Duration
5 days
Course Objective
Equip participants with the knowledge and skills to integrate AI technologies into HR systems, enhancing functionalities such as recruitment, employee engagement, performance analysis, and predictive analytics.
Course Outlines
- Overview of AI
- Definition and history of AI
- Key AI concepts: Machine Learning, Deep Learning, Natural Language Processing (NLP)
- AI ethics and considerations
- AI in HR: Opportunities and Challenges
- Use cases of AI in HR: recruitment, employee engagement, performance management, retention
- Challenges and limitations of AI in HR
- Case studies of AI implementation in HR systems
- Setting up the AI Development Environment
- Overview of tools and frameworks: Python, TensorFlow, Keras, scikit-learn, NLTK
- Setting up the development environment
- Introduction to Jupyter Notebooks
- Machine Learning Basics
- Supervised vs. unsupervised learning
- Key algorithms: linear regression, decision trees, clustering
- Evaluation metrics
- Predictive Analytics in HR
- Building predictive models for employee turnover
- Analyzing employee performance data
- Case study: Predicting employee attrition
Hands-on Workshop
- Implementing a predictive model using Python
- Data preprocessing and feature engineering
- Model training, evaluation, and validation
- Introduction to NLP
- NLP concepts and techniques
- Text preprocessing: tokenization, stemming, lemmatization
- Sentiment analysis
- Chatbots for Employee Engagement
- Designing and developing HR chatbots
- Integrating chatbots into HR systems
- Case study: HR chatbots for recruitment and onboarding
Hands-on Workshop
- Building a simple HR chatbot using Python and NLTK
- Implementing sentiment analysis for employee feedback
- Deep Learning Basics
- Introduction to neural networks and deep learning
- Key architectures: CNNs, RNNs, LSTMs
- Applications of deep learning in HR
- Image and Video Analysis in HR
- Using computer vision for candidate screening
- Analyzing video interviews
- Case study: Automated resume screening
Hands-on Workshop
- Implementing a deep learning model using TensorFlow/Keras
- Building a CNN for resume image classification
- Video analysis for interview evaluation
- AI System Integration
- Integrating AI models into existing HR systems
- APIs and microservices for AI deployment
- Security and privacy considerations
Programme scope, delivery arrangements and suitability are confirmed during enquiry.