Product Details
Estimated length: 3 hours
Access Time: 90 days
Artificial Intelligence for HR Professionals current price is $79
Topics Covered
- artificial intelligence
- machine learning
- deep learning
- talent acquisition and development
- compensation and benefits
- employee relations and engagement
- performance management
Key Features
- Mobile-friendly
- Audio-enabled
- Badge and credit-awarding
- Fully accessible
- Games & Flashcards
- Expert-supported
- Video content
Course Preview
Course Description
In Artificial Intelligence for HR Professionals, you will learn about different kinds of artificial intelligence (AI), including machine learning, deep learning, and generative AI. You will then explore how AI impacts talent acquisition, talent development, compensation and benefits, employee relations and engagement, and performance management. This course will explain the benefits and challenges of using AI, which HR responsibilities are best assisted by AI tools, and ...
Learning Outcomes
- Define the phases of artificial intelligence (AI)
- Differentiate between supervised learning, unsupervised learning, and reinforcement learning
- Identify HR applications of machine learning, deep learning, and generative AI
- Explain how AI supports talent acquisition and talent management
- Describe how AI impacts compensation management and performance management
- Explain how AI affects employee relations and engagement
- Identify the most effective training data to best utilize AI
- Describe ethical issues and biases related to AI
- Identify advantages and disadvantages of utilizing AI tools to achieve inclusivity initiatives
- Explain AI-related legislation pertaining to HR functions
Notes
This course has an "Ask the Expert" feature, which submits your questions directly to an expert in the field you are studying. Questions are answered as quickly as possible and usually within 24 hours.
As an Accredited Provider, MindEdge offers for its learning events that comply with the Continuing Education and Training Standard.
Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive credit. Learners will have three attempts at all graded assessments.
