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AI+ Learning & Development™ Self-Paced Learning
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Introduction
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Introduction AI+ Learning & Development - Audio File
Module 1: Introduction to Artificial Intelligence (AI) in Education
1.0 Introduction: Introduction to Artificial Intelligence (AI) in Education
1.1 Definition and Types of AI
1.2 History of AI And Current Trends in AI
1.3 Personalized Learning And Automated Administration
1.4 Content Delivery and Adaptive Learning
1.5 Content Customization and Generation
1.6 Language Models in Education
1.7 Augmented and Virtual Reality
1.8 Automated Grading Systems
1.9 Predictive Analytics in Learner Performance
1.10 Feedback for Educators
1.11 Privacy and Data Security
1.12 Bias and Fairness And Future of AI in Education
1.13 Summary: Introduction to Artificial Intelligence (AI) in Education
Introduction to Artificial Intelligence (AI) in Education - Audio File
Module 1: Introduction to Artificial Intelligence (AI) in Education
Hands - On 1
Hands - On 2
Quiz
Module 2: Machine Learning Fundamentals
2.0 Introduction: Machine Learning Fundamentals
2.1 Definition and Core Concepts
2.2 Types of Machine Learning
2.3 Applications in L&D
2.4 Supervised Learning (Algorithm Fundamentals, Training and Testing Models, Use Cases in L&D)
2.5 Unsupervised Learning (Algorithm Fundamentals, Finding Patterns in Data, Use Cases in L&D)
2.6 Basic Principles
2.7 Reinforcement Learning (Basic Principles, Algorithm Examples, Applications of Reinforcement Learning)
2.8 Machine Learning in Practice (Data Preparation and Cleaning, Evaluating Model Performance, Ethical Considerations and Bias Mitigation)
2.9 Summary: Machine Learning Fundamentals
Machine Learning Fundamentals - Audio File
Module 2: Machine Learning Fundamentals
Hands - On 1
Hands - On 2
Quiz
Module 3: Natural Language Processing (NLP) For Educational Content
3.0 Introduction: Natural Language Processing (NLP) For Educational Content has context menu
3.1 Introduction to NLP
3.2 Key NLP Technologies
3.3 Language Models
3.4 Text Analysis for Learning Materials
3.5 Readability and Complexity Assessment
3.6 Semantic Content Enrichment
3.7 Learner Profiling and Needs Analysis
3.8 Adaptive Content Generation
3.9 Dialogue Systems and Chatbots for Learning
3.10 Automated Essay Scoring
3.11 Sentiment Analysis for Feedback Interpretation
3.12 Predictive Analytics for Performance Monitoring
3.13 Summary: Natural Language Processing (NLP) For Educational Content
Natural Language Processing (NLP) For Educational Content - Audio File
Module 3: Natural Language Processing (NLP) For Educational Content
Hands - On 1
Hands - On 2
Quiz
Module 4: AI-Driven Content Creation and Curation
4.0 Introduction: AI-Driven Content Creation and Curation
4.1 Automated Content Generation
4.2 Customization and Localization
4.3 Personalized Learning Paths
4.4 Integration with Learning Management Systems (LMS)
4.5 Automating Question Creation
4.6 Instant Feedback Mechanisms
4.7 Content Aggregation and Filtering
4.8 Continuous Content Update
4.9 Maintaining Accuracy and Reliability
4.10 Intellectual Property and Copyright Issues
4.11 Summary: AI-Driven Content Creation and Curation
AI-Driven Content Creation and Curation - Audio File
Module 4: AI-Driven Content Creation and Curation
Hands - On
Quiz
Module 5: Adaptive Learning Systems
5.0 Introduction: Adaptive Learning Systems
5.1 Principles of Adaptive Learning
5.2 Technologies Behind Adaptive Learning, Benefits and Challenges
5.3 Learner Modelling
5.4 Content Modelling And Adaptivity and Personalization Mechanisms
5.5 Integration with Existing Systems
5.6 Scalability, Accessibility, Continuous Improvement and Feedback Loops
5.7 Dynamic Assessment Methods
5.8 Feedback and Support And Measuring Effectiveness
5.9 Data Privacy and Security
5.10 Bias and Fairness in AI And Informed Consent and Transparency
5.11 Summary: Adaptive Learning Systems
Adaptive Learning Systems - Audio File
Module 5: Adaptive Learning Systems
Hands - On
Quiz
Module 6: Ethics and Bias in AI for L&D
6.0 Introduction: Ethics and Bias in AI for L&D
6.1 Fundamentals of AI Ethics
6.2 Ethical Design and Development
6.3 Data Privacy Principles
6.4 Consent and Data Control
6.5 Impact of Bias on L&D Outcomes
6.6 Strategies for Mitigating Bias, Continuous Monitoring and Evaluation
6.7 Engaging Learners Ethically
6.8 Transparency with AI Tools, Learner Autonomy and AI
6.9 Evolving Ethical Standards
6.10 Innovations in Ethical AI, Preparing for an AI-Ethical Future in L&D
6.11 Summary: Ethics and Bias in AI for L&D
Ethics and Bias in AI for L&D - Audio File
Module 6: Ethics and Bias in AI for L&D
Hands - On
Quiz
Module 7: Emerging Technologies and Future Trends
7.0 Introduction: Emerging Technologies and Future Trends
7.1 AR for Interactive Learning
7.2 Practical Applications of AR
7.3 Development Tools and Challenges
7.4 VR for Immersive Experiences
7.5 Curriculum Integration
7.6 Hardware and Software Considerations
7.7 Adaptive Learning Platforms
7.8 Predictive Analytics in Education
7.9 Secure Learning Records
7.10 Smart Contracts for Education
7.11 Natural Language Processing (NLP) Enhancements
7.12 Generative AI for Content Creation
7.13 Summary: Emerging Technologies and Future Trends
Emerging Technologies and Future Trends - Audio File
Module 7: Emerging Technologies and Future Trends
Hands - On
Quiz
Module 8: Implementation and Best Practices
8.0 Introduction: Implementation and Best Practices
8.1 Needs Assessment
8.2 Technology Alignment and Stakeholder Engagement
8.3 Evaluating AI Solutions
8.4 Cost-Benefit Analysis and Vendor Selection and Partnerships
8.5 Pilot Programs
8.6 Training and Support, Integration with Existing Systems
8.7 Performance Metrics
8.8 Continuous Feedback Loops
8.9 Adaptive Learning and Iteration
8.10 Data Privacy and Security
8.11 Ethical AI Practices
8.12 Regulatory Compliance
8.13 Summary: Implementation and Best Practices
Implementation and Best Practices - Audio File
Module 8: Implementation and Best Practices
Hands - On
Quiz
Additional Module - AI Agents For L&D
AI Agent L&D
Resources
AI+ L&D Blueprint
AI+ L&D Detailed Curriculum
AI+ L&D Tools
AI+ L&D Reference Videos and Links
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ L&D Examination
AI+ L&D Examination
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AI+ Learning & Development™ Self-Paced Learning
