AI+ Learning & Development
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
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
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.
All Sunset Learning dates are guaranteed to run!
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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