AI+ Learning & Development Practitioner™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Learning & Education

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
  • Open course Not available in this format
  • Private in-house Any of our courses for your team Request a quote

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

Private training for your team?

Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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