Role-Based Programme
RB1448

AI-Powered Learning & Development

Smarter Training Design, Content Creation & Learning Impact

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Learning & Development across needs analysis, programme design, content creation, learner engagement, and evaluation.
  • Explore practical prompting techniques for learning objectives, training outlines, activities, assessments, and learner communication.
  • Apply AI to organise learning requirements, create training content, structure learning journeys, and support recurring L&D workflows.
  • Identify opportunities to improve instructional-design productivity, content quality, personalisation, and training effectiveness.
  • Recognise intellectual property, learner privacy, content accuracy, bias, accessibility, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Learning Needs AnalysisTraining Content CreationAssessment SupportLearning Path DesignLearner CommunicationTraining Feedback AnalysisBasic Workflow Automation

Who should attend

  • Learning & Development Professionals
  • L&D Executives
  • L&D Specialists
  • Learning Designers
  • Instructional Designers
  • Training Managers
  • Training Coordinators
  • Capability Development Professionals
  • Talent Development Professionals
  • Corporate Trainers
  • Learning Experience Designers
  • Learning Operations Professionals
  • Learning & Development Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Learning & Development or corporate-training activities
  • Familiarity with training needs, learning objectives, course content, assessments, or learner communication is helpful
  • Basic computer and office-productivity skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to modern Learning & Development
  • Identifying AI applications across needs analysis, instructional design, content creation, delivery support, and evaluation
  • Understanding AI assistance versus L&D professional and subject-matter-expert judgement
  • Recognising learning decisions requiring validated business context and human review
Practical activities
  • Mapping common L&D activities to potential AI applications
  • Comparing a traditional training-development task with an AI-assisted approach

Scenarios

Business Skill Gap to Training Programme Design

Business Need → AI-Assisted Skill Gap Analysis → Learner Profile → Learning Objectives → Programme Outline → Activities → Assessment Plan

Participants use AI to convert a sample capability requirement into a structured learning programme while retaining final design decisions with authorised L&D professionals and subject-matter experts.

Training Feedback to Learning Improvement Plan

Learner Feedback + Assessment Results → AI-Assisted Analysis → Recurring Themes → Learning Gaps → Improvement Actions → L&D Summary

Participants use AI to analyse sample post-training data, identify recurring learner themes, and prepare a structured improvement plan while retaining final programme decisions with authorised L&D stakeholders.

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