Training Outline
Course Background
With the rapid development of Generative AI technology, corporate human resource management has reached a critical window for intelligent transformation . This course focuses on the practical application scenarios of Generative AI across various functions of human resource management . It is designed to help HR practitioners quickly master the use of AI tools, revolutionize their work models, and enhance management efficiency in core modules such as recruitment, training, performance, compensation, and employee relations . Emphasizing hands-on practice, the course provides rich industry case studies and actionable operational guides to help companies build talent competitive advantages in the AI era .
Course Benefits
· Master AI Applications: Learn Generative AI methodologies across 6 core HR functions: Recruitment, Training, Performance, Compensation, Employee Relations, and Organizational Development .
· Shift Professional Roles: Master efficient prompting skills and AI fine-tuning methods to transition from a "tool user" to an "AI Commander" .
· Acquire Ready-to-Use Toolkits: Gain direct access to a reusable AI prompt template library and practical case sets for immediate workplace deployment .
· Drive Digital Transformation: Understand the future trends of AI+HR to strategically map out the enterprise's digital and intelligent HR transformation path .
Course Duration
· 2 Days (6 hours per day, 12 hours total)
Target Audience
HR practitioners from various enterprises and public institutions, including: HR Directors/Managers, Training Heads, Recruitment Specialists, Performance Specialists, Compensation & Benefits Specialists, Employee Relations Specialists, Administrative Management Personnel, etc .
Course Syllabus
1. Underlying Logic and Tool Matrix of AI-Empowered HR
· Analysis of pain points across the entire HR business process .
· How Generative AI reshapes the HR value chain .
· Essential AI tool matrix for HR: Comparative analysis of mainstream large language models (including Ernie Bot, Tongyi Qianwen, Kimi, DeepSeek, etc.) .
· Core foundations of AI usage: Principles of Prompt Engineering (Role, Task, Format, Constraints) .
2. Four Core Strategies for High-Efficiency Querying
· Role-Playing Prompts: Transforming AI into a professional HR consultant .
· Few-Shot/Imitative Prompts: Rapidly generating proposal documents that match corporate communication styles .
· Structured Prompts: Directing AI to output professional-grade HR analysis reports .
· Chain-of-Thought (CoT) Prompts: Deconstructing complex problems and applying systematic thinking .
3. Strategy Module: AI + Human Resource Planning
· AI-assisted interpretation of corporate strategy and annual business objectives .
· AI + BSC (Balanced Scorecard) for strategic decoding .
· AI-assisted drafting of annual human resource planning reports .
· Intelligent simulation of labor costs and budget formulation .
4. Recruitment Module: AI + Intelligent Recruitment and Talent Acquisition
· AI-assisted recruitment demand analysis and creation of position-specific talent personas .
· AI generation of structured interview questions and evaluation criteria .
· AI + Intelligent resume parsing: Automated filtering, matching assessments, and batch processing .
· AI-assisted structured interviewing: Real-time interview question generation .
· AI-generated strategies for offer negotiations .
· Building recruitment data dashboards using AI to track recruitment progress at a glance .
5. Training Module: AI + Training Systems and Talent Development
· AI design for training needs survey questionnaires and需求 analysis reports .
· Building AI course development agents: One-click generation of training courseware and student manuals .
· AI digital humans assisting in micro-learning course development to lower video production barriers .
· AI design for talent cultivation program proposals across various corporate tiers .
· AI generation of custom IDPs (Individual Development Plans) for high-potential talent .
· AI + Kirkpatrick’s Four-Level Training Evaluation models .
· Constructing experience extraction agents with AI to generate job experience manuals with one click .
6. Performance Module: AI + Performance Management and Talent Assessment
· AI-assisted formulation of OKR/KPI goal systems and early warning tracking for progress .
· AI drafting and optimization of performance management regulations for various positions .
· AI + BEM (Behavior Engineering Model) Gilbert Model to formulate performance improvement plans .
· AI generation of standard procedures and strategies for performance reviews .
· AI construction of 9-Box talent grids and competency radar charts .
· AI-assisted design of position-specific performance incentive schemes .
7. Compensation Module: AI + Compensation Systems and Market Benchmarking
· AI-assisted design of position salary structures and pay band bandwidth systems .
· Real-time external salary data scraping via AI to generate compensation analysis reports .
· AI + Hay Group Job Evaluation Method for intelligent job value analysis .
· AI-assisted formulation of annual salary adjustment strategies .
· Automated batch processing of payroll calculations, individual income tax, and social security audits .
8. Employee Relations Module: AI + Labor Relations and Compliance Management
· AI-assisted writing of corporate management policies and process documentation .
· AI Legal Assistant: Handling recommendations for labor disputes and compliance risk warnings .
· AI design for exit interview outlines and employee satisfaction analysis .
· AI early warnings for employees with high turnover risks to optimize talent retention strategies .
· AI Digital Employees: 24/7 automated support answering routine employee inquiries .
· AI collection and interpretation of the latest human resource policies and legal regulations .
9. Organizational Development Module: AI + Organizational Diagnosis and Efficiency Enhancement
· AI + McKinsey 7S Model for organizational diagnosis .
· AI-assisted design of job descriptions and qualification standards .
· AI construction of competency models and talent inventories .
· AI-assisted succession planning and talent pipeline construction .
10. Risk Module: Compliance and Ethics in AI Applications
· Data privacy protection: Personal Information Protection Law (PIPL) and corporate compliance obligations .
· Reviewing AI-generated content (AIGC) and defining liability .
· Data desensitization and privacy protection technologies .
Note: The course content can be customized and adjusted according to the actual needs of the enterprise .