GitHub Copilot for Developers
This course teaches developers to use GitHub Copilot effectively in their editor. Learners apply inline completion and Copilot Chat, generate tests and docs, refactor code, and follow secure-use and review practices. They finish coding faster without sacrificing quality.
What this course covers
This course teaches developers to use GitHub Copilot effectively in their editor. Learners apply inline completion and Copilot Chat, generate tests and docs, refactor code, and follow secure-use and review practices. They finish coding faster without sacrificing quality.
The course runs across 5 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.
- Getting Started with Inline Completion — Learn how to trigger, accept, and cycle through Copilot's inline code suggestions directly in your editor.
- Interactive Coding with Copilot Chat — Master natural language prompting in the Chat sidebar to explain, modify, and generate code snippets from scratch.
- Generating Unit Tests and Documentation — Use Copilot to quickly draft comprehensive unit tests for existing functions and generate clear code documentation.
- Refactoring and Optimizing Code — Leverage Copilot to identify code smells, improve readability, and refactor legacy code structures safely.
- Secure Use, Code Review, and Verification — Understand how to critically review Copilot's output for security vulnerabilities, license compliance, and logical correctness.
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. This course maps to Code Generation, Secure Coding Practices, Test Driven Development (tdd), Git & Version Control, Prompt Engineering.
- Code Generation
- Secure Coding Practices
- Test Driven Development (tdd)
- Git & Version Control
- Prompt Engineering
Who it is for
Software engineers. The material is pitched at intermediate level, and takes roughly 120 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: Microsoft Copilot 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, code lab exercises. There is no video to sit through and no slide deck to click past.
Understanding is checked with a code 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.
Related
- Browse the full Vero AI Catalog
- How the OneRange platform assesses and measures skill
- What OneRange Vero is
Course code TUL-COP-110.