Artificial Intelligence (AI) for Training, Competence &
Human Performance

Introduction

As organizations accelerate toward digital transformation, the ability to build, assess, and sustain workforce competence has become a strategic priority. Artificial intelligence is reshaping how training is designed, delivered, and evaluated - enabling personalized learning pathways, automated assessments, predictive competence analytics, and real‑time performance support. This training course provides a comprehensive, practical exploration of how AI can elevate human performance, strengthen organizational capability, and modernize training ecosystems across technical, operational, and safety‑critical environments.

Delegates will learn how AI enhances instructional design, accelerates skill acquisition, and supports continuous competence development. The training course covers intelligent tutoring systems, adaptive learning platforms, AI‑driven simulations, automated content generation, and performance analytics. Participants will also examine how AI can identify skill gaps, forecast training needs, and support human reliability through cognitive augmentation.

By the end of the training course, delegates will be equipped to integrate AI into their training strategies, design AI‑enabled learning solutions, and lead competence transformation initiatives that improve productivity, safety, and operational excellence. This training course is ideal for organizations seeking to future‑proof their workforce and unlock the full potential of human‑machine collaboration.

This GLOMACS Artificial Intelligence (AI) for Training, Competence & Human Performance training course will highlight:

• AI fundamentals for training, competence, and human performance
• Adaptive learning and personalized training pathways
• AI‑driven competence assessment and skills analytics
• Intelligent tutoring systems and digital coaching
• AI for human reliability, error reduction, and cognitive support
• Automated content creation and curriculum development
• Predictive analytics for workforce planning and capability forecasting
• Ethical, psychological, and organizational considerations

Objectives

By the end of this Artificial Intelligence (AI) for Training, Competence & Human Performance training course, participants will learn to:

• Understand how AI transforms training and human performance systems
• Apply AI tools to design and deliver adaptive learning experiences
• Use analytics to measure competence, performance, and skill progression
• Develop AI‑enabled assessment and evaluation frameworks
• Strengthen human reliability through cognitive augmentation
• Build a roadmap for AI‑driven training transformation

Training Methodology

This training course is delivered through a blend of instructor-led presentations, live demonstrations, guided exercises, and real-world case studies. Participants will work with actual AI tools, explore practical engineering scenarios, and complete hands-on activities that reinforce learning. The training course is structured to be interactive, engaging, and immediately applicable to workplace challenges. Materials include slides, examples, and references.

Organisational Impact

Organizational will benefit as a result of:

• Stronger workforce capability and reduced skills gaps
• Improved training efficiency and reduced development time
• Enhanced human reliability and reduced operational errors
• Data‑driven competence management and workforce planning
• Scalable, personalized learning across the organization
• Increased productivity through AI‑supported performance

Personal Impact

Participants will benefit as a result of:

• Enhanced ability to design and deliver AI‑enabled training
• Stronger analytical and instructional design skills
• Increased confidence in using AI tools for competence development
• Improved ability to support human performance in complex environments
• Greater career mobility in digital learning and workforce transformation