Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundational Role of AI in Human Capital Management
- Comprehensive review of AI functionalities applicable to HR operations: Large Language Models (LLMs), process automation, and data analytics
- Standard operational applications and strategic impact areas within HR
- Methodologies for assessing organizational readiness and defining the scope of AI pilot initiatives
Ethical AI, Data Privacy, and Regulatory Compliance in HR
- Core principles of data privacy and protocols for managing personally identifiable information in HR systems
- Mitigating bias, ensuring fairness, and adhering to legal standards in recruitment and performance assessment processes
- Establishing robust governance frameworks, authorization workflows, and documentation standards for AI projects
Strategic Prompt Engineering and Generative Workflows for HR
- Developing precise prompts for generating job descriptions, synthesizing candidate evaluations, and drafting offer communications
- Standardized templates and prompt structures for formal HR correspondence and policy development
- Iterative refinement, output validation, and implementation of human oversight mechanisms
Process Automation and Workflow Architecture
- Architecting integrated workflows that combine LLMs, spreadsheet utilities, and HR Information Systems (HRIS)
- Automating routine administrative functions: interview coordination, standard inquiry resolution, and onboarding verification
- Strategies for integrating AI tools with APIs and low-code platforms (overview)
Workforce Analytics and AI-Enhanced Decision Making
- Leveraging AI for strategic workforce planning: retention risk prediction, competency gap identification, and personalized learning interventions
- Interpreting algorithmic outputs and effectively communicating insights to key stakeholders
- Establishing Key Performance Indicators (KPIs) and calculating Return on Investment (ROI) for HR AI deployments
Organizational Change Management and Implementation Strategy
- Forming cross-departmental teams and executing stakeholder engagement protocols
- Strategic planning for pilot phases, phased rollout strategies, and workforce training programs
- Operational best practices: continuous monitoring, system maintenance, and performance optimization
Practical Workshop: Developing an AI-Integrated HR Solution
- Collaborative exercise: defining a specific operational challenge, designing an AI-based solution, and developing prompts and workflows
- Group presentations with structured peer review focused on ethical compliance and operational feasibility
- Actionable next steps and standardized templates for pilot execution
Concluding Summary and Implementation Roadmap
Requirements
- Foundational knowledge of HR processes and standard terminology
- Proficiency in using spreadsheet software and web-based applications
- Commitment to the ethical and responsible use of AI in HR contexts
Target Audience
- HR Managers and HR Business Partners
- Talent Acquisition and People Operations Specialists
- HR Analysts and People Analytics Practitioners
