11-12-2025, 00:51 -
[center]![[Obrazek: f59700c1a60a3176f2ab9d1f5c6703f7.jpg]](https://i126.fastpic.org/big/2025/1211/f7/f59700c1a60a3176f2ab9d1f5c6703f7.jpg)
Ai In Recruitment & Talent Acquisition | Hiring In 2025
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 47m | Size: 3.13 GB [/center]
Transforming Talent Acquisition: How AI Recruitment Tools & Predictive Analytics Redefine Hiring in the Modern Workforce
What you'll learn
Understand how artificial intelligence transforms recruitment by automating sourcing, screening, and hiring, creating fairer, faster, and smarter processes.
The Students will Learn how predictive hiring models forecast candidate performance, retention, and cultural fit using AI-driven data and behavioral science.
Students will Learn Explore to the recruiter's AI toolkit, including chatbots, gamified assessments, video interviews, and advanced applicant tracking systems.
Students will Learn to Gain insights into global hiring with AI, enabling borderless recruitment, diverse workforce building & access to emerging talent pools.
Students will learn to Identify potential risks, ethical issues, and legal challenges in AI hiring, including GDPR, fairness audits, and candidate trust.
Students will Master recruitment metrics beyond time-to-hire by tracking quality of hire, retention, candidate satisfaction, and cultural alignment.
Students will be Prepared for the future of AI recruitment, learning how human recruiters can collaborate with machines for strategic success.
Requirements
No technical background is required-just curiosity to explore how artificial intelligence is shaping recruitment, hiring strategies, and human resources globally.
An interest in HR, recruitment, or talent management is helpful, but professionals from all industries will benefit from this course.
A basic understanding of digital tools or social platforms like LinkedIn will enhance your learning experience but is not mandatory.
Access to a computer, laptop, or mobile device with internet connectivity is necessary to watch lectures and explore case studies.
Willingness to learn with an open mind, as we explore both benefits and limitations of AI-driven hiring practices.
Desire to stay ahead in the competitive job market by learning the most innovative trends in recruitment technology.
Professionals in small startups or global corporations will equally benefit, as the course covers both lean and large-scale hiring approaches.
Enthusiasm to apply insights practically in workplace situations, recruitment campaigns, or HR strategies for career and organizational growth.
Description
"This course contains the use of artificial intelligence." We combined it with professional expertise, research, and teaching experience. The use of AI allowed us to make the course more concise, accurate, and up-to-date, while ensuring learners get maximum value in minimum time.Recruitment is undergoing one of the biggest transformations in history. A Harvard Business Review study revealed that 80% of employee turnover stems from poor hiring decisions. This is why organizations worldwide are now embracing AI in recruitment and talent acquisition to hire smarter, faster, and fairer than ever before.In this course, you'll discover how AI-powered recruitment tools-including chatbots, predictive analytics, video interviews, gamified assessments, and next-generation applicant tracking systems-are changing how companies find and evaluate talent.You'll learn:How predictive hiring models forecast candidate performance and retention.How AI-generated job ads attract the right talent instantly.How global AI sourcing platforms discover hidden candidates across LinkedIn, GitHub, and Kaggle.How to measure recruitment success beyond time-to-hire, focusing on quality, retention, and cultural fit.Real-world case studies bring these lessons to life:Unilever cut hiring time by 75% with AI-driven assessments.Hilton Hotels reduced turnover by 40% using predictive hiring models.Google abandoned brainteasers and adopted AI-driven analytics for better hiring accuracy.At the same time, we'll look at the dark side of AI hiring-bias, privacy, and ethics. From Amazon's failed AI recruiter to new laws like GDPR, EEOC guidance, and New York City's bias audit law, you'll see why fairness and transparency are critical in AI-driven recruitment.This course is short, practical, and packed with insights. In just two hours, you'll understand the top AI recruitment tools of 2025-from LinkedIn AI to HireVue -and how to integrate them with human judgment for strategic hiring success.By enrolling, you'll gain not just knowledge of AI tools, but a vision of the future of recruitment. Whether you're an HR professional, recruiter, business leader, or student, this course will help you stay ahead in the fast-changing world of talent acquisition.Join today to explore how AI-responsibly used-can transform recruitment for the better.
Who this course is for
HR professionals seeking to understand and apply artificial intelligence in recruitment to improve efficiency, fairness, and long-term hiring success.
Recruiters looking to move beyond traditional methods and master modern tools like chatbots, predictive analytics, and AI-driven sourcing platforms.
Business owners and startup founders who want lean, cost-effective recruitment strategies that compete with larger corporations in talent acquisition.
Students or graduates interested in HR, business, or psychology, wanting to gain future-ready skills in recruitment technology and workforce trends.
Managers and team leaders responsible for building teams and needing insights into AI's role in predicting cultural fit and retention.
Talent acquisition specialists aiming to expand global reach, source passive candidates, and use AI for remote workforce building.
Tech professionals and data enthusiasts curious about how machine learning and natural language processing are transforming HR practices.
Anyone interested in the future of work, recruitment ethics, and how AI can make hiring smarter, fairer, and more impactful.
![[Obrazek: f59700c1a60a3176f2ab9d1f5c6703f7.jpg]](https://i126.fastpic.org/big/2025/1211/f7/f59700c1a60a3176f2ab9d1f5c6703f7.jpg)
Ai In Recruitment & Talent Acquisition | Hiring In 2025
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 47m | Size: 3.13 GB [/center]
Transforming Talent Acquisition: How AI Recruitment Tools & Predictive Analytics Redefine Hiring in the Modern Workforce
What you'll learn
Understand how artificial intelligence transforms recruitment by automating sourcing, screening, and hiring, creating fairer, faster, and smarter processes.
The Students will Learn how predictive hiring models forecast candidate performance, retention, and cultural fit using AI-driven data and behavioral science.
Students will Learn Explore to the recruiter's AI toolkit, including chatbots, gamified assessments, video interviews, and advanced applicant tracking systems.
Students will Learn to Gain insights into global hiring with AI, enabling borderless recruitment, diverse workforce building & access to emerging talent pools.
Students will learn to Identify potential risks, ethical issues, and legal challenges in AI hiring, including GDPR, fairness audits, and candidate trust.
Students will Master recruitment metrics beyond time-to-hire by tracking quality of hire, retention, candidate satisfaction, and cultural alignment.
Students will be Prepared for the future of AI recruitment, learning how human recruiters can collaborate with machines for strategic success.
Requirements
No technical background is required-just curiosity to explore how artificial intelligence is shaping recruitment, hiring strategies, and human resources globally.
An interest in HR, recruitment, or talent management is helpful, but professionals from all industries will benefit from this course.
A basic understanding of digital tools or social platforms like LinkedIn will enhance your learning experience but is not mandatory.
Access to a computer, laptop, or mobile device with internet connectivity is necessary to watch lectures and explore case studies.
Willingness to learn with an open mind, as we explore both benefits and limitations of AI-driven hiring practices.
Desire to stay ahead in the competitive job market by learning the most innovative trends in recruitment technology.
Professionals in small startups or global corporations will equally benefit, as the course covers both lean and large-scale hiring approaches.
Enthusiasm to apply insights practically in workplace situations, recruitment campaigns, or HR strategies for career and organizational growth.
Description
"This course contains the use of artificial intelligence." We combined it with professional expertise, research, and teaching experience. The use of AI allowed us to make the course more concise, accurate, and up-to-date, while ensuring learners get maximum value in minimum time.Recruitment is undergoing one of the biggest transformations in history. A Harvard Business Review study revealed that 80% of employee turnover stems from poor hiring decisions. This is why organizations worldwide are now embracing AI in recruitment and talent acquisition to hire smarter, faster, and fairer than ever before.In this course, you'll discover how AI-powered recruitment tools-including chatbots, predictive analytics, video interviews, gamified assessments, and next-generation applicant tracking systems-are changing how companies find and evaluate talent.You'll learn:How predictive hiring models forecast candidate performance and retention.How AI-generated job ads attract the right talent instantly.How global AI sourcing platforms discover hidden candidates across LinkedIn, GitHub, and Kaggle.How to measure recruitment success beyond time-to-hire, focusing on quality, retention, and cultural fit.Real-world case studies bring these lessons to life:Unilever cut hiring time by 75% with AI-driven assessments.Hilton Hotels reduced turnover by 40% using predictive hiring models.Google abandoned brainteasers and adopted AI-driven analytics for better hiring accuracy.At the same time, we'll look at the dark side of AI hiring-bias, privacy, and ethics. From Amazon's failed AI recruiter to new laws like GDPR, EEOC guidance, and New York City's bias audit law, you'll see why fairness and transparency are critical in AI-driven recruitment.This course is short, practical, and packed with insights. In just two hours, you'll understand the top AI recruitment tools of 2025-from LinkedIn AI to HireVue -and how to integrate them with human judgment for strategic hiring success.By enrolling, you'll gain not just knowledge of AI tools, but a vision of the future of recruitment. Whether you're an HR professional, recruiter, business leader, or student, this course will help you stay ahead in the fast-changing world of talent acquisition.Join today to explore how AI-responsibly used-can transform recruitment for the better.
Who this course is for
HR professionals seeking to understand and apply artificial intelligence in recruitment to improve efficiency, fairness, and long-term hiring success.
Recruiters looking to move beyond traditional methods and master modern tools like chatbots, predictive analytics, and AI-driven sourcing platforms.
Business owners and startup founders who want lean, cost-effective recruitment strategies that compete with larger corporations in talent acquisition.
Students or graduates interested in HR, business, or psychology, wanting to gain future-ready skills in recruitment technology and workforce trends.
Managers and team leaders responsible for building teams and needing insights into AI's role in predicting cultural fit and retention.
Talent acquisition specialists aiming to expand global reach, source passive candidates, and use AI for remote workforce building.
Tech professionals and data enthusiasts curious about how machine learning and natural language processing are transforming HR practices.
Anyone interested in the future of work, recruitment ethics, and how AI can make hiring smarter, fairer, and more impactful.
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