OneRange

Prompt engineering training that sticks, for whole teams

Vero AI Catalog › Prompt engineering training

Most people plateau at prompting within a week: they find three phrasings that work and never learn why. The gap between that and someone who can get a reliable, formatted, reasoned answer from any model is the biggest single skills gap in a company's AI use, and it is entirely teachable. The Vero AI Catalog's prompting track covers fifteen courses, from a thirty-minute essentials version of each technique to advanced context engineering and building a prompt library the whole team can govern.

OneRange Vero runs each course as an interactive session where the person writes real prompts for their own work and gets them critiqued and improved on the spot, which is the only way prompting actually improves. The tutor explains the technique, works an example, checks understanding and adapts. Results are recorded against named prompting skills in the OneRange taxonomy, so a manager can see who writes prompts that work and who is still guessing. Assign the essentials to everyone and the advanced recipes to the power users.

Courses in this track

Essentials (30 minutes each)

  • Context Engineering: Essentials — Giving the AI the Right Background — Learners will be able to give the AI the background it needs to answer well: who they are, what the task is for, and what good looks like. The course covers pasting the right context - the email thread, the document, the example - and leaving out what does not help. They leave with a background checklist that makes every answer more useful. (Level: Beginner · 30 minutes · CAT-CTX-ESS)
  • Step-by-Step Reasoning: Essentials — Learners will be able to get careful, step-by-step answers from AI instead of quick guesses. The course covers asking the AI to show its work, breaking a big question into smaller ones, and checking each step before trusting the result. They leave with two ready-to-use phrasings that make any AI answer easier to follow and check. (Level: Beginner · 30 minutes · PRC-COT-ESS)
  • Prompt Debugging: Essentials — Fixing a Bad AI Answer — Learners will be able to turn a bad AI answer into a good one instead of giving up or starting over. The course covers reading the answer to spot what went wrong, changing one thing at a time, and asking the AI to fix its own mistake. They leave with a simple three-step routine they can use every time an answer misses. (Level: Beginner · 30 minutes · PRC-DBG-ESS)
  • Prompt Libraries for Teams: Essentials — Learners will be able to save a good prompt, share it with their team, and find a teammate's prompt when they need it. The course covers where to keep prompts, how to name them so people can find them, and how to mark which ones work best. They leave with a small shared folder of five prompts their team can start using right away. (Level: Beginner · 30 minutes · PRC-LIB-ESS)
  • Getting Answers in a Fixed Format: Essentials — Learners will be able to get AI answers in the exact shape they need - a table, a list, or a set of labeled fields. The course covers describing the format before asking the question, showing a small example of the layout, and asking again when the shape comes back wrong. They leave with fill-in templates for the three formats they use most at work. (Level: Beginner · 30 minutes · PRC-STR-ESS)

Core techniques

  • 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. (Level: intermediate · 150 minutes · CAT-PRM)
  • 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. (Level: intermediate · 90 minutes · PRC-PAT)
  • 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. (Level: intermediate · 60 minutes · PRC-FEW)
  • 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. (Level: intermediate · 60 minutes · PRC-PER)
  • 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. (Level: intermediate · 90 minutes · PRC-TPL)

Advanced recipes

  • 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. (Level: advanced · 120 minutes · CAT-CTX)
  • Step-by-Step Reasoning: Advanced — Chain-of-Thought Recipes — An advanced recipe set for eliciting reliable reasoning: decomposition, explicit steps, and built-in verification. Learners apply the recipes to problems where a single-shot answer fails. (Level: advanced · 90 minutes · PRC-COT)
  • Prompt Debugging: Advanced — Iteration & Versioning — When a prompt fails, most people guess; this course teaches diagnosis. Learners isolate failure causes, iterate systematically, and version what works. (Level: advanced · 90 minutes · PRC-DBG)
  • Getting Answers in a Fixed Format: Advanced — Structured-Output Recipes — Recipes for output that machines can consume: format contracts, schema-shaped prompts, and robustness tricks that survive model updates. Learners harden a prompt until its output parses every time. (Level: advanced · 60 minutes · PRC-STR)
  • Prompt Libraries for Teams: Advanced — Building & Governing — The organizational layer of prompting: curating, storing, and governing a shared prompt library. Learners stand up a real library structure with contribution standards and an upkeep loop. (Level: advanced · 120 minutes · PRC-LIB)

Prove the skill

Pathways that include these courses

How the training works

Every course here is delivered by OneRange Vero as an interactive session. There is no video to sit through and no slide deck to click past: the tutor explains an idea, works an example, asks the person to try it, and adjusts what comes next to the answer it gets back. Practice, scenarios, labs and role-plays are part of the session rather than an add-on.

Courses can be grounded in your own material, so examples, terminology and policies match how your company actually works. Results map to named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill instead of a completion tick. Assign to one person, a team or the whole company, and track progress from the Vero dashboard.

Frequently asked questions

How long does the training take?

The essentials courses are about 30 minutes each, the core techniques 60 to 150 minutes, and the advanced recipes 60 to 120 minutes at a typical pace. Because sessions adapt, someone who already prompts well is through the essentials in minutes.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or everyone at once. Progress and results appear per person and per skill, so a manager can see who has finished, who is mid-course, and where the remaining gaps are.

Can we customise it with our own documents and terminology?

Yes. An administrator can add your company's own standing instructions, examples and documents so the course teaches the tool in the context of your systems, terminology and policies, without changing the underlying catalog course. See how the customization layer works on the Vero page.

Is there an assessment?

Yes. The Prompting Proficiency assessment covers the essentials and the Advanced Prompt Engineering assessment covers the rest, with focused checks for structured output and prompt debugging. Every course also ends with its own check.

See how the customization layer works.

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