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AI+ Learning & Development™

Course code: AP420

Price of the certification exam is included in the price of the course.

Formerly known as AI+ Learning & Development™

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
Akční cena
140 EUR

169 EUR including VAT

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 140 EUR Akční cena

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Starting
date		 Place
Type Course
duration		 Language Price without VAT
Upon request Self-paced 8 hours en A 140 EUR Register
G Guaranteed course
A Akční cena

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Course description

Growing Demand for AI-Integrated Training Experts:

Organizations are actively seeking certified experts who can integrate AI with training programs to personalize learning and improve employee performance.

Challenges of Poor AI Integration in Training:

Inadequate integration of AI in learning and development programs can lead to ineffective training, low engagement, and poor employee outcomes.

Creating AI-Powered Learning Strategies:

Certified professionals play a key role in developing AI-powered learning strategies that ensure continuous improvement, skill enhancement, and alignment.

Career Advancement:

As AI transforms the learning and development sector, this certification provides professionals with the expertise to stay ahead and take on advanced roles.

  • LinkedIn Learning
  • EdCast
  • Synthesia
  • FairSight
  • 360Learning

Target group

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.

Course structure

Course Overview

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

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

Do you need advice or a tailor-made course?

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+420 731 175 867

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Certification

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

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