GitHub Copilot: Advanced

An advanced course on GitHub Copilot's agentic capabilities: workspace-level tasks, AI-assisted PR review, and large-scale test generation. Learners also set usage policy that keeps quality and security intact.

What this course covers

The course runs across 12 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.

Introduction to Copilot's Agentic Architecture — Explore the evolution of GitHub Copilot from inline completions to agentic, workspace-aware workflows.
Navigating Copilot Workspace for Multi-File Tasks — Learn to initialize, plan, and execute complex multi-file changes using Copilot Workspace's agentic features.
Hands-On Codebase Refactoring in the Workspace — Perform an end-to-end refactoring task across multiple files with real-time agent collaboration and verification.
AI-Assisted Pull Request Review Workflows — Configure Copilot to automatically review pull requests, generate summaries, and flag potential architectural issues.
Interactive PR Code Review Lab — Practice acting on automated PR comments, refining Copilot's feedback, and committing suggested fixes directly.
Architecting Large-Scale Test Generation — Define patterns and strategies for generating comprehensive test suites across legacy and modern codebases.
Generating Unit and Integration Tests at Scale — Use Copilot to bulk-generate robust unit, integration, and regression tests for complex, multi-layered applications.
Enterprise Policy Configuration & Governance — Configure organizational policies for Copilot usage, including telemetry settings, public code matching, and access controls.
Implementing Security, IP Protection, and Content Exclusions — Navigate real-world compliance scenarios to block specific repositories, manage intellectual property risks, and enforce security guardrails.
Monitoring Quality and Compliance — Establish metrics and dashboards to measure the impact of Copilot on code quality, security vulnerabilities, and team velocity.
Prompt Engineering and Custom Contexts for Teams — Create shared system prompts, custom instructions, and context configurations to align Copilot with team-specific coding standards.
Comprehensive Agentic Capstone Lab — Synthesize workspace execution, automated PR reviews, test generation, and security policy compliance in an end-to-end hands-on challenge.

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 engineers. The material is pitched at advanced level, and takes roughly 150 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, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a tool 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 Microsoft Copilot training courses →
Microsoft Copilot: Advanced — Power Workflows & Automation — This course fills the step between everyday fluency and building on the platform: running Microsoft Copilot at an expert level without writing code. Learners design multi-step workflows, automate recurring work with agents, Copilot notebooks, and cross-app flows, and set personal systems that compound over weeks. They finish as the person on the team others come to for Microsoft Copilot technique.
Microsoft Copilot for Developers: Mastery — Extending Copilot — Extend Copilot with current connectors, declarative agents/API actions and Teams integrations, backed by code-enforced authorization and tenant governance
Microsoft Copilot: Mastery — Leading Work with Copilot — Lead reliable work with Microsoft Copilot through delegation, description, discernment and diligence. Package expertise, verify outputs, supervise available tools and measure impact without a technical background
Microsoft Copilot: Core — Agents & Cross-App Work — Use available Copilot Chat and Microsoft 365 apps for grounded cross-app work, Pages/notebooks and simple no-code agents; approved access and upload paths without developer setup
Microsoft Copilot for Developers: Core — Copilot Studio & Agents — Build and test Copilot Studio agents with scoped knowledge, actions/flows, validation, authentication boundaries and governed release
GitHub Copilot for Developers Pathway — Move from inline completion to Copilot agents, AI-assisted reviews, and team policy.
Microsoft Copilot Mastery: Developer Track — Developer Microsoft Copilot training with verified engineering/API work and guarded integrations

Frequently asked questions

How long does this course take?

It runs roughly 150 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-GHC-201.