AI in Human Resources

Overview

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Learning Outcomes

• Apply AI Prompt Engineering in HR: use structured prompt frameworks to create and refine HR documents, interview guides, candidate evaluation materials, and internal communications while validating AI-generated content.
• Automate Recruitment Processes: apply AI tools and automated workflows for resume screening, candidate-job matching, qualification scoring, interview scheduling, and candidate communication.
• Build AI-Powered HR Assistants: create custom AI assistants and HR policy assistants to support employee queries, policy navigation, and onboarding.
• Apply AI to Learning & Development: generate course outlines, training scenarios, micro-learning content, and L&D materials using Generative AI.
• Enhance Performance Management: develop performance evaluation frameworks, feedback templates, SMART goals, and OKR-based systems using Generative AI.
• Support Competency & Succession Planning: use AI to map competencies, identify skill gaps, support talent assessment, and develop succession planning frameworks.
• Analyze HR Data with AI: analyze HR metrics, employee feedback, and qualitative data to identify trends and generate HR insights using AI-enabled analytics tools.
• Build AI-Enabled HR Workflows: apply workflow automation and process visualization tools to map and streamline selected HR processes.

Who should Enroll

• HR professionals and generalists
• Talent acquisition and recruitment professionals
• Learning and development professionals
• Performance and talent management professionals
• HR professionals who want to apply AI and automation to their work

Instructor

Sherif Osman

Applying Generative AI in Human Resource Management

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