AI for Learning & Development
Overview
AI can help learning teams analyse needs faster, create content in hours, personalise learning paths and measure impact more precisely. This course gives L&D professionals practical methods and tools to use AI across the learning cycle while keeping quality and learner trust high.
Who should attend
L&D managers, instructional designers, trainers, and HR professionals responsible for capability building.
Training methodology
Interactive presentations, live demonstrations of AI tools, hands-on exercises using participants' own work examples, case studies, group discussion, and a personal action plan.
Objectives
By the end of this course, participants will be able to:
- Use AI to analyse training needs and skills gaps
- Design and develop learning content with AI
- Create personalised and adaptive learning paths
- Use AI tutors and practice tools
- Measure learning impact with AI-supported analytics
Course outline
Day 1AI and the Learning Cycle
- Where AI fits in L&D
- Tools overview
- Quality and accuracy risks
- Opportunity mapping
- Learning ecosystem review
- Copyright and content ownership
Day 2Needs Analysis
- Skills data and gap analysis
- Surveys and interviews with AI
- Prioritising learning needs
- Exercise
- Linking needs to strategy
- Learner personas
Day 3Content Design and Development
- From objectives to outlines
- Generating cases, quizzes and scenarios
- Reviewing AI-made content
- Build session
- Video and audio content
- Arabic and English materials
Day 4Personalised Learning
- Adaptive learning paths
- AI tutors and coaches
- Practice simulations
- Demonstration
- Microlearning
- Coaching bots for managers
Day 5Measuring Impact
- Learning analytics
- Linking learning to performance
- Reporting to leadership
- L&D AI roadmap
- Evaluation models
- Budgeting for AI in L&D
