Smarter Hiring with AI:
Talent Acquisition in the Algorithm Age

Equips HR professionals with cutting-edge AI recruitment strategies to transform talent acquisition and hiring processes.

Course Description:

This comprehensive 2-day training course equips HR professionals with foundational knowledge about AI-powered recruitment approaches. Participants will explore cutting-edge technologies that are transforming talent acquisition—from AI-assisted job posting optimization to candidate sourcing. Through informative demonstrations, real-world case studies, and guided discussions, attendees will gain awareness of AI tools that can deliver measurable improvements in hiring quality and efficiency.

Who Should Attend:

  • HR Managers & Recruiters
  • HR Executives supporting hiring processes
  • Hiring Managers involved in candidate selection
  • Recruitment Operations professionals

Course Objectives:

Knowledge Acquisition:

  • Understand the fundamentals of AI in recruitment and its capabilities
  • Comprehend how AI is transforming the entire recruitment lifecycle
  • Learn about ethical considerations and potential biases in AI recruitment tools

Skills Development:

  • Evaluate and select appropriate AI tools for different recruitment stages
  • Recognize techniques for integrating AI into candidate sourcing and screening
  • Develop awareness of automation possibilities for enhancing employer branding

Practical Application:

  • Assess potential AI applications to optimize job descriptions for better reach
  • Apply ethical frameworks to ensure fair and unbiased candidate selection
  • Identify opportunities for AI-enhanced candidate experience

What will I Learn From it:

  • Save hours on resume screening and shortlisting processes
  • Find better-fit candidates faster through AI-powered matching
  • Improve candidate quality through algorithmic insights
  • Enhance workforce diversity through fair selection tools
  • Elevate employer brand using sophisticated automation tools

Course Outline

01

Understanding AI in Talent Acquisition

  • What is AI? The fundamentals explained for HR professionals
  • The transformation of the traditional recruitment lifecycle
  • Overview of key AI technologies (e.g., machine learning, NLP, predictive analytics)
  • Strategic advantages of AI in modern recruitment
  • Real-world examples of AI adoption in hiring

02

Ethical & Legal Considerations in AI Hiring

  • Addressing algorithmic bias and ethical dilemmas
  • Global and local legal regulations for AI use in hiring
  • Frameworks for fair, transparent, and inclusive recruitment practices
  • Building trust with candidates through ethical AI implementation
  • Case studies of compliance successes and failures

03

Selecting the Right AI Tools for the Hiring Funnel

  • Mapping AI tools to each recruitment stage: sourcing, screening, selection, and onboarding
  • Criteria for evaluating AI recruitment platforms (scalability, integration, ROI)
  • Tool demos and comparison frameworks
  • Real company case studies: what worked and why
  • Cost-benefit analysis for tech investment decisions

04

Smart Sourcing and Job Post Optimization

  • Using AI to enhance job description visibility and SEO
  • NLP-powered job description optimization for inclusivity and clarity
  • Automated sourcing strategies for diverse candidate pipelines
  • Resume parsing and rediscovery tools
  • Identifying the right talent faster using AI

05

Enhancing Candidate Experience Using AI

  • AI chatbots and automated interview scheduling
  • Delivering personalization at scale
  • Fair candidate assessments using AI evaluation tools
  • Maintaining human touch in automated systems
  • Managing candidate data privacy and feedback loops

06

Data-Driven Hiring Decisions

  • Using analytics to improve quality of hire and reduce turnover
  • Predictive hiring: performance and retention forecasting
  • Identifying bottlenecks and improving time-to-fill and cost-per-hire
  • Reporting hiring metrics with AI dashboards
  • Storytelling with data to engage stakeholders

Training Methodology

Expert-Led Sessions – Short lectures introducing key concepts
Live Demonstrations – Real tools and use cases shown in action
Group Discussions – Promote peer learning and diverse insights
Hands-On Exercises – Apply concepts to mock hiring challenges
Guided Worksheets – Capture strategies, tool evaluations, and roadmaps
Capstone Presentation – Final showcase of participant-developed AI hiring plans

Requirement/
pre-requisites:

  • Basic familiarity with recruitment processes
  • Laptop with internet access for hands-on exercises
  • No programming or technical background required
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