Design Learning That Sticks with AI
L&D managers, instructional and learning experience designers, capability and training managers, and organisational development professionals who design and deliver corporate learning — whether in a large team or as the entire L&D function. It is written for practitioners who already understand how adults learn and want a practical AI method that fits the way L&D actually works — the learning cycle, the stakeholder conversations, the SME wrangling, and the content-quality standards — rather than generic productivity advice.
Apply AI to every phase of the corporate learning cycle — analyse, design, develop, deliver, and evaluate — with measurable gains in quality, speed, and business alignment.
Write structured PRISM prompts for eight core L&D tasks — learning needs summaries, programme outlines, module content, assessment questions, facilitator guides, learner communications, evaluation surveys, and impact reports — that produce genuinely useful output rather than generic text.
Design AI-assisted programmes that connect to business outcomes and stakeholder priorities, so L&D is seen as a strategic capability builder rather than a training-request service.
Build a TRUST-based quality assurance process for AI-generated learning materials that meets professional pedagogical standards before anything reaches a learner.
Use AI to generate evaluation insight that moves L&D beyond happy sheets — measuring behaviour change and business impact, and reporting it in the language business leaders use.
Operate within a safety and governance framework built for corporate learning, applying the Educator AI Safety Protocol to protect learner data, verify content accuracy, and safeguard intellectual property.
Cut content-development time without sacrificing pedagogical rigour, freeing your bandwidth for strategic design, stakeholder engagement, and impact measurement.
Leave with a personalised 30-Day L&D AI Starter Plan — quick wins, milestones, and a month-by-month path tailored to your role and current programme priorities.
Module by module, in the order they are assigned.
AI in corporate learning maps where organisations use AI across analyse, design, develop, deliver, and evaluate, because L&D teams need more than faster content production. By the end, you can place your function, sort tasks by AI fit, and protect the judgement that stays human.
Prompting for L&D turns one-line AI asks into complete briefs that produce usable learning content across the corporate learning cycle. You apply PRISM with L&D-specific additions, refine drafts through iteration, and use TRUST to gate content before it reaches learners.
Needs analysis and programme design become faster when AI processes interviews, surveys, performance data, skills frameworks, and design options. You use the saved time to diagnose the real problem, shape business-aligned architectures, and apply judgement before anything reaches leaders or learners.
The develop phase turns approved designs into e-learning, workshops, job aids, cases, video, and microlearning, so speed matters only when quality survives. You can draft and adapt content with AI, direct expert review, and run every output through TRUST before it reaches learners.
Delivery and evaluation decide whether AI-assisted learning pays off for learners, facilitators, and leaders. You leave able to support live delivery, extend the learner journey, connect learning data to business outcomes, and test every impact claim with TRUST.
AI-assisted L&D becomes safe and defensible when governance protects learner data, content accuracy, ownership, compliance, and trust. You finish with a role-specific 30-day adoption plan built around one real programme, three quick wins, and measurable milestones.
The course closes with a timed final exam with a pass mark and a limited number of attempts. A pass issues a PDF certificate with its own serial, in the name of the Straits Institute for Applied AI. Cohort progress, at-risk learners and a CSV export are in the admin console throughout.
No. There are no AI prerequisites — the course starts from first principles and builds up. What you bring is your L&D expertise: you already understand how adults learn and the difference between activity and real learning. The approach throughout is to start simple and not be afraid to experiment.
No. AI is a tool to help you, not replace you. It handles the production — drafting content, summarising data, generating first versions — while you do the work machines cannot: understanding the business, reading the audience, and designing for behaviour change. The course is built around keeping you as the designer who directs every draft.
It can be, with the right discipline. The Educator AI Safety Protocol's first check is Learner Data: LMS records, assessment scores, and completion data are employee data, so use only enterprise-grade AI tools with a confirmed data processing agreement for anything involving individual learners. Before sharing any learner data, ask four questions — is this an enterprise tool with a DPA, can individuals be identified, is the data used for its original purpose, and do learners know it is processed this way?
The course is six modules of about an hour each, following the corporate learning cycle from needs analysis through impact measurement. Allowing for the hands-on practice built into each module, expect roughly 10 to 14 hours in total to work through it properly.
You can work through most of the course with a common general-purpose AI assistant — the prompting skills transfer across tools. The course also maps the wider L&D technology landscape and its traps so you can choose well. The one firm rule is for individual learner data: use only enterprise tools with a data processing agreement, never a consumer tool.
Only if you run it through a standard, which is exactly what the course teaches. AI drafts; a qualified human directs and verifies. You evaluate every output against the TRUST framework and the L&D AI Quality Assurance Checklist — outcome alignment, factual accuracy, pedagogical quality, brand and voice, accessibility and inclusivity, and currency — so speed never costs you rigour.
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Course libraries are assigned per user, team or department, and the reporting comes back to whoever has to answer for the programme. Tell us who needs it and we will show you the console.
