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  

Course Overview

* 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

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

Instructor-led OR Self-paced course + Official exam + Digital badge