

• Business drivers behind AI adoption in HR departments.
• Where AI genuinely improves recruitment productivity and decision-making.
• Strategic considerations for integrating AI into existing HR operating models.

Module 2: Finding and Screening Talent with AI

• AI-supported sourcing, candidate identification and pipeline management.
• Automated screening, profile analysis and job matching.
• Applications in high-volume and specialised recruitment.

Module 3: Cutting the Busywork — HR Automation

• Identifying repetitive HR activities suitable for automation.
• Automating scheduling, candidate communication and workflow processes.
• Measuring productivity gains from automation.

Module 4: Generative AI for HR Content and Communication

• Job descriptions, candidate messages and internal HR documentation.
• Supporting interview preparation and recruitment workflows.
• Managing accuracy, consistency, confidentiality and governance.

Module 5: Making the Technology Fit — HR Tech and Digital Transformation

• Integrating AI capabilities with existing HR systems.
• Evaluating AI-enabled HR platforms against organisational readiness.
• Managing implementation across HR and business functions.

Module 6: Reading the Numbers — Recruitment Analytics and Decision-Making

• Using workforce data to support recruitment strategy.
• Identifying bottlenecks and inefficiencies in the pipeline.
• Building meaningful recruitment performance indicators.

Module 7: Candidate Experience and Workforce Planning in the AI Era

• Improving candidate journeys while protecting employer brand.
• Balancing automation with human involvement in recruitment.
• Applying AI to skills analysis, talent mobility and succession planning.

Module 8: Governance, Risk and Rolling AI Out Responsibly

• Managing risk, bias and fairness in automated recruitment decisions.
• Protecting candidate and employee information.
• Building an implementation roadmap, ROI measures and a sustainable AI-enabled HR framework.