In an environment where top talent defines success, artificial intelligence is transforming how organizations source, assess, and secure candidates. This immersive course empowers HR leaders to deploy intelligent candidate-matching algorithms, bias-reducing screening tools, and data-driven sourcing strategies. Participants will explore real-world systems from HireVue, Pymetrics, and Eightfold, learning to optimize pipelines with predictive fit, ensure inclusive hiring, and leverage automation for efficiency. Through hands-on labs, case studies, and ethical frameworks, attendees will design AI-augmented talent acquisition strategies that deliver speed, fairness, and strategic advantage.

TRAINING TOPICS

• AI-driven candidate sourcing and resume parsing

• Predictive fit models for quality-of-hire forecasting

• Bias mitigation in automated screening systems

• Gamified assessments and neuroscience matching platforms

• Real-time engagement analytics with pipeline tracking

• Chatbot-based outreach and interview scheduling

• Video interview analysis and emotion detection

• Skills ontology and internal mobility matching

• Metrics and dashboards for recruitment performance

• Ethical and transparent AI hiring frameworks

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO

• Map candidate-grade fit using AI algorithms

• Deploy automated sourcing with inclusive outreach

• Apply predictive analytics to forecast hire quality

• Design bias-safe screening and assessment pipelines

• Use chatbots and video tools to scale candidate engagement

• Integrate internal talent pools using skills-matching AI

• Build recruitment dashboards for real-time insights

• Embed ethical and transparent governance in hiring

TRAINING IS TAILORED TO

• Talent acquisition and recruitment leaders

• HR Business Partners focused on staffing strategy

• HR analytics and workforce planning professionals

• Diversity & inclusion practitioners in hiring

• Heads of sourcing, employer branding, and TA ops

TRAINING METHODOLOGY

This interactive program blends hands-on AI tool demonstrations, resume-matching and video interview labs, sourcing strategy simulations, and analytics dashboards. Attendees will collaborate in case-driven workshops, build candidate-fit models, run bias audits, and design chatbots for outreach. Each module includes ethical hiring check-ins. By course end, participants will craft a prototype AI-powered talent acquisition framework grounded in business outcomes and compliance.

Day One: Foundations of AI in Talent Acquisition

• Role of AI in modern recruitment

• Resume parsing and NLP-powered sourcing pipelines

• Tools: Eightfold, Entelo, SmashFly

• Exercise: Build candidate database from job criteria

• Peer review: Sourcing funnel design

Day Two: Predictive Fit & Quality of Hire Forecasting

• Models connecting skills, culture, performance

• Tools: Pymetrics, HireVue assessments

• Lab: Train a predictive fit model for a real role

• Discussion: Impact of forecast accuracy

Day Three: Bias Reduction & Fair Screening

• Sources of algorithmic bias in hiring AI

• Tools & techniques for bias audits and mitigation

• Activity: Evaluate and correct screening JS filters

• Ethical framework design for AI-based hiring

Day Four: Candidate Engagement & Interview AI

• Chatbots and auto-scheduling workflows

• Video interview analysis: tone, emotion, language

• Tools: Mya, HireVue, Talview

• Simulation: Run a virtual AI-driven interview

• Reflection: Balancing automation and human warmth

Day Five: Analytics, Internal Mobility & Governance

• Metrics: time-to-hire, cost, diversity, source ROI

• Matching internal skills for career mobility

• Tools: Visier, Phenom, Beamery

• Capstone: Design an end-to-end AI talent acquisition blueprint

• Roadmap: Implementation, governance, continuous optimization