Role-Based Programme
RB1450

AI-Powered Learning & Development

Smarter Learning Needs Analysis, Content Design & Capability Development

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Learning & Development activities including learning-needs analysis, programme design, content creation, assessment development, facilitation support, and reporting.
  • Use AI-assisted techniques to identify capability gaps, map skills, create learning pathways, develop training content, and analyse learning data more efficiently.
  • Develop structured workflows for training-needs analysis, instructional design, programme development, learner communication, evaluation, and continuous improvement.
  • Improve learning effectiveness through AI-assisted personalisation support, assessment analysis, skills insights, learning analytics, and management reporting.
  • Apply responsible AI practices covering learner privacy, content accuracy, bias, intellectual property, accessibility, and human review.

Tools covered

Generative AI AssistantsLearning Needs AnalysisInstructional Design SupportContent DevelopmentSkills MappingLearning AnalyticsAssessment DesignDocument IntelligenceTraining ReportingWorkflow Automation

Who should attend

  • Learning & Development Managers
  • L&D Specialists
  • Training Managers
  • Learning Designers
  • Instructional Designers
  • Capability Development Professionals
  • Talent Development Professionals
  • Learning Consultants
  • Training Coordinators
  • Learning Experience Professionals
  • HR Business Partners
  • Talent Management Professionals
  • Learning Analytics Professionals
  • Human Resources Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Learning & Development, training, instructional design, capability building, or talent development
  • Familiarity with learning-needs analysis, training programmes, assessments, or learning evaluation is helpful
  • Basic document, presentation, and spreadsheet skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in modern L&D
  • Identifying AI applications across learning analysis, design, delivery, assessment, and evaluation
  • Understanding AI assistance versus L&D professional judgement and subject-matter expertise
  • Recognising risks related to inaccurate content, bias, privacy, intellectual property, and over-reliance
Practical activities
  • Mapping the end-to-end L&D lifecycle to AI-assisted opportunities
  • Identifying repetitive L&D tasks suitable for AI support
  • Comparing traditional and AI-assisted learning workflows

Scenarios

Capability Gap to Role-Based Learning Programme

Business Need → AI-Assisted Training Needs Analysis → Skill Gaps → Learning Objectives → Curriculum Design → Content & Assessments → Delivery Plan → Evaluation

Participants analyse a simulated capability requirement, identify learning needs, design a role-based development programme, and create a structured curriculum with assessments and evaluation measures.

Learning Data to Programme Improvement Plan

Participation Data + Assessment Results + Learner Feedback + Completion Data + Skill Gaps → AI Analysis → Learning Trends → Effectiveness Gaps → Priority Improvements → Management Report

Participants consolidate L&D data, identify programme strengths and improvement areas, and prepare a management-ready learning improvement plan with actions, owners, and priorities.

Related programmes

Continue with programmes from the same capability area.

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Instructor-ledVirtualHybrid

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