Free Udemy Course 2025: AI in Human Resource and People Management

DescriptionTake the next step in your HR journey! Whether you are an aspiring HR professional, a business strategist, an entrepreneur, or a data enthusiast, this course will equip you with the knowledge and practical skills to understand, implement, and apply AI-Driven HR strategies. Learn how AI, workforce analytics, and modern HR tools are transforming organizations — from smarter talent acquisition and predictive workforce planning to employee engagement and retention.Guided by real-world examples and hands-on exercises, you will:Master the core concepts of AI in HR, including workforce planning, talent analytics, performance management, and employee engagement.Gain hands-on experience working with HR analytics platforms, AI-powered tools, and case studies to design and evaluate effective HR strategies.Explore applications of AI-driven techniques in recruitment, attrition prediction, skills gap analysis, and leadership development.Understand the ethical, legal, and governance challenges of AI in HR, including privacy, fairness, transparency, and compliance.Position yourself for future opportunities by learning about the latest innovations and emerging trends in AI-driven HR, including generative AI, predictive modeling, and automation.The Frameworks of the Course· Engaging video lectures, case studies, projects, downloadable resources, and interactive exercises — designed to help you deeply understand AI-driven HR concepts, practical strategies, and real-world applications.· The course includes multiple HR case studies, along with resources such as templates, worksheets, reading materials, quizzes, self-assessments, and practical exercises to strengthen your ability to apply AI in HR practices.· In the first part of the course, you’ll learn the fundamentals of AI in HR, its advantages and challenges, and the step-by-step process of integrating AI into workforce planning and HR strategies.· In the middle part of the course, you will build a strong foundation in talent analytics, recruitment optimization, employee engagement, and performance management, supported by real-world examples and interactive activities.· In the final part of the course, you will explore ethical and legal considerations, implementation roadmaps, advanced AI trends, and career opportunities in AI-driven HR. All your queries will be addressed within 48 hours, with full support provided throughout your learning journey.Course Content:Part 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseMODULE 1. Introduction to AI in HR1.1. The Role of AI in HR1.2. Key Applications of AI in HR1.3. AI Tools and Technologies in HR1.4. Ethical Considerations and Challenges1.5. The Future of AI in HR1.6. Case Study1.7. ConclusionMODULE 2. Data Fundamentals for AI in HR2.1. Types and Collection of Data in HR2.2. Ensuring quality, Integrity, and Ethics in HR2.3. Data Preparation and Analytics for AI in HR2.4. Building a Data Driven HR Culture2.5. ConclusionMODULE 3. AI- Driven Talent Acquisition3.1. AI-Driven Lifecycle3.2. The Benefits of AI in Talent Acquisition3.3 Challenges and Ethical Considerations3.4. The Future of AI in Talent Acquisition3.5. Case Study3.6. ConclusionMODULE 4. AI in Learning and Development4.1. AI in Personalized Learning4.2. Competency Mapping and Learning Analytics4.3 Integrated AI Platforms for Virtual Coaching and Learning4.4. Ethical Considerations and Challenges in Ai in HR4.5. Future Trends in AI for Learning and Development4.6. ConclusionMODULE 5. Foundations of Employee Engagement5.1. AI for Measuring and Improving Engagement5.2. Personalized Employee Development and Recognition5.3. AI Enhanced Employee Journey5.4. Integrated AI Platforms for Employee Experience5.5. Responsible Use of AI in engagement5.6. ConclusionMODULE 6: AI in Performance Management and Succession Planning6.1. AI-Driven Performance Evaluation and Development6.2. AI in Succession Planning6.3. Strategic InsightsMODULE 7. Foundations of AI in Workforce Planning and HR Analytics7.1. Predictive Analytics for Workforce Management7.2. Talent Development and Skill Management7.3. Recruitment and Talent Acquisition Optimization7.4. Data Integration for Unified Workforce Planning Platform7.5. Ethical Considerations and Compliance in AI-Driven HR Analytics7.6. ConclusionMODULE 8: Ethical and Loyal Considerations of AI in HR8.1. Data Privacy, Consent and Security8.2. Fairness, Bias and Accountability8.3. Transparency and Explainability of AI in HR8.4. Ethical Considerations in Monitoring and Surveillance8.5. Compliance with Employment Laws and Anti-Discrimination Legislation8.6. ConclusionMODULE 9: Implementing AI in HR Challenges and Practices9.1. Challenges of Implementing of AI in HR9.2. Best Practices for Implementing AI in HR9.3. ConclusionPart 2MODULE 10. Capstone ProjectAI Tools for Human Resource Management: A Comprehensive GuideAssignment 1: AI in Recruitment and Candidate SelectionAssignment 2: AI in Employee Engagement and Performance ManagementAssignment 3: AI in Learning and Talent Development