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AI+ Learning & Development

SS Course: 3000818

Course Overview

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Transform your Learning & Development departments with our training program. This AI+ Learning & Development course equips L&D professionals with the skills to harness AI for creating adaptive learning systems, personalized content, and data-driven training strategies. Learn to implement AI technologies to enhance learning outcomes and efficiency. Join us today to lead the way in AI-driven learning and development.                                                                  

Scheduled Classes

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02/12/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
03/06/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
04/13/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
05/14/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
06/11/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)

What You'll Learn

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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.

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.
 

Outline

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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

Prerequisites

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  • 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

    Who Should Attend

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    • Content Strategist
    • Learning and Development Specialist

    Next Step Courses

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