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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

 

Enroll Now
AI+ Learning & Development™
Self-Paced Online
USD $ 195.00
Instructor-Led Online
USD $ 1110.00

At a Glance: Course + Exam Overview

Our training approach is human‑centred and outcomes‑driven. We focus on what learners can apply confidently.

Category
AI Learning & Education
AI Professional
AI Learning & Education
All Courses
Educator / Learning Specialist
English
Human Resources Specialist
Language
Program Name
AI+ Learning & Development™
Duration
  • Instructor‑Led: 1 Day
  • Self‑Paced: 8 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
Exam details not available.

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

Industry Opportunities

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Learning and Development Specialist

Design AI-focused training programs, enhance learning experiences, and evaluate training effectiveness.

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Corporate Training Developer

Create customized AI training materials, conduct workshops, and develop e-learning courses to ensure employees are proficient.

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Educational Program Designer

Develop curricula integrating AI concepts, design engaging learning modules, and collaborate with educators.

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Workforce Development Expert

Strategize workforce training in AI skills, identify skill gaps, and foster a culture of innovation and continuous learning.

Frequently Asked Questions

Is prior AI knowledge required to take this course?
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.
Who should take this course?
This course is ideal for educators, instructional designers, training professionals, and anyone interested in leveraging AI to enhance learning outcomes.
What are the benefits of completing the capstone project?
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.
What career opportunities does this certification open up?
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.
What industries can benefit from the skills learned in this course?
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

  • 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 Details

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%
Self-Paced Online

Self-Paced: 8 hours of content

USD $ 195.00
Purchase Self-Paced Course
Instructor-Led Online

Instructor-Led: 1 day (live or virtual) 

USD $ 1110.00
Purchase Instructor-Led Course

Core AI Tools Covered

LinkedIn Learning

LinkedIn Learning

EdCast

EdCast

Synthesia

Synthesia

FairSight

FairSight

360Learning

360Learning