Course Objective & Scope
One-size-fits-all training programmes struggle to match the varied pace, prior knowledge and immediate workflow needs of different employees. This programme shows L&D teams and managers how to use generative AI and enterprise LLMs for personalised learning and performance support: Socratic AI tutor prompts, rubric-based AI role-play simulators, learning assistants grounded in internal documentation (RAG/Copilot) and skill-gap diagnostics.
Selecting a real onboarding or capability programme from their organisation, participants design a personalised AI learning workflow and build a working assistant template with human-in-the-loop pedagogical and privacy guardrails.
Who Should Attend?
- Corporate academy, learning and development (L&D) and instructional design teams
- Department managers wanting to accelerate onboarding and skill mastery in their teams
- Talent management and employee experience (EX) specialists
- Subject-matter experts (SMEs) creating internal learning assets and job aids
Key Takeaways
- Design adaptive learning pathways tailored to an employee's role, seniority and baseline skill
- Write system prompts for Socratic AI tutors that guide thinking instead of handing out answers
- Build AI role-play scenarios with evaluation rubrics for sales, feedback or customer conversations
- Turn internal playbooks and SOPs into in-the-flow-of-work performance support
- Apply a verification checklist covering hallucinations, data privacy and pedagogical soundness
Curriculum
From One-Size-Fits-All Training to AI-Personalised Learning
- Reducing cognitive load, just-in-time workflow support and the 1:1 tutoring effect
- Moving beyond faster content generation to active recall and pedagogical depth
Skill-Gap Diagnostics and Adaptive Pathway Design
- Diagnostic prompts mapped to role competency matrices to build tailored study plans
- Adapting examples, cases and practice difficulty to the learner's role and baseline
Building Socratic AI Tutors and Role-Play Simulators
- Prompt architecture for Socratic tutors that scaffold thinking rather than giving away answers
- Designing persona + scenario + rubric prompts for customer, sales or leadership role-plays
- Grounding onboarding assistants in verified internal documents (RAG / custom assistants)
Quality, Privacy and Human-in-the-Loop Governance
- SME review workflows to prevent hallucinated policies or flawed advice
- Data privacy, IP protection and ethical boundaries in learner interaction logs
Enterprise AI Learning Companion Design Lab
- Prototyping an AI learning assistant or simulation for a real corporate programme
- Red-teaming the assistant with edge-case learner prompts and rollout planning
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