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AI+ Learning & Development™ Self-Paced Learning V3
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Datos del curso
General
Course Introduction
Introduction AI+ Learning & Development - Audio File
Module 1: Introduction to Artificial Intelligence (AI) in Education
1.1 Definition and Types of AI
1.2 AI: Evolution and Current Trends
Activity 1
1.3 Personalized Learning
1.4 Automated Adaptive Learning and Content Delivery
Activity 2
1.5 Language Models for Personalized Learning
1.6 Augmented and Virtual Reality
Activity 3
1.7 Predictive Analytics in Grading
1.8 Feedback for Educators
Activity 4
1.9 Privacy, Data Security, and Bias in AI Grading Systems
1.10 Future of AI in Education
Activity 5
Activity 6
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
2.1 Machine Learning: Concepts and Types
2.2 Applications in L&D
Activity 1
2.3 Algorithm Basics: Training & Testing
2.4 Use Cases in L&D (Supervised Learning)
Activity 2
2.5 Algorithm Basics: Finding Patterns in Data
2.6 Use Cases in L&D (Unsupervised Learning)
Activity 3
2.7 Basics and Key Algorithms of Reinforcement Learning
2.8 Applications of Reinforcement Learning
Activity 4
2.9 Data Cleaning and Model Evaluation
2.10 Ethical Considerations and Bias Mitigation
Activity 5
Activity 6
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
3.1 Introduction to NLP
3.2 Key NLP Technologies and Language Models
Activity 1
3.3 Text Analysis for Learning Materials
3.4 Readability and Complexity Assessment
3.5 Semantic Content Enrichment
Activity 2
3.6 Learner Profiling and Needs Analysis
3.7 Dialogue Systems and Chatbots for Learning
Activity 3
3.8 Automated Essay Scoring
3.9 Sentiment Analysis for Feedback Interpretation
3.10 Predictive Analytics for Performance
Activity 4
Activity 5
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
4.1 Automated Content Generation
4.2 Enhancing Creativity, Customization and Localization
Activity 1
4.3 Personalized Learning Paths and Real-time Content Adaptation
4.4 Integration with Learning Management Systems (LMS)
Activity 2
4.5 Automating Question Creation and Adaptive Testing
4.6 Instant Feedback Mechanisms
Activity 3
4.7 Content Aggregation and Filtering
4.8 Relevance, Quality Scoring and Continuous Content Update
Activity 4
4.9 Maintaining Accuracy ,Reliability and Addressing Bias
4.10 Intellectual Property and Copyright Issues
Activity 5
Activity 6
AI-Driven Content Creation and Curation - Audio File
Module 4: AI-Driven Content Creation and Curation
Hands - On
Quiz
Module 5: Adaptive Learning Systems
5.1 Principles of Adaptive Learning
5.2 Adaptive Learning: Technologies, Benefits, and Challenges
Activity 1
5.3 Learner Modelling
5.4 Content Modelling and Adaptivity and Personalization Mechanisms
Activity 2
5.5 Integration with Existing Systems
5.6 Scalability, Accessibility, Continuous Improvement and Feedback Loops
Activity 3
5.7 Dynamic Assessment Methods
5.8 Feedback, Support, and Measuring Effectiveness
Activity 4
5.9 Data Privacy and Security
5.10 Bias, Fairness, Informed Consent, and Transparency in AI
Activity 5
Activity 6
Adaptive Learning Systems - Audio File
Module 5: Adaptive Learning Systems
Hands - On
Quiz
Module 6: Ethics and Bias in AI for L&D
6.1 Fundamentals of AI Ethics, Ethical Design and Development
6.2 Global Perspectives on AI Ethics
Activity 1
6.3 Data Privacy Principles, Consent and Data Control
6.4 Mitigating Privacy Risks
Activity 2
6.5 Identifying Biases in AI
6.6 Impact of Bias and Strategies for Mitigating Bias
Activity 3
6.7 Engaging Learners Ethically and Transparency with AI Tools
6.8 Learner Autonomy and AI
Activity 4
6.9 Evolving Ethical Standards and Innovations in Ethical AI
6.10 Preparing for an AI-Ethical Future in L&D
Activity 5
Activity 6
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
7.1 AR for Interactive Learning
7.2 Practical Applications of AR and Development Tools and Challenges
Activity 1
7.3 VR for Immersive Experiences and Curriculum Integration
7.4 Hardware and Software Considerations
Activity 2
7.5 Adaptive Learning Platforms
7.6 Predictive Analytics in Education and Ethical and Privacy Concerns
Activity 3
7.7 Secure Learning Records
7.8 Smart Contracts for Education and Decentralized Education Systems
Activity 4
7.9 Natural Language Processing (NLP) Enhancements and Generative AI for Content Creation
7.10 Ethical AI and Inclusive Technologies
Activity 5
Activity 6
Emerging Technologies and Future Trends - Audio File
Module 7: Emerging Technologies and Future Trends
Hands - On
Quiz
Module 8: Implementation and Best Practices
8.1 Needs Assessment
8.2 Technology Alignment and Stakeholder Engagement
Activity 1
8.3 Evaluating AI Solutions
8.4 Cost-Benefit Analysis and Vendor Selection
Activity 2
8.5 Pilot Programs
8.6 Training, Support & Integration
Activity 3
8.7 Performance Metrics and Feedback Loops
8.8 Adaptive Learning and Iteration
Activity 4
8.9 Data Privacy and Security
8.10 Ethical AI Practices and Regulatory Compliance
Activity 5
Activity 6
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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Feedback Survey Form
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Información del curso
AI+ Learning & Development™ Self-Paced Learning V3
Skill Level
:
Beginner
certificate name
:
AI+ L&D™
Badge
:
Badge_AI+-L&D.png
Course Layout
:
Standard
