Pideya Learning Academy

AI in Talent Acquisition and Predictive Hiring

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
10 Feb - 14 Feb 2025 Live Online 5 Day 3250
31 Mar - 04 Apr 2025 Live Online 5 Day 3250
12 May - 16 May 2025 Live Online 5 Day 3250
16 Jun - 20 Jun 2025 Live Online 5 Day 3250
21 Jul - 25 Jul 2025 Live Online 5 Day 3250
15 Sep - 19 Sep 2025 Live Online 5 Day 3250
27 Oct - 31 Oct 2025 Live Online 5 Day 3250
24 Nov - 28 Nov 2025 Live Online 5 Day 3250

Course Overview

The talent landscape is undergoing a seismic shift. As industries transform under the weight of digitization, globalization, and shifting workforce dynamics, recruitment strategies must evolve in lockstep. Traditional talent acquisition models—largely manual, time-consuming, and heavily reliant on human intuition—are no longer sufficient to meet the speed, scale, and precision demanded by today’s business environment. In this context, AI in Talent Acquisition and Predictive Hiring emerges as a strategic imperative rather than a mere innovation. To help HR professionals and recruitment leaders thrive in this evolving ecosystem, Pideya Learning Academy introduces a cutting-edge training program that demystifies the application of Artificial Intelligence in modern hiring practices.
As organizations compete to attract the best minds in an increasingly candidate-driven market, the pressure to make data-backed, unbiased, and timely hiring decisions is more critical than ever. A 2024 report by Deloitte revealed that 42% of HR leaders across the globe have already incorporated AI in at least one area of their hiring lifecycle, while LinkedIn reports suggest that companies using AI-powered talent solutions have achieved a 60% reduction in time-to-hire and a 35% improvement in the quality of hire. These transformative results stem from the ability of AI to optimize every stage of recruitment—from sourcing and engagement to evaluation and retention forecasting.
This training will guide participants through the end-to-end integration of AI in talent acquisition, spotlighting areas such as intelligent resume screening, predictive candidate scoring, and skill gap analysis. It explores how machine learning models can anticipate employee performance and retention risks while supporting inclusive and compliant hiring practices. Participants will gain deep insight into natural language processing (NLP) applications for parsing resumes and job descriptions, as well as algorithmic tools used to mitigate bias and increase workforce diversity.
By weaving together real-world examples, strategic frameworks, and ethical considerations, the course provides learners with a comprehensive toolkit to elevate their recruitment strategy. Whether you are navigating large applicant volumes, building scalable hiring systems, or planning for future workforce needs, this course empowers you to act with agility and foresight.
Throughout the training, participants will explore:
The structure and evolution of the AI ecosystem within HR functions
Intelligent sourcing technologies and automated candidate ranking engines
Predictive hiring models that assess future performance and attrition risk
AI-based frameworks for mitigating bias and improving DEI outcomes
Governance protocols and legal boundaries guiding ethical AI usage in recruitment
Data-driven frameworks that optimize decision-making across the talent pipeline
With instruction led by seasoned experts, the program ensures a balance of strategic insight and technical depth—preparing participants to transition from traditional recruiting approaches to intelligent, analytics-enabled hiring. The training design supports all levels of expertise, ensuring relevance for seasoned HR leaders and emerging talent professionals alike.
At the heart of Pideya Learning Academy’s approach lies the belief that AI should serve as an enabler—not a replacement—for human judgment. Thus, this course highlights the responsible implementation of AI, promoting transparency, fairness, and ethical accountability throughout the talent acquisition process. The result is a holistic, future-proof learning experience that aligns recruitment efforts with the evolving realities of workforce planning and business transformation.
By the end of this course, participants will not only understand the “how” of AI implementation in hiring but also the “why” behind every algorithmic decision. They will leave with renewed confidence in their ability to navigate the future of work, armed with the insights and tools necessary to drive high-impact, inclusive, and intelligent talent strategies.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn:
How AI transforms the recruitment lifecycle from sourcing to selection
Techniques for implementing intelligent candidate screening and ranking
Strategies for applying predictive analytics in hiring forecasts
The role of natural language processing (NLP) in resume and job description analysis
How to evaluate and deploy AI-powered tools in recruitment
Methods to identify and correct algorithmic bias in hiring models
Best practices for data governance and compliance in AI-driven HR systems
Frameworks for assessing the ROI of AI adoption in talent functions
How AI supports inclusive hiring and talent pipeline diversification

Personal Benefits

Enhanced career relevance through advanced HR tech competencies
Mastery of AI-driven sourcing, screening, and predictive analytics
Confidence in evaluating and integrating AI tools into HR workflows
Deeper insight into ethical and legal issues surrounding algorithmic hiring
Ability to contribute strategically to data-driven recruitment initiatives

Organisational Benefits

Improved hiring accuracy and reduced recruitment costs
Strengthened employer branding through optimized candidate experience
Better alignment of talent strategies with workforce planning goals
Enhanced diversity and inclusion through bias-aware AI tools
Data-driven decision-making embedded in talent acquisition processes

Who Should Attend

HR and talent acquisition professionals
Recruitment managers and staffing consultants
Workforce planners and organizational development leaders
HR data analysts and people analytics teams
Business leaders and strategists involved in digital HR transformation
Detailed Training

Course Outline

Module 1: Introduction to AI in HR and Recruitment
Overview of AI in human capital management Evolution of recruitment technologies Key terms and tools in AI-driven hiring Understanding the recruitment value chain Market trends and future outlook Regulatory and legal considerations
Module 2: AI for Talent Sourcing and Outreach
Intelligent sourcing platforms Automated candidate engagement tools AI in social media and job portals Passive vs. active candidate profiling AI-based talent pool mapping Outreach timing and response prediction
Module 3: Resume Parsing and Job Matching Algorithms
Natural language processing in resume analysis Keyword extraction and semantic relevance Match scoring models Role fit vs. cultural fit considerations Contextual ranking mechanisms Continuous learning in parsing systems
Module 4: Predictive Hiring and Candidate Scoring
What is predictive hiring? Modeling candidate success predictors AI-based pre-employment assessments Performance likelihood scoring Attrition forecasting and retention likelihood Combining structured and unstructured data
Module 5: Interview Intelligence and Digital Assessments
AI-driven video interview analysis Facial recognition and emotion detection (ethical boundaries) Automated behavioral analysis tools Chatbot-led candidate interaction Predictive communication style mapping Skill validation through AI simulations
Module 6: Diversity, Equity, and Bias Mitigation in AI Hiring
Defining fairness in AI hiring Detecting and correcting algorithmic bias DEI metrics and performance dashboards Inclusive language analysis tools Structured data models for equitable hiring Risk factors and mitigation techniques
Module 7: Data Ethics and Legal Governance in AI Talent Tools
Data privacy laws (GDPR, CCPA, etc.) in AI hiring Transparency and explainability in algorithms Consent and data usage ethics Third-party vendor assessments Risk assessments and audit trails Internal policy frameworks for AI usage
Module 8: Evaluating and Selecting AI Hiring Tools
Vendor landscape and product categories Tool comparison frameworks Integration with HRIS and ATS systems Cost-benefit analysis approaches Pilot testing and phased deployment strategies Continuous improvement via user feedback
Module 9: Strategic Workforce Planning with AI Insights
Talent demand forecasting models Succession planning powered by AI Skill gap identification Talent pipeline health metrics Real-time dashboards and alerts Strategic planning using predictive insights

Have Any Question?

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