OneRange

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 Learners use a Project or chat to explain an unfamiliar Python module, catch what an out-of-date README gets wrong, then write a new README, docstrings and a handoff note, checking every claim against the code.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.

What this course covers

The course runs across 3 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.

  • Explaining unfamiliar code from the source, not from old docs — Learners attach the code and tell ChatGPT to answer only from it, quoting the line it relies on. They compare an out-of-date README with the code claim by claim.
  • READMEs and docstrings that match the code — Learners have ChatGPT draft a README and docstrings covering how to run, inputs, configuration, rules, example output and limitations, then verify every fact and the example output against the code.
  • Handoff and onboarding notes a newcomer can act on — A good handoff note says where to start, what will surprise you and what is still undecided. Learners cut any claim they cannot tie to the code and turn odd behaviour into clear questions for the owner.

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

Software developers. The material is pitched at beginner level, and takes roughly 45 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 Tool: ChatGPT 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 code lab, guided lab 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 ChatGPT training courses →
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • ChatGPT for Developers Pathway — ChatGPT for developers, from coding in chat (Essentials), through Codex in the ChatGPT app and MCP (Core) and agentic engineering with Codex (Advanced), to production-minded OpenAI Responses API agents (Mastery). Also includes 4 optional playbooks (Testing, Code Review, Refactoring & Migration, Docs & Onboarding) to take any time after Essentials; they don't count toward the certificate.

Related

Frequently asked questions

How long does this course take?

It runs roughly 45 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 TUL-GPT-DEV-124.