How is AI used in HR management?

AI is used in recruitment, employee engagement, performance analysis, and workforce planning.

Is this course suitable for non-technical professionals?

Yes, it is designed for learners from non-technical backgrounds working in HR or related roles.

Will I learn how to use AI tools in HR?

The course covers how AI tools can support HR processes and improve efficiency.

Can AI improve recruitment and hiring?

It helps automate candidate screening, identify suitable profiles, and improve hiring outcomes.

What industries can benefit from AI in HR?

AI in HR is used across corporate, healthcare, retail, and public sector environments.

Is coding required for this course?

No coding is required. The focus is on practical application and understanding.

How will this course help my career?

It helps you build practical AI skills and improve your effectiveness in modern HR roles.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Human Resources

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

AI for Human Resources

Instructeur : AI CERTs Team

1 710 déjà inscrits

Inclus avec

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

4 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

4 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Apply AI in HR Workflows: Use AI tools to support recruitment, workforce planning, and employee management tasks.
Improve Recruitment and Talent Processes: Use AI to screen candidates, identify talent, and improve hiring accuracy.
Analyze Data for Workforce Decisions: Analyze employee data to generate performance insights and support retention strategies.
Enhance Employee Engagement with AI: Apply AI-driven insights to improve engagement, retention, and workplace experience.

Compétences que vous acquerrez

Catégorie : Workforce Management
Catégorie : Artificial Intelligence
Catégorie : AI Enablement
Catégorie : Recruitment Strategies
Catégorie : Recruitment
Catégorie : Employee Engagement
Catégorie : Talent Management
Catégorie : Human Resource Management
Catégorie : Performance Analysis
Catégorie : Human Resources Management and Planning
Catégorie : Human Resource Strategy
Catégorie : People Analytics
Catégorie : Workforce Development
Catégorie : Decision Making
Catégorie : Human Resources
Catégorie : Talent Recruitment
Catégorie : Legal Risk
Catégorie : Data Ethics
Catégorie : HR Tech
Catégorie : Workforce Planning

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

janvier 2026

Évaluations

8 devoirs

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Il y a 8 modules dans ce cours

Apply AI in human resources to improve hiring efficiency, enhance employee engagement, and make smarter workforce decisions. For example, AI can automatically screen candidates and identify the best-fit profiles faster.

This AI for Human Resources course explains how AI is used across key HR functions. These include recruitment, employee engagement, and workforce planning. Designed for beginners, it helps you build practical knowledge without requiring prior technical or coding experience. You’ll explore how AI supports HR operations, including recruitment, performance analysis, engagement, and workforce planning. The course focuses on real-world applications. It helps you improve hiring efficiency, make faster and more accurate talent decisions, and drive stronger workforce performance. Through guided examples, you’ll learn how to identify opportunities for automation, analyze employee data, and support talent strategies using AI-driven insights. Practical scenarios such as candidate screening, performance tracking, and workforce optimization make learning more actionable and easier to apply. Whether you are exploring AI in HR management or looking to understand how it integrates into existing HR processes, this course offers a clear, structured starting point. By the end of the course, you’ll be able to use AI tools in HR operations, improve workforce strategies, and support stronger data-driven decision-making.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

Inclus

16 vidéos1 devoir6 plugins

16 vidéosTotal 154 minutes

Audiobook: Course Introduction7 minutes
Audiobook Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR75 minutes
Podcast Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR19 minutes
1.1 AI Basics: Overview of AI, ML, DL, and NLP4 minutes
1.1.1 ML: Types and impact on HR5 minutes
1.2 Understanding Algorithms: Basics of AI learning from data6 minutes
1.3 AI in Everyday Life: Examples of AI in Daily Tasks3 minutes
1.4 From Traditional to Digital4 minutes
1.5 Case Studies4 minutes
1.6 Impact of AI on HR Roles3 minutes
1.7 Recruitment and Selection3 minutes
1.8 Employee Engagement3 minutes
1.9 Performance Management4 minutes
1.10 Skills Gap Analysis4 minutes
1.11 Cultural Adaptation6 minutes
1.12 Ethical and Responsible AI Use4 minutes

1 devoirTotal 30 minutes

Quiz 130 minutes

6 pluginsTotal 90 minutes

Ebook: Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Drag and Drop15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

11 vidéos1 lecture1 devoir7 plugins

11 vidéosTotal 100 minutes

Audiobook Module 2: AI-Enhanced Recruitment and Onboarding46 minutes
Podcast Module 2: AI-Enhanced Recruitment and Onboarding24 minutes
2.1 Introduction to AI in Recruitment4 minutes
2.2 AI Tools and Techniques2 minutes
2.3 Case Studies3 minutes
2.4 Role of AI in Onboarding3 minutes
2.5 AI-Powered Onboarding Solutions2 minutes
2.6 Benefits and Challenges3 minutes
2.7 Strategies for Adoption4 minutes
2.8 Measuring Success5 minutes
2.9 Ethical Considerations and Bias Mitigation3 minutes

1 lectureTotal 10 minutes

Hands - On10 minutes

1 devoirTotal 30 minutes

Quiz 230 minutes

7 pluginsTotal 105 minutes

Ebook: Module 2: AI-Enhanced Recruitment and Onboarding15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Case Study 115 minutes
ACTIVITY: Case Study 215 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

15 vidéos1 lecture1 devoir5 plugins

15 vidéosTotal 127 minutes

Audiobook Module 3: Enhancing Employee Experience and Engagement59 minutes
Podcast Module 3: Enhancing Employee Experience and Engagement18 minutes
3.1 Overview: AI’s Role in Strategic Talent Development4 minutes
3.2 AI in Performance Management3 minutes
3.2.1 AI in Team Performance and Behavior Analytics3 minutes
3.2.2 AI-Powered Goal Tracking and Predictive Performance Models4 minutes
3.3 Career Pathing and Internal Mobility4 minutes
3.3.1 AI Mapping Career Trajectories, Matching Roles, and Growth Opportunities4 minutes
3.4 Real-World Application (Case Study Snippet)3 minutes
3.5 Importance of Employee Feedback5 minutes
3.6 AI Tools for Sentiment Analysis3 minutes
3.7 Engagement Strategies Powered by AI4 minutes
3.8 Best Practices for Adoption: Guidelines for integrating AI technologies3 minutes
3.9 Measuring Impact4 minutes
3.10 Ethical Considerations and Privacy4 minutes

1 lectureTotal 10 minutes

Hands - On10 minutes

1 devoirTotal 30 minutes

Quiz 330 minutes

5 pluginsTotal 75 minutes

Ebook: Module 3: Enhancing Employee Experience and Engagement15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: Accordian15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

15 vidéos1 lecture1 devoir8 plugins

15 vidéosTotal 169 minutes

Audiobook Module 4: Workforce Analytics and Talent Management62 minutes
Podcast Module 4: Workforce Analytics and Talent Management55 minutes
4.1 Overview of Workforce Analytics5 minutes
4.2 Role of AI in Workforce Analytics: Enhancing Decision-Making Through AI4 minutes
4.3 Data-Driven Talent Management: AI for Talent Strategies4 minutes
4.3.1 Predictive Analytics is HR Practices4 minutes
4.4 Predictive Models in HR4 minutes
4.5 Building Predictive Models3 minutes
4.6 Challenges and Solutions3 minutes
4.7 AI-Driven Talent Identification5 minutes
4.8 Succession Planning with AI4 minutes
4.9 Integrating AI into Talent Management Processes4 minutes
4.10 Ethics and Privacy in Data Use4 minutes
4.11 Bias Mitigation in AI Models4 minutes
4.12 Building Trust and Transparency5 minutes

1 lectureTotal 10 minutes

Hands - On10 minutes

1 devoirTotal 30 minutes

Quiz 430 minutes

8 pluginsTotal 120 minutes

Ebook: Module 4: Workforce Analytics and Talent Management15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Drag and Drop15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Case Study 115 minutes
ACTIVITY: Case Study 215 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

14 vidéos1 lecture1 devoir6 plugins

14 vidéosTotal 115 minutes

Audiobook Module 5: Ethical AI and Bias Mitigation49 minutes
Podcast Module 5: Ethical AI and Bias Mitigation30 minutes
5.1 Introduction to Ethical AI4 minutes
5.2 Ethical Considerations4 minutes
5.3 Frameworks for Ethical AI3 minutes
5.4 Sources of Bias in AI3 minutes
5.5 Strategies for Bias Mitigation3 minutes
5.6 Case Studies2 minutes
5.7 Operationalizing Ethical AI2 minutes
5.8 Stakeholder Engagement3 minutes
5.9 Monitoring and Governance4 minutes
5.10 Education and Awareness2 minutes
5.11 Leadership and Accountability3 minutes
5.12 Future Challenges2 minutes

1 lectureTotal 10 minutes

Hands - On10 minutes

1 devoirTotal 30 minutes

Quiz 530 minutes

6 pluginsTotal 90 minutes

Ebook: Module 5: Ethical AI and Bias Mitigation15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

14 vidéos1 lecture1 devoir8 plugins

14 vidéosTotal 125 minutes

Audiobook Module 6: Legal Considerations in AI for HR59 minutes
Podcast Module 6: Legal Considerations in AI for HR25 minutes
6.1 Introduction to Legal Considerations3 minutes
6.2 Data Protection and Privacy Laws3 minutes
6.3 Employment Law Implications3 minutes
6.4 Conducting AI Audits3 minutes
6.5 Risk Assessment and Mitigation3 minutes
6.6 Documentation and Transparency3 minutes
6.7 Keeping Up with Regulatory Changes3 minutes
6.8 Stakeholder Engagement3 minutes
6.9 International Considerations4 minutes
6.10 Aligning Ethical and Legal Considerations3 minutes
6.11 Developing Ethical and Legal Guidelines4 minutes
6.12 Case Studies5 minutes

1 lectureTotal 10 minutes

Hands - On10 minutes

1 devoirTotal 30 minutes

Quiz 630 minutes

8 pluginsTotal 120 minutes

Ebook: Module 6: Legal Considerations in AI for HR15 minutes
ACTIVITY: Drag and Drop15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Accordian15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: Case Study 115 minutes
ACTIVITY: Case Study 215 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

14 vidéos1 devoir6 plugins

14 vidéosTotal 143 minutes

Audiobook Module 7: Preparing for the Future of AI in HR59 minutes
Podcast Module 7: Preparing for the Future of AI in HR35 minutes
7.1 Emerging AI Technologies3 minutes
7.2 Trends Shaping the Future of HR3 minutes
7.3 Predictions for AI in HR5 minutes
7.4 Skills Development for HR Professionals3 minutes
7.5 Fostering a Culture of Innovation4 minutes
7.6 Infrastructure and Governance for AI4 minutes
7.7 Assessing Organizational Readiness4 minutes
7.8 Strategic Planning for AI Integration4 minutes
7.9 Change Management for AI Implementation4 minutes
7.10 Maintaining Ethical Standards in Future AI Applications3 minutes
7.11 Anticipating Unintended Consequences6 minutes
7.12 Sustainable AI Practices5 minutes

1 devoirTotal 30 minutes

Quiz 730 minutes

6 pluginsTotal 90 minutes

Ebook: Module 7: Preparing for the Future of AI in HR15 minutes
ACTIVITY: Carousel15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: Knowledge Check15 minutes

Inclus

15 vidéos1 devoir8 plugins

15 vidéosTotal 116 minutes

Audiobook Module 8: Implementing AI in HR: A Practical Workshop55 minutes
Podcast Module 8: Implementing AI in HR: A Practical Workshop18 minutes
8.1 Identifying HR Challenges4 minutes
8.2 Selecting AI Solutions3 minutes
8.3 Designing the AI Project3 minutes
8.4 Stakeholder Engagement3 minutes
8.5 Data Management and Governance3 minutes
8.6 Pilot Testing and Iteration3 minutes
8.7 Performance Metrics and KPIs3 minutes
8.8 Feedback Loops and Continuous Improvement4 minutes
8.9 Scaling and Integration3 minutes
8.10 Revisiting Ethical AI Use3 minutes
8.11 Legal Compliance3 minutes
8.12 Sustainability and Social Impact2 minutes
Course Summary5 minutes

1 devoirTotal 30 minutes

Quiz 830 minutes

8 pluginsTotal 120 minutes

Ebook: Module 8: Implementing AI in HR: A Practical Workshop15 minutes
ACTIVITY: Popup15 minutes
ACTIVITY: True or False15 minutes
ACTIVITY: Multiple Select15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Case Study 115 minutes
ACTIVITY: Case Study 215 minutes
ACTIVITY: Knowledge Check15 minutes

Instructeur

AI CERTs Team

AI CERTs

58 Cours35 534 apprenants

Offert par

AI CERTs

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Foire Aux Questions

It is designed for HR professionals, recruiters, and anyone interested in applying AI in human resources.

No prior experience is required, as the course is beginner-friendly and focused on practical understanding.

You’ll learn how to apply AI in HR workflows, improve recruitment processes, and use data for workforce decisions.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.