Automated Recruitment and Screening Training Course Using Artificial Intelligence Tools

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Automated Recruitment and Screening Training Course Using Artificial Intelligence Tools
Duration One Week
Price £4100.00
Language English/Arabic

In a world witnessing rapid digital transformations, modern organizations increasingly need to adopt smart technologies that support operational processes and enhance human resources, especially in recruitment—the gateway to building strong teams capable of supporting organizational strategies and achieving objectives. With rising competition for top talent and increasing application volumes, automation and artificial intelligence (AI) have become essential tools that transform how candidates are screened, selected, and evaluated.

Dubai Premier Training Centre offers a professional course in AI-Powered Recruitment & Screening, designed to equip participants with the latest intelligent techniques that form the backbone of modern recruitment operations.

This course explores the growing role of AI in reading resumes, assessing candidate skills, analyzing video interviews, predicting future performance, and improving hiring quality through machine learning algorithms and predictive analytics. Participants will learn to transform traditional recruitment processes into data-driven, accurate, and efficient workflows.

The course also emphasizes the balance between technology and human expertise, showing HR specialists and managers how AI tools can enhance hiring decisions, reduce human bias, and achieve professional excellence in candidate management and recruitment experience. Ethical and governance aspects are also covered, with global best practices to ensure responsible use of AI technologies.

Course Objective

Participants will gain comprehensive skills in automated recruitment and AI-driven screening, including:

  • Understanding the concepts of automated recruitment and AI’s role in talent acquisition.

  • Mastering smart ATS systems and resume analysis tools.

  • Conducting intelligent digital interviews using voice and video analytics.

  • Applying predictive analytics to forecast employee performance and suitability.

  • Using data to support hiring decisions and build efficient automated workflows.

  • Enhancing hiring quality and reducing turnover with smart tools.

  • Assessing algorithmic bias risks and understanding ethical and legal compliance.

  • Developing HR proficiency in AI tools for practical and professional use.

  • Hands-on experience with globally recognized AI recruitment tools.

  • Designing a fully automated, AI-powered recruitment system.

Target Audience

This course is suitable for:

  • Recruitment and talent acquisition specialists.

  • HR professionals and employee relations officers.

  • Managers and supervisors responsible for hiring and interviews.

  • Organizations aiming to adopt AI-powered recruitment systems.

  • Consultants and business development experts improving talent acquisition.

  • Individuals seeking AI HR tools for career growth.

  • HR and IT students seeking practical AI recruitment expertise.

  • Entrepreneurs and startup founders building efficient hiring systems.

Course Module

1. Automated Recruitment & AI in Talent Acquisition

  • Introduction to automated recruitment and its impact on modern workplaces.

  • Comparison between traditional and automated recruitment.

  • How AI improves hiring outcomes and reduces human errors.

  • Automation’s effect on speed, candidate experience, and operational costs.

  • Automation throughout the recruitment cycle from job posting to hiring.

2. AI Tools for Resume Analysis & Candidate Screening

  • Using Natural Language Processing (NLP) for resume reading.

  • Automated skill and experience evaluation through keywords and patterns.

  • Machine learning algorithms to identify the most suitable candidates.

  • Smart screening tools to accurately reject irrelevant resumes.

  • Methods to validate screening accuracy and reduce false rejections.

3. AI-Powered Applicant Tracking Systems (ATS)

  • Overview of ATS and its role in digital recruitment.

  • Integrating AI to enhance accuracy and efficiency.

  • AI Matching Algorithms for improved candidate-job alignment.

  • Automating candidate communication and follow-up.

  • Key performance indicators for effective system monitoring.

4. Smart Interviews & Video Analytics

  • Conducting automated digital interviews without human intervention.

  • Analyzing body language, tone, and emotions with AI algorithms.

  • Adaptive questioning based on candidate responses.

  • Using AI to evaluate personality and behavioral competencies.

  • Ethical and legal considerations in video analysis.

5. Predictive Analytics in Recruitment

  • Building predictive models using historical data.

  • Forecasting candidate job performance before hiring.

  • Measuring alignment with organizational culture using AI.

  • Leveraging Big Data for higher prediction accuracy.

  • Understanding limitations and ensuring reliability of predictive analytics.

6. Benefits of AI-Powered Recruitment

  • Faster recruitment and reduced time-to-hire.

  • Improved hiring quality and lower turnover.

  • Minimized personal biases and fairer candidate evaluation.

  • Operational efficiency and reduced wasted human effort.

  • Professional and seamless candidate experience to attract top talent.

7. Challenges & Ethical Considerations

  • Algorithmic bias risks and their impact on hiring quality.

  • Compliance with data protection regulations.

  • Governance frameworks for AI recruitment tools.

  • Transparency and fairness responsibilities.

  • Legal and ethical limits for video and voice analysis.

8. HR Skills in a Smart Recruitment Environment

  • Understanding AI concepts and applications.

  • Operating ATS and analytical tools.

  • Interpreting data and making evidence-based decisions.

  • Designing flexible digital recruitment processes.

  • Promoting continuous learning to keep pace with HR digital transformation.