AI+ Learning & Development Practitioner™
- From 200 EUR + VAT
- Self-paced online Start anytime
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Learning & Education
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- 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
Prerequisites
Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.
Audience
Who is it for
Learning and Development Professionals: Enhance employee training and development strategies using AI-driven learning tools.
Instructional Designers: Apply AI techniques to design personalized learning experiences and optimize content delivery.
AI Specialists: Leverage AI to create innovative solutions for improving learning outcomes and enhancing educational platforms.
HR Professionals & Organizational Development Experts: Implement AI-powered systems to analyze employee performance and optimize training programs.
Students & New Graduates: Build essential skills in AI and learning technologies to excel in the evolving field of education and training.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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