15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
This course is ideal for:
- HR Professionals & Talent Acquisition Specialists looking to optimize hiring strategies with AI.
- Recruitment Agencies & Headhunters who want to enhance sourcing and screening efficiency.
- Hiring Managers & Business Leaders aiming to leverage AI for smarter recruitment decisions.
- HR Tech Enthusiasts & Analysts interested in the future of AI-driven recruitment.
Session Objectives
- Understand AI in Talent Acquisition – Learn how AI is revolutionizing recruitment and its ethical implications.
- Optimize LinkedIn Recruiter for Smart Hiring – Use AI-powered search, automation, and advanced candidate filtering.
- Leverage HireVue for AI-Driven Screening – Implement AI-powered video interviews and predictive hiring models.
- Enhance Candidate Sourcing & Engagement – Utilize AI-driven insights for targeted outreach and engagement.
- Reduce Hiring Bias with AI Tools – Apply data-driven strategies to ensure fair and inclusive hiring.
- Measure & Improve Recruitment ROI – Track AI-based hiring metrics and optimize recruitment performance.
- Implement AI in Recruitment Workflows – Integrate AI-powered solutions into existing hiring processes for efficiency.
About the Course
The rapid advancements in Artificial Intelligence (AI) have transformed talent acquisition, making hiring faster, more efficient, and data-driven. This course provides HR professionals and recruiters with in-depth knowledge of AI-powered hiring tools such as LinkedIn Recruiter and HireVue, enabling them to streamline sourcing, screening, and candidate selection processes. Participants will learn how to leverage AI-driven insights, automated screening, and predictive analytics to make informed hiring decisions, reduce bias, and improve overall recruitment outcomes.
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
• Understanding the role of AI in recruitment
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Subtopic 1.2:
• AI-driven hiring trends and industry insights
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Subtopic 1.3:
• Ethical considerations in AI-powered hiring
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Subtopic 2.1:
• AI-powered candidate search and recommendation engines
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Subtopic 2.2:
• Boolean search vs. AI-driven search in LinkedIn Recruiter
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Subtopic 2.3:
• Automated talent pipelines and predictive hiring
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Subtopic 3.1:
• Optimizing LinkedIn Recruiter for smart hiring
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Subtopic 3.2:
• Advanced search filters and AI-driven talent suggestions
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Subtopic 3.3:
• Managing candidate relationships and engagement
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Subtopic 4.1:
• Introduction to HireVue’s AI-driven video assessments
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Subtopic 4.2:
• Understanding facial recognition and sentiment analysis
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Subtopic 4.3:
• Automating candidate shortlisting with AI
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Subtopic 5.1:
• Using AI to create inclusive and optimized job postings
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Subtopic 5.2:
• Keyword strategies for search engine visibility
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Subtopic 5.3:
• Enhancing employer branding with AI-generated content
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Subtopic 6.1:
• How AI parses resumes and ranks candidates
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Subtopic 6.2:
• Reducing bias with AI-driven screening tools
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Subtopic 6.3:
• Integrating AI resume screening with ATS (Applicant Tracking Systems)
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Subtopic 7.1:
• How predictive analytics improve hiring decisions
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Subtopic 7.2:
• AI-based candidate scoring and ranking systems
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Subtopic 7.3:
• Real-world case studies of predictive hiring
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Subtopic 8.1:
• AI chatbots for scheduling and pre-screening
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Subtopic 8.2:
• Automated skills and personality assessments
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Subtopic 8.3:
• Reducing time-to-hire with AI automation
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Subtopic 9.1:
• How AI analyzes candidate speech and behavior
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Subtopic 9.2:
• Structuring AI-driven interview questions
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Subtopic 9.3:
• Best practices for unbiased AI-assisted interviews
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Subtopic 10.1:
• Addressing ethical concerns in AI-driven hiring
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Subtopic 10.2:
• How AI helps create fair and diverse hiring processes
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Subtopic 10.3:
• Compliance with data privacy and anti-discrimination laws
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Subtopic 11.1:
• AI-driven candidate outreach and messaging
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Subtopic 11.2:
• Personalizing communication with AI chatbots
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Subtopic 11.3:
• AI-based employer branding strategies
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Subtopic 12.1:
• Key performance indicators (KPIs) for AI recruitment
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Subtopic 12.2:
• Data-driven decision-making in hiring
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Subtopic 12.3:
• Optimizing AI recruitment strategies based on analytics
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Subtopic 13.1:
• AI-powered recruitment software and ATS integration
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Subtopic 13.2:
• Workflow automation and process improvement
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Subtopic 13.3:
• Ensuring seamless adoption of AI in recruitment
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Subtopic 14.1:
• Emerging AI innovations in recruitment
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Subtopic 14.2:
• The impact of generative AI on hiring processes
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Subtopic 14.3:
• Preparing for the future of AI-driven talent acquisition
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Subtopic 15.1:
• Hands-on case study using LinkedIn Recruiter & HireVue
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Subtopic 15.2:
• Analyzing AI-driven recruitment success stories
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Subtopic 15.3:
• Developing an AI-powered hiring strategy for an organization
