AI for Learning & Development: Advanced

An advanced course for L&D leaders who already use AI in daily work. It moves beyond the essentials into curriculum systems, personalization at scale, simulation design, and learning measurement, with an emphasis on quality control, automation, and judgment at scale.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Architecting AI-Driven Curriculum Systems — Establish the structural framework for AI-generated curricula, ensuring alignment with organizational goals, skill taxonomies, and content hierarchies.
Hands-On: AI-Enabled Curriculum Mapping — Practice using AI tools directly to ingest legacy content, map it to new competency frameworks, and automatically generate gap analyses.
Quality Control & Guardrails in Curriculum Generation — Navigate scenario-based decisions to establish automated checks, prevent hallucination, and implement human-in-the-loop verification processes.
Mechanics of Personalization at Scale — Explore how recommendation engines, vector databases, and dynamic pathing algorithms adapt learning journeys to individual profiles in real time.
Hands-On: Configuring Personalization Engines — Work directly in the platform to configure user attributes, set metadata rules, and test how the AI dynamically alters learning paths.
Balancing Automation and Learner Agency — Address critical decision points where automated AI pathing conflicts with learner career goals or organizational compliance requirements.
Instructional Design for AI Simulations — Learn the core principles of designing realistic branching simulations, conversational personas, and adaptive feedback loops.
Hands-On: Prompt Engineering for Simulation Agents — Build and calibrate a custom AI simulator within the tool, writing system prompts to program specific behavioral constraints and personas.
Testing and Calibrating AI Role-Plays — Engage directly with your designed AI simulator to test its responsiveness, edge-case handling, and feedback accuracy in real time.
Advanced Learning Measurement & Qualitative Analytics — Leverage AI to analyze unstructured qualitative learner feedback, sentiment, and behavioral patterns to measure true training impact.
Hands-On: Designing Automated Evaluation Rubrics — Configure an LLM-based grading system within the tool to evaluate open-ended scenario responses consistently against standard rubrics.
Scaling Judgment: Governance, Ethics, and Bias — Evaluate and resolve high-stakes scenarios involving data privacy, algorithmic bias, and ethical AI deployment in enterprise L&D.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

L&d leaders. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Learning & Dev track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

AI for Learning & Development: Core — L&D and enablement teams learn to design and produce training content and assessments faster with AI. The course covers curriculum design, content and assessments, personalization, role-play and simulations, and measuring learning. They leave able to build more effective programs in less time.
AI for Learning & Development: Essentials — Learners will be able to use AI to build everyday training material in hours instead of weeks. The course covers turning an expert's notes into a lesson outline, writing quiz questions from a document, and adapting one course for two audiences. They leave with one real lesson drafted and a feedback loop to improve it.
AI for Learning & Development Pathway — Grow from everyday lesson drafting into curriculum systems and personalization.

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-LND-201.