ChatGPT training for employees, ready to assign today
Vero AI Catalog › ChatGPT training
Most companies have hundreds of people using ChatGPT and no shared standard for how well. Some write precise prompts, check what comes back and know when to stop; most paste a question in and take the first answer. The gap shows up in the quality of the work, in the time people spend fixing AI drafts, and in the risk of pasting the wrong document into a public tool. The Vero AI Catalog's ChatGPT track closes that gap with 19 courses that start with the basics and build to Custom GPTs, data analysis and reasoning models.
Every course is delivered by OneRange Vero as an interactive session rather than a recorded video. The tutor explains, works an example with the person's own kind of task, checks understanding and adjusts the next step to the answer given. Someone who already knows a topic moves through it in minutes. Results are measured against named skills in the OneRange taxonomy, so a manager sees who can do what, not who clicked finish. Assign one course to one person, a playbook to a team, or the whole track to the company.
Courses in this track
Start here
- ChatGPT: Intro — An absolute-baseline introduction to ChatGPT for first-time users. Learners see what ChatGPT is, how to access it, and how to send a first message and continue the conversation. It gives complete beginners a confident first touch. About 30 minutes including the final. (Level: beginner · 30 minutes · TUL-GPT-001)
- ChatGPT: Essentials — A hands-on introduction to working productively with ChatGPT. Learners find their way around Chat and Work, select the right model, prompt effectively, set custom instructions and memory, hand ChatGPT a simple Work task, and work with images and voice. They leave ready to use ChatGPT for writing, brainstorming, quick analysis and small multi-step tasks. (Level: beginner · 120 minutes · TUL-GPT-101)
- ChatGPT: Essentials — Everyday Productivity — This course shows how to apply ChatGPT to everyday knowledge work like email, planning, and research. Learners practice drafting documents, prepping meetings, summarizing, and brainstorming. The result is a noticeable lift in daily productivity. (Level: beginner · 90 minutes · TUL-GPT-110)
Playbooks for specific work
- ChatGPT: Essentials — Research Playbook — A focused playbook for doing research and synthesis work in ChatGPT. Learners run real tasks end to end - sources, citations, deep dives, and verification - and leave with repeatable workflows they can use the same day. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-121)
- ChatGPT: Essentials — Data & Analysis Playbook — A focused playbook for doing data and analysis work in ChatGPT. Learners run real tasks end to end - data cleanup, analysis, charts, and interpretation - and leave with repeatable workflows they can use the same day. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-122)
- ChatGPT: Essentials — Coding Playbook — A focused playbook for doing coding work in ChatGPT. Learners run real tasks end to end - code generation, explanation, debugging, and review - and leave with repeatable workflows they can use the same day. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-123)
Go further
- ChatGPT: Advanced — Power Workflows & Automation — The step between everyday fluency and leading work with ChatGPT, without writing code. Learners design multi-step workflows, automate recurring work with Work, plugins, Scheduled tasks, Custom GPTs and Sites, keep long-running tasks on track, and set personal systems that compound over weeks. They finish as the person on the team others come to for ChatGPT technique. (Level: advanced · 150 minutes · TUL-GPT-251)
More in this track
- ChatGPT for Developers: Essentials — Testing Playbook — A focused playbook for testing with ChatGPT. Learners give ChatGPT a small untested Python module, have it draft unit and edge-case tests from a written policy, diagnose a failing test and a flaky one, and prove that a passing test does not actually guard the behaviour. They leave with a prompt pattern for tests whose expected values come from the requirements, not from whatever the code happens to return. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-DEV-121)
- ChatGPT for Developers: Essentials — Refactoring & Migration Playbook — A focused playbook for safe refactoring and API migration with ChatGPT. Learners pin a legacy JavaScript module's current behaviour with tests, refactor it in small behaviour-preserving steps, and migrate it from a deprecated in-house API to its replacement without changing a single output line. They leave with a step-by-step pattern for refactors and upgrades that tests protect. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-DEV-123)
- ChatGPT for Developers: Essentials — Coding with ChatGPT — Use ChatGPT chat, Projects and canvas to write, debug and review code with independent tests. Finish a fix-and-explain lab before progressing to the existing Codex Core and Advanced courses (Level: beginner · 90 minutes · TUL-GPT-DEV-101)
- ChatGPT: Mastery — Leading Work with ChatGPT — Lead reliable work with ChatGPT in any role using the 4Ds: delegation, description, discernment and diligence. Redesign a workflow, package expertise, supervise Work when it acts, run team tasks within your company's governance, and measure impact and spend without a technical background; code and integrations belong in ChatGPT for Developers. (Level: expert · 150 minutes · TUL-GPT-302)
- ChatGPT for Developers: Mastery — Building with the OpenAI API — Build reliable OpenAI API integrations with the Responses API, structured outputs, tool calling and the Agents SDK. Compare hosted File Search with custom RAG and ship a tested agent with code-enforced guardrails, evals, cost and rate-limit controls (Level: expert · 180 minutes · TUL-GPT-DEV-301)
- ChatGPT for Developers: Essentials — Code Review Playbook — A focused playbook for reviewing code with ChatGPT, including pull requests written by an AI coding agent. Learners ask ChatGPT for specific, line-referenced findings on a small JavaScript diff, check a draft AI review comment by comment instead of trusting it, and write the review they would actually post. They leave with a review prompt and a habit of proving each finding with a concrete input. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-DEV-122)
- ChatGPT: Core — Custom GPTs, Data Analysis & Reasoning — A hands-on working level for experienced ChatGPT users in any role. Build Custom GPTs and Projects, analyze uploaded data, compare reasoning approaches, bring your apps into Work through plugins and @mentions, and run Work tasks with a plan and approvals. No technical background needed; for code and integrations take ChatGPT for Developers. (Level: intermediate · 150 minutes · TUL-GPT-202)
- ChatGPT for Developers: Essentials — Docs & Onboarding Playbook — A focused playbook for documentation and onboarding with ChatGPT. Learners use a Project or chat to explain an unfamiliar Python module, catch what an out-of-date README gets wrong, then write a new README, docstrings and a handoff note, checking every claim against the code. They leave with documentation a new teammate can trust and a habit of tying each statement to a line of code. About 45 minutes including the final. (Level: beginner · 45 minutes · TUL-GPT-DEV-124)
- ChatGPT for Developers: Advanced — Agentic Engineering with Codex — Agentic engineering with Codex for experienced developers: plan long tasks, run parallel threads in worktrees and with subagents, back instructions with hooks and guardrails, share skills and plugins across a team, review pull requests with Codex on GitHub, run Codex headless with codex exec and the official GitHub Action, lock down sandbox and admin policy, and control cost and speed by measuring real runs. (Level: advanced · 150 minutes · TUL-GPT-DEV-251)
- What's New in ChatGPT for Developers — A short refresher on the latest ChatGPT, Codex and OpenAI API updates for developers (Level: intermediate · 20 minutes)
- ChatGPT for Developers: Core — Codex in ChatGPT & MCP — Codex for working developers, where it now lives: inside the ChatGPT desktop app as Codex mode, plus the Codex CLI and IDE extension. Learners set up a project, give Codex the right context with AGENTS.md, choose how much it may do without asking, run planned coding tasks on a repository, review diffs and pull requests with discipline, connect tools with MCP, and work in large codebases. Ends with a ticket taken from plan to reviewed change. (Level: intermediate · 180 minutes · TUL-GPT-DEV-201)
- What's New in ChatGPT for Everyone — A short refresher on the latest ChatGPT for Everyone updates (Level: intermediate · 20 minutes)
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?
ChatGPT: Essentials runs about two hours at a typical pace, the playbooks are roughly thirty minutes each, and the Core and Advanced courses run longer. Because every session adapts to the person taking it, someone who already knows a section moves through it in minutes instead of sitting through it.
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 ChatGPT Essentials Proficiency assessment scores open responses against a rubric, and Advanced and Mastery assessments exist for people further along. Every course also ends with its own check, so you get a result per course as well as a standalone proficiency score.