Role-Based Programme
RB1451

AI-Powered Learning & Development

Intelligent Skills Analysis, Learning Design & Capability Development

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across learning needs analysis, instructional design, programme development, learning delivery, assessment, and capability building.
  • Use AI to analyse role requirements, competency frameworks, skill data, learner feedback, assessment results, learning records, and business priorities.
  • Build repeatable AI-assisted workflows for training-needs analysis, curriculum design, content development, assessment creation, learner communication, and reporting.
  • Apply AI to identify skill gaps, learning priorities, learner-support needs, content gaps, programme effectiveness trends, and capability-development opportunities.
  • Design responsible AI-enabled Learning & Development workflows with appropriate controls for learner privacy, content accuracy, intellectual property, fairness, accessibility, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AILearning Needs Analysis ToolsSkills Intelligence ToolsContent Development AIAssessment & Quiz Generation ToolsLearning AnalyticsPresentation & Visual AIKnowledge Management AIReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Learning & Development Managers
  • L&D Specialists
  • Training Managers
  • Learning Consultants
  • Instructional Designers
  • Learning Experience Designers
  • Capability Development Managers
  • Talent Development Professionals
  • Training Content Developers
  • Corporate Trainers
  • Learning Operations Professionals
  • Learning Analytics Professionals
  • Talent Management Professionals
  • HR Business Partners
  • Learning & Development Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Learning & Development, training, instructional design, talent development, or capability building
  • Familiarity with training-needs analysis, curricula, learning content, assessments, learner feedback, and training reports
  • Basic proficiency with spreadsheets, documents, presentations, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and learning automation
  • Mapping AI opportunities across the end-to-end L&D lifecycle
  • Understanding AI assistance versus accountable learning and capability decisions
  • Recognising hallucination, copyright, learner privacy, bias, and content-quality risks
Practical activities
  • Mapping an existing L&D workflow and identifying AI opportunities
  • Comparing manual and AI-assisted L&D activities
  • Creating an L&D AI opportunity matrix

Scenarios

Business Capability Gap to Learning Programme

Business Need → Role & Skill Analysis → Training Needs Assessment → Learning Objectives → Curriculum → Content → Practice → Assessment → Delivery Plan → Effectiveness Measurement

Participants use AI-assisted techniques to convert a simulated business capability requirement into a complete, structured learning programme with measurable outcomes, practical activities, and evaluation criteria.

Learning Data to Capability Development Strategy

Learning Records + Assessment Results + Skill Data + Manager Feedback + Learner Feedback → AI Analysis → Capability Gaps → Priority Learning Interventions → Personalised Pathways → Automated Follow-Up → L&D Dashboard → Leadership Review

Participants design an AI-enabled L&D workflow that consolidates learning and capability information, identifies development priorities, supports personalised learning interventions, automates appropriate administrative activities, and strengthens leadership visibility while retaining final people and capability decisions with authorised professionals.

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