Generative AI for Human Resources (HR) Professionals Specialization Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This specialization equips HR professionals with practical skills to integrate generative AI into core HR functions—recruitment, learning & development, and employee experience. Over approximately 11 weeks of part-time study (6-8 hours/week), learners will engage with real-world tools, no-code platforms, and ethical frameworks used by leading organizations. Each module blends theory with hands-on labs, culminating in a comprehensive AI HR transformation plan. Designed by IBM experts, the course ensures HR remains human-centered while leveraging AI at scale.

Module 1: AI in Talent Acquisition

Estimated time: 16 hours

  • Automated resume screening with AI tools like Eightfold and Phenom
  • Bias detection and mitigation in job descriptions
  • AI-generated interview question design
  • Case Study: Unilever’s AI-powered hiring strategy

Module 2: Learning & Development Powered by AI

Estimated time: 12 hours

  • AI-driven skills gap analysis
  • Microlearning content creation using ChatGPT
  • Personalized career path recommendations
  • Hands-on lab: Build a training module with generative AI

Module 3: Enhancing Employee Experience with AI

Estimated time: 16 hours

  • Employee sentiment analysis using large language models (LLMs)
  • Designing AI HR assistants (with ServiceNow integration examples)
  • Automation of policy documentation and updates
  • Real-time feedback processing with NLP techniques

Module 4: Ethical AI Governance in HR

Estimated time: 10 hours

  • Implementing ILO-compliant AI frameworks
  • Transparency and accountability in AI decision-making
  • Risk assessment for AI in people operations
  • Establishing ethical review boards for HR tech

Module 5: No-Code AI Integrations for HR Systems

Estimated time: 14 hours

  • Integrating generative AI with Workday via no-code platforms
  • Building HR chatbots without programming
  • Workflow automation for employee onboarding and support
  • Testing and deploying AI solutions in HRIS environments

Module 6: Final Project

Estimated time: 20 hours

  • Develop an AI HR transformation plan for a fictional or real organization
  • Incorporate AI use cases across recruitment, L&D, and employee experience
  • Present ethical governance strategy and implementation roadmap

Prerequisites

  • Basic understanding of HR functions (recruitment, training, employee relations)
  • Familiarity with digital workplace tools (e.g., HRIS, LMS)
  • No coding experience required; comfort with technology assumed

What You'll Be Able to Do After

  • Implement AI-powered recruitment tools while ensuring fairness and compliance
  • Create personalized learning and career development paths using generative AI
  • Analyze employee sentiment from feedback data at scale
  • Design and deploy no-code AI HR assistants integrated with platforms like ServiceNow and Workday
  • Lead ethical AI adoption in HR with governance frameworks aligned to international standards
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