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    • AI+ Learning Development™

    • Education Innovation: Designed for educators and trainers to leverage AI in learning
    • Deep Insights: Includes ML, NLP, Data Analytics, and adaptive learning strategies
    • Capstone Delivery: Build AI-powered learning solutions tailored to diverse needs
    • Ethical Education: Address ethics, data-driven instruction, and emerging trends

     

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    AI+ Learning Development™
    Price: USD $190.00

    At a Glance: Course + Exam Overview

    Category AI Learning & Education
    AI Professional
    Program Name AI+ Learning Development™
    Duration
    • Instructor-Led: 1 Day
    • Self-Paced: 6 hours of content
    Prerequisites
      • 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. 
    Exam Format 50 questions, 70% passing, 90 Minutes

    What You'll Learn

    • AI Content Development
      Learners will gain the ability to use AI for creating and curating educational content, leveraging AI-driven tools to tailor and optimize learning materials.
    • Implementation of Adaptive Learning Systems
      Students will develop skills in designing and implementing adaptive learning systems that use AI to customize the educational experience based on individual learner's needs and performance.
    • Application of NLP in Educational Settings
      Learners who will go through this course will get skills in natural language processing to analyze and understand educational content, enhancing interactions between learners and digital educational platforms.
    • Educational Data Mining and Analytics
      Learners will explore techniques in data mining and analytics to understand patterns and trends in student learning behaviors, performance, and engagement. This knowledge enables the development of more effective educational strategies and personalized learning experiences, helping educators and institutions to enhance outcomes and optimize educational processes.

    Certification Modules

    Course Overview

    1. Course Introduction Preview

    Module 1: Introduction to Artificial Intelligence (AI) in Education

    1. 1.1 Overview of Artificial Intelligence
    2. 1.2 AI’s Role in Education and Training
    3. 1.3 Impact of AI on Educational Content Creation
    4. 1.4 AI in Assessment and Feedback
    5. 1.5 Ethical Considerations and Challenges

    Module 2: Machine Learning Fundamentals

    1. 2.1 Introduction to Machine Learning
    2. 2.2 Supervised Learning
    3. 2.3 Unsupervised Learning
    4. 2.4 Reinforcement Learning
    5. 2.5 Machine Learning in Practice

    Module 3: Natural Language Processing (NLP) for Educational Content

    1. 3.1 Fundamentals of NLP in Education
    2. 3.2 Content Analysis and Enhancement
    3. 3.3 Personalized Learning and Adaptive Content
    4. 3.4 Assessment and Feedback Automation

    Module 4: AI-Driven Content Creation and Curation

    1. 4.1 AI in Generating Educational Content
    2. 4.2 Adaptive Learning Materials Creation
    3. 4.3 Dynamic Assessment Item Generation
    4. 4.4 Curating Educational Resources
    5. 4.5 Challenges and Ethical Considerations in AI-Driven Content

    Module 5: Adaptive Learning Systems

    1. 5.1 Foundations of Adaptive Learning
    2. 5.2 Designing Adaptive Learning Systems
    3. 5.3 Implementation Strategies
    4. 5.4 Assessment and Evaluation in Adaptive Systems
    5. 5.5 Ethical and Privacy Considerations

    Module 6: Ethics and Bias in AI for L&D

    1. 6.1 Understanding AI Ethics in L&D
    2. 6.2 Privacy Concerns in AI-Driven L&D
    3. 6.3 Bias and Fairness in AI Assessments
    4. 6.4 Ethical AI Use and Learner Engagement
    5. 6.5 Future Challenges and Opportunities

    Module 7: Emerging Technologies and Future Trends

    1. 7.1 Augmented Reality (AR) in Education
    2. 7.2 Virtual Reality (VR) in Learning Environments
    3. 7.3 AI-Driven Personalized Learning
    4. 7.4 Blockchain in Education
    5. 7.5 Emerging AI Technologies in Educational Research and Development

    Module 8: Implementation and Best Practices

    1. 8.1 Strategic Planning for AI Integration
    2. 8.2 Selecting the Right AI Tools
    3. 8.3 Implementing AI Solutions
    4. 8.4 Monitoring and Evaluating Impact
    5. 8.5 Ethical Use and Data Governance

    Optional Module: AI Agents for Learning & Development

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • Learning and Development Specialist
      Learning and Development Specialist
      Design AI-focused training programs, enhance learning experiences, and evaluate training effectiveness.
    • Corporate Training Developer
      Corporate Training Developer
      Create customized AI training materials, conduct workshops, and develop e-learning courses to ensure employees are proficient.
    • Educational Program Designer
      Educational Program Designer
      Develop curricula integrating AI concepts, design engaging learning modules, and collaborate with educators.
    • Workforce Development Expert
      Workforce Development Expert
      Strategize workforce training in AI skills, identify skill gaps, and foster a culture of innovation and continuous learning.

    Frequently Asked Questions

    No prior AI knowledge is required. The course starts with foundational concepts and progresses to advanced topics, making it accessible to learners with varying levels of experience.

    This course is ideal for educators, instructional designers, training professionals, and anyone interested in leveraging AI to enhance learning outcomes.

    The capstone project allows participants to apply their learning in a practical setting, addressing genuine educational issues using AI-driven strategies, thereby enhancing their skills and credentials.

    This certification equips individuals to lead AI initiatives in educational institutions, design innovative learning solutions, and contribute to the future of educational technology as AI specialists or consultants.

    The skills acquired in this course are applicable across various educational sectors including K-12 education, higher education, corporate training, and any industry that focuses on learning and development.

    Prerequisites

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    Exam Details

    Duration

    90 Minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Introduction to Artificial Intelligence (AI) in Education 15%
    Machine Learning Fundamentals 10%
    Natural Language Processing (NLP) for Educational Content 15%
    AI-Driven Content Creation and Curation 15%
    Adaptive Learning Systems 15%
    Ethics and Bias in AI for L&D 10%
    Emerging Technologies and Future Trends 10%
    Implementation and Best Practices 10%
    Course Price: USD $190.00
    Self-Paced Online
    • 6 hours of on-demand video lessons, e-book, and podcasts
    • Learn anywhere, anytime, with modular quizzes to track progress
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)
    • 1 day of intensive training with live demos
    • Real-time Q&A and peer collaboration
    • Led by AI Certified Trainers and delivered through Authorized Training Partners