Artificial Intelligence in Human Resources
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INTRODUCTION
Artificial intelligence is improving and influencing the human resources sector, especially in recruitment processes and the automation of administrative functions. This course covers the concept of artificial intelligence and how it changes the process and management of human resources.
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COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Understand of what artificial intelligence is,
- Learn human resource challenges
- Use artificial intelligence to address challenges
- Determine the use cases of artificial intelligence in the human resources sector
- Learn about the impact of artificial intelligence on human resources
- Create an effective training plan
- Create recommendations
- Anticipate future performance
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COURSE AUDIENCE
This course is made for
- Business Men
- Business Unit Managers
- Business Development consultants
- Marketing Consultants
- Marketing Development Managers
- General Managers
- Leaders
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COURSE OUTLINE
Day One
AI and HR
- Introduction to HR
- HR Challenges
- Introduction to AI
- Applying AI in Human Resources Management
- Common Application of AI in HR
- Candidate Sourcing
- Sentiment Analysis
- Predictive Modeling
- Service Provision
Day Two
The Impact of Artificial Intelligence on Human Resources
- Automate tedious and time-consuming tasks
- Increase human capabilities
- Exaggeration of human functions
- Shaping the future of work with AI and augmentation
- Impact of artificial intelligence and augmentation on individuals and the organization
- Implement AI tools within HR
Day Three
Use Cases of AI in HR
- Predicting Employee Attrition
- Employee Attrition
- Classification with Deep Learning
- Data for Employee Attrition
- Pre-processing Attrition Date
- Building an Attrition Model with Keras
- Predicting Attrition with Keras
Day Four
Mapping Collaboration
- Organizational design
- Network analysis
- Data for network analysis
- Prepare Network Data
- Create and Visualize Networks
Day Five
Creating Training Plans and Recommendations
- Employee Development
- User item recommendations
- Ratings data for recommendations
- Building a Keras rating model
- Recommending Courses with Keras
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