Artificial Intelligence (AI) for HR Administrators

• Understand the AI landscape and its relevance to HR.
• Understand how Generative AI can support HR activities.
• Create effective prompts for common HR tasks.
• Use AI tools to improve HR productivity and communication.
• Apply AI to HR meetings, information extraction, summarization, and workflow optimization.
• Explore AI chatbots, custom GPTs, and AI agents for HR.
• Identify opportunities for AI adoption within HR processes.
• Understand AI strategy and governance concepts.
• Protect employee data when using AI tools.
• Recognize and mitigate AI bias.
• Apply human oversight and responsible AI principles.
• Develop an AI-enabled HR workflow or use case.

Module 1: Understanding AI

• What is AI
• Three Levels of Application in HR
• Mitigating AI Risks in HR
• AI adopter personas
• AI terminology and glossary

Module 2: Enhancing HR Practices with Generative AI

• How AI can empower HR professionals
• Generating content
• Uncovering data insights
• Extracting and summarizing information
• Automating and optimizing HR tasks
• Enhancing productivity
• AI in HR toolbox

Module 3: AI in Practice

• Effectively applying AI in HR
• AI-powered Learning and Development
• AI in Talent Acquisition
• AI Adoption Framework

Module 4: Prompt Design Fundamentals

• Introduction to Prompt Design
• Key Elements of Effective Prompts
• Optimizing AI Output Quality
• Practical Prompt Examples for HR Tasks
• Common Mistakes and Pitfalls in HR Prompts
• BRIEF Framework
• Writing Effective Prompts with the BRIEF Framework
• Prompt Chaining
• Prompt Templates for HR Tasks

Module 5: Prompting in Practice

• Prompt Methods for Efficiency and Consistency
• Prompt Methods for Improving Accuracy
• Prompt Methods for Comparison and Analysis
• Ethical AI Use in HR
• Creating AI Prompt Templates
• Multi-Modal Prompts
• Using Delimiters to Structure Prompts
• Contrastive Prompting
• Ethics and Biases in AI

Module 6: Advanced Prompting

• Using AI Without Outsourcing Human Judgment
• Managing Complex HR Deliverables with AI
• Preventing AI Hallucinations
• Managing AI Drift in Long Projects
• Personalizing AI Across Conversations
• AI Context Setup
• Advanced Prompt Techniques

Module 7: AI-Powered HR Meetings

• Optimizing meetings with GenAI
• Preparing structured agendas
• Tailoring meetings to stakeholder needs
• Developing strategic talking points
• Following up with clarity and efficiency
• End-to-end AI-powered meeting workflows

Module 8: AI for HR Communications

• Creating personalized HR communications
• Converting complex information into clear communication
• Creating communication materials
• Preparing managers for difficult conversations
• AI-assisted coaching and role-play

Module 9: AI Chatbots and Employee Support

• Creating an AI chatbot knowledge base
• Building an HR chatbot
• HR Copilot-style workflows
• Stress-testing an AI chatbot
• Sharing and scaling an HR chatbot
• Driving AI chatbot adoption

Module 10: Custom GPTs for HR

• Understanding Custom GPTs
• Building Custom GPTs
• Personal Writing Coach
• Workshop Builder for HR Professionals
• Employee Support Assistant
• Deploying and managing Custom GPTs responsibly

Module 11: Automating HR Work with AI Agents

• Designing reliable AI agents
• Understanding effective AI skills
• Creating an AI document drafter
• Creating an AI email writer
• Converting successful AI conversations into agents
• Building end-to-end AI workflows
• Prioritizing HR AI agents

Module 12: Redesigning HR Processes with AI

• Rethinking how HR work gets done with AI
• Defining desired outcomes
• OASIS framework for HR processes
• Identifying what AI processes must get right
• Balancing work between humans and AI
• Mapping AI-enabled HR processes
• Stress-testing AI processes for risks
• Preparing AI processes for implementation

Module 13: AI Strategy for HR

AI Strategy Design

• Why HR needs an AI strategy
• Identifying AI value, opportunities, and benefits
• Making an AI strategy feasible
• Documenting an AI roadmap
• Establishing an AI governance framework
• AI vendor evaluation
• AI adoption roadmap
• AI risk assessment
• AI policy development

Making AI Strategy Successful

• Building AI capabilities
• Avoiding common AI adoption challenges
• Applying innovation in AI
• Developing AI skills

Module 14: AI Ethics, Data Privacy, and Security

• Foundations for responsible AI use
• Responsible AI principles
• AI legal and compliance considerations
• Protecting employee data
• Identifying personally identifiable information (PII)
• Preparing employee data for AI use
• Reducing AI bias
• Conducting an AI bias review
• AI governance
• Maintaining human oversight
• Human-in-the-loop decision-making
• Pause-or-proceed AI decisions

Module 15: Practical AI Tools for HR

• Using Generative AI tools for HR work
• AI-assisted HR communications
• AI-assisted document creation
• AI-assisted information summarization
• AI-assisted data analysis
• AI-assisted meeting preparation
• AI-assisted employee support
• AI-assisted workflow automation
• Selecting appropriate AI tools for HR tasks

Module 16: Practical HR AI Project

Learners apply the concepts covered during the training to an HR use case.

6 Days

Course Completion Certificate by Network Binary

• Create and test HR-specific prompts.
• Generate HR communication drafts using Generative AI.
• Summarize HR documents and information.
• Extract useful information from HR content.
• Analyze sample HR data with AI assistance.
• Build structured meeting agendas and follow-up communications.
• Create an HR chatbot knowledge base.
• Design an employee-support AI assistant.
• Create a Custom GPT-style HR assistant.
• Design an AI document drafting workflow.
• Build an AI-assisted email workflow.
• Map an HR process using an AI workflow framework.
• Conduct an AI risk assessment.
• Identify PII and prepare sample employee data for AI use.
• Conduct an AI bias review.
• Develop an AI governance checklist.
• Create an AI adoption roadmap.
• Complete an HR-focused capstone project.

• HR Administrators
• HR Professionals
• HR Generalists
• HR Business Partners
• Talent Acquisition professionals
• Learning and Development professionals
• People Operations professionals
• HR professionals who want to develop practical AI skills

• No prior AI experience is required.
• Basic HR knowledge is beneficial.
• Familiarity with common HR processes is recommended.