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URL: https://www.coursera.org/learn/ai-for-human-resources

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AI for Human Resources

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AI for Human Resources

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

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Recently updated!

January 2026

Assessments

8 assignments

Taught in English

There are 8 modules in this course

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 introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

18 videos1 assignment2 plugins

18 videos•Total 121 minutes
  • Navigation Video•2 minutes
  • Course Introduction•5 minutes
  • Audiobook: Course Introduction•6 minutes
  • Audiobook Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR•36 minutes
  • Podcast Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR•19 minutes
  • 1.1 AI Basics: Overview of AI, ML, DL, and NLP•4 minutes
  • 1.1.1 ML: Types and impact on HR•5 minutes
  • 1.2 Understanding Algorithms: Basics of AI learning from data•6 minutes
  • 1.3 AI in Everyday Life: Examples of AI in Daily Tasks•3 minutes
  • 1.4 From Traditional to Digital•4 minutes
  • 1.5 Case Studies•4 minutes
  • 1.6 Impact of AI on HR Roles•3 minutes
  • 1.7 Recruitment and Selection•3 minutes
  • 1.8 Employee Engagement•3 minutes
  • 1.9 Performance Management•4 minutes
  • 1.10 Skills Gap Analysis•4 minutes
  • 1.11 Cultural Adaptation•6 minutes
  • 1.12 Ethical and Responsible AI Use•4 minutes
1 assignment•Total 30 minutes
  • Quiz 1•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR•15 minutes
  • ACTIVITY: Sequence Arrangement•15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videos•Total 84 minutes
  • Audiobook Module 2: AI-Enhanced Recruitment and Onboarding•31 minutes
  • Podcast Module 2: AI-Enhanced Recruitment and Onboarding•24 minutes
  • 2.1 Introduction to AI in Recruitment•4 minutes
  • 2.2 AI Tools and Techniques•2 minutes
  • 2.3 Case Studies•3 minutes
  • 2.4 Role of AI in Onboarding•3 minutes
  • 2.5 AI-Powered Onboarding Solutions•2 minutes
  • 2.6 Benefits and Challenges•3 minutes
  • 2.7 Strategies for Adoption•4 minutes
  • 2.8 Measuring Success•5 minutes
  • 2.9 Ethical Considerations and Bias Mitigation•3 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 2•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 2: AI-Enhanced Recruitment and Onboarding•15 minutes
  • Activity: Flip Card•15 minutes

What's included

15 videos1 reading1 assignment2 plugins

15 videos•Total 101 minutes
  • Audiobook Module 3: Enhancing Employee Experience and Engagement•33 minutes
  • Podcast Module 3: Enhancing Employee Experience and Engagement•18 minutes
  • 3.1 Overview: AI’s Role in Strategic Talent Development•4 minutes
  • 3.2 AI in Performance Management•3 minutes
  • 3.2.1 AI in Team Performance and Behavior Analytics•3 minutes
  • 3.2.2 AI-Powered Goal Tracking and Predictive Performance Models•4 minutes
  • 3.3 Career Pathing and Internal Mobility•4 minutes
  • 3.3.1 AI Mapping Career Trajectories, Matching Roles, and Growth Opportunities•4 minutes
  • 3.4 Real-World Application (Case Study Snippet)•3 minutes
  • 3.5 Importance of Employee Feedback•5 minutes
  • 3.6 AI Tools for Sentiment Analysis•3 minutes
  • 3.7 Engagement Strategies Powered by AI•4 minutes
  • 3.8 Best Practices for Adoption: Guidelines for integrating AI technologies•3 minutes
  • 3.9 Measuring Impact•4 minutes
  • 3.10 Ethical Considerations and Privacy•4 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 3•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 3: Enhancing Employee Experience and Engagement•15 minutes
  • ACTIVITY: Accordian•15 minutes

What's included

15 videos1 reading1 assignment2 plugins

15 videos•Total 143 minutes
  • Audiobook Module 4: Workforce Analytics and Talent Management•36 minutes
  • Podcast Module 4: Workforce Analytics and Talent Management•55 minutes
  • 4.1 Overview of Workforce Analytics•5 minutes
  • 4.2 Role of AI in Workforce Analytics: Enhancing Decision-Making Through AI•4 minutes
  • 4.3 Data-Driven Talent Management: AI for Talent Strategies•4 minutes
  • 4.3.1 Predictive Analytics is HR Practices•4 minutes
  • 4.4 Predictive Models in HR•4 minutes
  • 4.5 Building Predictive Models•3 minutes
  • 4.6 Challenges and Solutions•3 minutes
  • 4.7 AI-Driven Talent Identification•5 minutes
  • 4.8 Succession Planning with AI•4 minutes
  • 4.9 Integrating AI into Talent Management Processes•4 minutes
  • 4.10 Ethics and Privacy in Data Use•4 minutes
  • 4.11 Bias Mitigation in AI Models•4 minutes
  • 4.12 Building Trust and Transparency•5 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 4•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 4: Workforce Analytics and Talent Management•15 minutes
  • Activity: Problem Statement•15 minutes

What's included

14 videos1 reading1 assignment2 plugins

14 videos•Total 97 minutes
  • Audiobook Module 5: Ethical AI and Bias Mitigation•31 minutes
  • Podcast Module 5: Ethical AI and Bias Mitigation•30 minutes
  • 5.1 Introduction to Ethical AI•4 minutes
  • 5.2 Ethical Considerations•4 minutes
  • 5.3 Frameworks for Ethical AI•3 minutes
  • 5.4 Sources of Bias in AI•3 minutes
  • 5.5 Strategies for Bias Mitigation•3 minutes
  • 5.6 Case Studies•2 minutes
  • 5.7 Operationalizing Ethical AI•2 minutes
  • 5.8 Stakeholder Engagement•3 minutes
  • 5.9 Monitoring and Governance•4 minutes
  • 5.10 Education and Awareness•2 minutes
  • 5.11 Leadership and Accountability•3 minutes
  • 5.12 Future Challenges•2 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 5•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 5: Ethical AI and Bias Mitigation•15 minutes
  • Activity: Hotspot•15 minutes

What's included

14 videos1 reading1 assignment2 plugins

14 videos•Total 100 minutes
  • Audiobook Module 6: Legal Considerations in AI for HR•35 minutes
  • Podcast Module 6: Legal Considerations in AI for HR•25 minutes
  • 6.1 Introduction to Legal Considerations•3 minutes
  • 6.2 Data Protection and Privacy Laws•3 minutes
  • 6.3 Employment Law Implications•3 minutes
  • 6.4 Conducting AI Audits•3 minutes
  • 6.5 Risk Assessment and Mitigation•3 minutes
  • 6.6 Documentation and Transparency•3 minutes
  • 6.7 Keeping Up with Regulatory Changes•3 minutes
  • 6.8 Stakeholder Engagement•3 minutes
  • 6.9 International Considerations•4 minutes
  • 6.10 Aligning Ethical and Legal Considerations•3 minutes
  • 6.11 Developing Ethical and Legal Guidelines•4 minutes
  • 6.12 Case Studies•5 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 6•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 6: Legal Considerations in AI for HR•15 minutes
  • Activity: Tab•15 minutes

What's included

14 videos1 assignment2 plugins

14 videos•Total 109 minutes
  • Audiobook Module 7: Preparing for the Future of AI in HR•25 minutes
  • Podcast Module 7: Preparing for the Future of AI in HR•35 minutes
  • 7.1 Emerging AI Technologies•3 minutes
  • 7.2 Trends Shaping the Future of HR•3 minutes
  • 7.3 Predictions for AI in HR•5 minutes
  • 7.4 Skills Development for HR Professionals•3 minutes
  • 7.5 Fostering a Culture of Innovation•4 minutes
  • 7.6 Infrastructure and Governance for AI•4 minutes
  • 7.7 Assessing Organizational Readiness•4 minutes
  • 7.8 Strategic Planning for AI Integration•4 minutes
  • 7.9 Change Management for AI Implementation•4 minutes
  • 7.10 Maintaining Ethical Standards in Future AI Applications•3 minutes
  • 7.11 Anticipating Unintended Consequences•6 minutes
  • 7.12 Sustainable AI Practices•5 minutes
1 assignment•Total 30 minutes
  • Quiz 7•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 7: Preparing for the Future of AI in HR•15 minutes
  • ACTIVITY: True or False•15 minutes

What's included

15 videos1 assignment2 plugins

15 videos•Total 88 minutes
  • Audiobook Module 8: Implementing AI in HR: A Practical Workshop•28 minutes
  • Podcast Module 8: Implementing AI in HR: A Practical Workshop•18 minutes
  • 8.1 Identifying HR Challenges•4 minutes
  • 8.2 Selecting AI Solutions•3 minutes
  • 8.3 Designing the AI Project•3 minutes
  • 8.4 Stakeholder Engagement•3 minutes
  • 8.5 Data Management and Governance•3 minutes
  • 8.6 Pilot Testing and Iteration•3 minutes
  • 8.7 Performance Metrics and KPIs•3 minutes
  • 8.8 Feedback Loops and Continuous Improvement•4 minutes
  • 8.9 Scaling and Integration•3 minutes
  • 8.10 Revisiting Ethical AI Use•3 minutes
  • 8.11 Legal Compliance•3 minutes
  • 8.12 Sustainability and Social Impact•2 minutes
  • Course Summary•5 minutes
1 assignment•Total 30 minutes
  • Quiz 8•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 8: Implementing AI in HR: A Practical Workshop•15 minutes
  • Activity: Case Study•15 minutes

Instructor

AI CERTs
58 Courses•43,878 learners

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Frequently asked 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.

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

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

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

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

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

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

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

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.

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.

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.

Financial aid available,