生成式AI人力資源應用證書課程

Course Information

• ILO-1: Explain core principles of GenAI and LLMs, including their strengths, risks, and selection criteria.
• ILO-2: Construct effective prompts using structured frameworks to generate consistent and compliant HR content or analyses.
• ILO-3: Use AI-driven tools (e.g., Perplexity, Copilot, Nano Banana Pro, NotebookLM) to enhance candidate sourcing, onboarding content creation, and L&D processes.
• ILO-4: Create simple automation flows (e.g., onboarding reminders, performance updates)
• ILO-5: Implement data privacy and governance practices to ensure safe and transparent AI integration in HR processes.

Course Outline
Module 1 :

• Core Concepts of GenAI & Large Language Models (LLMs)
• • Basics ideas of large language models (LLMs)
• • Understanding the non-deterministic nature of LLMs due to hallucinations
• • Overview of major AI models
•    ChatGPT/Gemini/Grok/Claude/DeepSeek

Module 2 :
Introduction to Prompt Engineering

• • System prompt and user prompt
• • Structured prompting frameworks
• • Prompt engineering use cases for different HR modules
•    TA/HRBP/Operations/Engagement

Module 3 : Adaptation of AI Strategy

• • Blindspots of adapting AI strategy for HR
• • 4 Questions to ask before adapting AI
• • 4 types of tasks that AI brings the maximum values
• • AI models selection strategy

Module 4 : Leveraging AI in LinkedIn Candidate Sourcing

• • Introduction to Perplexity
• • Perform LinkedIn candidate search with Perplexity and Copilot
• • Results comparison of Perplexity and Copilot
• • Perform CV screening with Perplexity/Copilot/Grok and compare results

Module 5 : Leveraging Nano Banana Pro/Copilot in Staff Onboarding

• • Introduction to Nano Banana Pro
• • Prepare onboarding materials with Nano Banana Pro and Copilot
• • Results comparison of Nano Banana Pro and Copilot

Module 6 : Leveraging NotebookLM for Learning & Development

• • Introduction to NotebookLM
• • Use case demonstration with NotebookLM- OKR training
•    ○ Materials summary
•    ○ Conduct Deep Search
•    ○ Slides generation
•    ○ How to edit and export the output

Module 7 : Creating AI Character with MiniMax and Descript

• • Introduction to MiniMax and Descript
• • Set up an AI orientation ambassador for new joiners

Module 8 : AI Presentation Deck Generation with Kimi AI/Gamma

• • Introduction to Kimi AI & Gamma
• • Use case demonstration with Kimi AI/Gamma - Yearly HR Achievement Review
• • Results comparison of Kimi AI & Gamma

Module 9 : Automation with n8n

• • Introduction to n8n
• • Use case demonstration with n8n - Auto onboarding reminder
• • Security concern of n8n

Module 10 : Introduction to Vibe Coding

• • What is vibe coding
• • Real HR use cases with Vibe coding
•    ○ Task Automation/Data Analysis/Website/App
• • Power and limitation for HR using Vibe coding

Module 11 : Security, Privacy & Governance for AI adaptation

• • Major security concerns in using AI
• • Non-negotiable safety rules to follow
• • AI adaptation guidelines for company implementation
• • Group project presentation