AI+ Learning & Development™ eLearning

AI-Enhanced Learning: Where Knowledge Meets Innovation

• 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

1. Course Introduction Preview Module 1: Introduction to Artificial Intelligence (AI) in Education
   • 1.1 Overview of Artificial Intelligence
   • 1.2 AI’s Role in Education and Training
   • 1.3 Impact of AI on Educational Content Creation
   • 1.4 AI in Assessment and Feedback
   • 1.5 Ethical Considerations and Challenges
   Module 2: Machine Learning Fundamentals
   • 2.1 Introduction to Machine Learning
   • 2.2 Supervised Learning
   • 2.3 Unsupervised Learning
   • 2.4 Reinforcement Learning
   • 2.5 Machine Learning in Practice
   Module 3: Natural Language Processing (NLP) for Educational Content
   • 3.1 Fundamentals of NLP in Education
   • 3.2 Content Analysis and Enhancement
   • 3.3 Personalized Learning and Adaptive Content
   • 3.4 Assessment and Feedback Automation
   Module 4: AI-Driven Content Creation and Curation
   • 4.1 AI in Generating Educational Content
   • 4.2 Adaptive Learning Materials Creation
   • 4.3 Dynamic Assessment Item Generation
   • 4.4 Curating Educational Resources
   • 4.5 Challenges and Ethical Considerations in AI-Driven Content
   Module 5: Adaptive Learning Systems
   • 5.1 Foundations of Adaptive Learning
   • 5.2 Designing Adaptive Learning Systems
   • 5.3 Implementation Strategies
   • 5.4 Assessment and Evaluation in Adaptive Systems
   • 5.5 Ethical and Privacy Considerations
   Module 6: Ethics and Bias in AI for L&D
   • 6.1 Understanding AI Ethics in L&D
   • 6.2 Privacy Concerns in AI-Driven L&D
   • 6.3 Bias and Fairness in AI Assessments
   • 6.4 Ethical AI Use and Learner Engagement
   • 6.5 Future Challenges and Opportunities
   Module 7: Emerging Technologies and Future Trends
   • 7.1 Augmented Reality (AR) in Education
   • 7.2 Virtual Reality (VR) in Learning Environments
   • 7.3 AI-Driven Personalized Learning
   • 7.4 Blockchain in Education
   • 7.5 Emerging AI Technologies in Educational Research and Development
   Module 8: Implementation and Best Practices
   • 8.1 Strategic Planning for AI Integration
   • 8.2 Selecting the Right AI Tools
   • 8.3 Implementing AI Solutions
   • 8.4 Monitoring and Evaluating Impact
   • 8.5 Ethical Use and Data Governance
   Optional Module: AI Agents for Learning & Development
   • 1. Understanding AI Agents
   • 2. Case Studies
   • 3. Hands-On Practice with AI Agents
   Tools you will explore
   • LinkedIn Learning
   • EdCast
   • Synthesia
   • FairSight
   • 360Learning

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Self study materials are available for 365 days.