Prompt Patterns Library

A tour of the prompt patterns that consistently work, organized as a usable library. Learners match patterns to task types and combine them deliberately instead of improvising.

What this course covers

The course runs across 7 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.

Foundations of Prompt Patterns — Introduction to the prompt pattern library concept. Learn how using structured, repeatable templates replaces unpredictable improvisation with reliable, deterministic AI behavior.
Persona and Audience Patterns — Master the Persona and Audience patterns to force the model to adopt specific professional roles and tailor outputs to distinct user demographics.
Structure and Output Formatting Patterns — Explore the Template, Recipe, and Output Customizer patterns to constrain LLM responses into highly structured formats like JSON, tables, or markdown.
Reasoning and Verification Patterns — Apply Chain-of-Thought and Cognitive Verifier patterns to guide the model through logical steps, reducing hallucinations and improving problem-solving accuracy.
Interaction and Input Control Patterns — Deploy Flipped Interaction and Ask-for-Clarification patterns to make the LLM lead the interview process and gather necessary context before generating answers.
Pattern Selection: Matching Patterns to Tasks — Analyze various real-world business tasks and practice determining which individual prompt pattern is best suited for each objective.
Pattern Composition: Stacking and Chaining — Learn to deliberately combine and stack multiple patterns within a single prompt session to execute complex, multi-stage workflows.

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

Power users, all functions. The material is pitched at intermediate level, and takes roughly 90 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 Prompt Recipes & Playbooks 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 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

All Prompting training courses →
Advanced Prompt Engineering — Learners master advanced prompting techniques for reliable, structured results. The course covers few-shot and chain-of-thought, structured output, system prompts and roles, and prompt chaining and templates. They finish able to engineer prompts that perform consistently at scale.
Function-Specific Prompt Template Packs — A working tour of prompt template packs for sales, marketing, support, HR, finance, and ops. Learners customize their function's pack and make it their daily toolkit.
Role & Persona Prompting Recipes — This course covers persona prompting done well: constructing roles that genuinely change output quality and knowing the technique's limits. Learners build a persona set for their own work.
Few-Shot & Example-Driven Recipes — Learners master teaching by example: selecting examples that carry the signal, covering edge cases, and using format demonstrations. Small example changes, large quality gains.
Context Engineering: Advanced — Memory & Token Budgeting — This course teaches builders to design what goes into the context window to maximize reliability and relevance. It covers context windows, retrieval versus stuffing, memory patterns, summarization, and token budgeting. Learners finish able to get more accurate output by controlling context deliberately.
Prompting Proficiency Assessment — Prompting Proficiency: can the person get a usable, correctly formatted answer on the first or second try?
Prompt Engineer Pro — Complete command of prompt technique and team practice

Frequently asked questions

How long does this course take?

It runs roughly 90 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 PRC-PAT.