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AI+ Learning and Development (AI+ Learning and Development)

AI CERTS
1 Days
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    • T87319
    • 1 day
    • 06/12/2025 - 06/12/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
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    • T87320
    • 1 day
    • 07/10/2025 - 07/10/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
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    • T87321
    • 1 day
    • 08/07/2025 - 08/07/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
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    • T87322
    • 1 day
    • 09/11/2025 - 09/11/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
    Enroll Now
    • T87323
    • 1 day
    • 10/09/2025 - 10/09/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
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Course Summary
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Description

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. 

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.

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.

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
  • AI+ Everyone

Who Should Attend

  • Content Strategist
  • Learning and Development Specialist

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

Ethics and Bias in AI for L&D

  • Understanding AI Ethics in L&D
  • Privacy Concerns in AI-Driven L&D
  • Bias and Fairness in AI Assessments
  • Ethical AI Use and Learner Engagement
  • Future Challenges and Opportunities

Emerging Technologies and Future Trends

  • Augmented Reality (AR) in Education
  • Virtual Reality (VR) in Learning Environments
  • AI-Driven Personalized Learning
  • Blockchain in Education
  • Emerging AI Technologies in Educational Research and Development

Implementation and Best Practices

  • Strategic Planning for AI Integration
  • Selecting the Right AI Tools
  • Implementing AI Solutions
  • Monitoring and Evaluating Impact
  • Ethical Use and Data Governance

Optional Module: AI Agents for Learning & Development

  • Understanding AI Agents
  • Case Studies
  • Hands-On Practice with AI Agents