AI+ Learning & Development Practitioner™ eLearning

• 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.

• 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.

Inhoud

• Course Introduction Preview

• 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

• 2.1 Introduction to Machine Learning
• 2.2 Supervised Learning
• 2.3 Unsupervised Learning
• 2.4 Reinforcement Learning
• 2.5 Machine Learning in Practice

• 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

• 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

• 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

• 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

• 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

• 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

• 1. Understanding AI Agents
• 2. Case Studies
• 3. Hands-On Practice with AI Agents

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

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

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

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

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