- COURSE
AI+ Learning & Development
Price:
Duration:
Exam:
The AI Learning & Development course teaches participants how to incorporate AI into learning and development strategies to enhance training programs, skill assessments, and employee growth.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Required:
- A basic understanding of artificial intelligence concepts and terminologies
- Proficiency in using digital tools and platforms for educational purposes
- Familiarity with learning theories and instructional design principles
- Some experience in educational or training roles, such as teaching, content development, or instructional design
- A willingness to engage with technical subjects and apply AI technologies in the context of learning and development
Recommended:
- AI+ Executive or AI+ Everyone
Target Audience
- Content Strategist
- Learning and Development Specialist
Course Objectives
- Gain an in-depth understanding of artificial intelligence's integration in education, focusing on its effects on content creation, assessments, feedback mechanisms, and ethical issues.
- Learn key concepts and methods of machine learning, including various types of learning processes, and their practical applications in enhancing educational outcomes.
- Investigate the use of natural language processing in improving content analysis, personalization of learning experiences, and the automation of educational assessments and feedback.
- Acquire skills to utilize AI for the creation and curation of educational materials, understanding adaptive content generation and addressing ethical concerns related to AI content management.
- Understand the principles behind adaptive learning systems, focusing on their design, implementation, and evaluation, while considering ethical and privacy issues in personalized education.
Course Outline
Introduction to Artificial Intelligence (AI) in Education
- Overview of Artificial Intelligence
- AI’s Role in Education and Training
- Impact of AI on Educational Content Creation
- AI in Assessment and Feedback
- Ethical Considerations and Challenges
Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Machine Learning in Practice
Natural Language Processing (NLP)for Educational Content
- Fundamentals of NLP in Education
- Content Analysis and Enhancement
- Personalized Learning and Adaptive Content
- Assessment and Feedback Automation
AI-Driven Content Creation and Curation
- AI in Generating Educational Content
- Adaptive Learning Materials Creation
- Dynamic Assessment Item Generation
- Curating Educational Resources
- Challenges and Ethical Considerations in AI-Driven Content
Adaptive Learning Systems
- Foundations of Adaptive Learning
- Designing Adaptive Learning Systems
- Implementation Strategies
- Assessment and Evaluation in Adaptive Systems
- Ethical and Privacy Considerations
Course Delivery Options
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.