tecnovy AI Suite

GitHub Copilot Advanced Training

Between one developer accepting Copilot suggestions with Tab and a team whose repository, pull requests and reviews run with Copilot lies a whole workflow. This training builds that workflow: instruction files give Copilot your repository's rules, you hand issues to Copilot on GitHub and get a pull request back, and Copilot code review checks every pull request before a person does. Approval stays with your team.

Attendance certificate4.8/5 on ProvenExpert

What this module delivers.

Tech leads, maintainers and Copilot admins use tecnovy's GitHub Copilot Advanced to set up how Copilot works in a team: instruction files, tasks returned as pull requests, Copilot code review in branch rules, and organization policies.

How the training runs

Method: Hands-on in a sample GitHub repository with issues, pull requests and pipelines
Basis: tecnovy's own curriculum, verified against GitHub's Copilot docs (November 2026)
Outcome: tecnovy certificate of participation, no examination

Dates & booking

Choose a date that fits

No public dates are scheduled yet.

New dates are published regularly. Join the waitlist or plan an in-house course for your team.

Request in-house training

Fit

Who this module is designed for

Typical roles

You use Copilot Chat and agent mode every day and want Copilot working on issues and pull requests on GitHub too.
You are a tech lead or maintainer and want to take load off reviews and routine work in the repository.
You manage Copilot in your organization and decide which features and rules apply to the team.

Prerequisites

No prerequisites

You can start right away. What you need: hands-on experience with Copilot Chat and agent mode, confident use of pull requests and branches on GitHub.

Consider instead GitHub Copilot Starter · GitHub Copilot Training for Beginners One day in VS Code for developers who mostly accept Copilot suggestions with Tab: use suggestions, chat and agent mode on purpose and review every change.

Curriculum

GitHub Copilot Advanced Training in Detail

The six parts follow a change through your process: from the instructions Copilot works by, through issue and pull request, to review and the rules for the whole team. All exercises run in a sample repository on GitHub with issues, pull requests and pipelines.

01Fitting Copilot to your project

You give Copilot the rules that otherwise live in heads and wikis.

Instructions for repository, organization and individuals
Prompt files as slash commands for team routines in VS Code
The right model for task, quality and AI credit consumption

02Agent mode day to day

You carry out larger changes in the editor under control.

Plan in plan mode first, then implement in agent mode
Tests and build as the success criterion
Limits and control: when you take over

03Handing tasks to Copilot on GitHub

Copilot works on an issue in the background and returns it as a pull request.

Writing issues that Copilot can solve
Reviewing the pull request and steering it with @copilot
Which tasks suit it: one branch and one pull request per task

04Copilot code review

Copilot reviews pull requests first, and approval stays with the team.

Automatic reviews through a ruleset, on every push and for drafts if you want
How it works alongside human review and branch rules
Pull request summaries for faster reviews

05Extending with MCP and the command line

You give Copilot access to tools beyond the code.

Connecting external tools through MCP servers
Copilot CLI for tasks in the terminal
Security questions around extensions

06Rolling Copilot out to the team

You decide what applies in the team and make the effect visible.

Policies and settings at organization level
Measuring use and effect with the Copilot usage metrics
Setting team standards for AI-assisted development

Outcome

What you will be able to do afterwards

01
You write repository instruction files and prompt files for recurring team tasks.
02
You choose the model for each task by quality and AI credit consumption.
03
You have larger changes planned in plan mode and carry them out in agent mode in checkable steps, with tests as the success criterion.
04
You write issues that Copilot can work on GitHub, and steer the resulting pull request with comments.
05
You set up Copilot code review through a ruleset and decide how it works alongside human review and branch rules.
06
You connect MCP servers to Copilot and assess their permissions and risks.
07
You set team standards for using Copilot and choose suitable policies and usage metrics for the organization.

tecnovy Teilnahmezertifikat

Confirms your attendance and the curriculum covered in the training. Issued by tecnovy, shareable on LinkedIn.

Open the Certificate Showroom tecnovy →

Offer scope

What is included

Included

Sample repository with instruction and prompt filesYou take the files from the exercises with you as templates for your own repositories.
Checklist for rolling Copilot out to a teamIt sums up the policies, settings and team standards from the final part of the course.

Why tecnovy

What you get on top with us

No Slideshow, Hands-On!

Promised: no PowerPoint marathon. We work in groups, tie theory to practice, and you get real project examples from our experienced trainers plus the exchange with like-minded people.

Certificate Showroom

Get your certificate of participation and, if you have one, add your exam certificate from E-Learning. Fully automated, beautifully designed. Just for you, only at tecnovy.

Flexible Date Change

If you are not able to attend the course, you can rebook your training free of charge up to one week before the start of the training.

Attend Twice, Pay Once

You are welcome to attend the training online again within a year as a refresher.

Learn from Experts

We always guarantee you the use of didactically and methodically first-class qualified trainers who draw their knowledge from training experience as well as professional practical and project experience.

FAQs

Frequently asked questions

01Do I need to have taken the beginners course first?

No: if you use Copilot Chat and agent mode regularly and are confident with pull requests and branches, you can start straight in the tecnovy GitHub Copilot Advanced training. If you mostly accept Copilot suggestions with Tab so far, GitHub Copilot for Beginners is the better start.

02Which Copilot plan do the exercises need?

Copilot Free is not enough for the tecnovy GitHub Copilot Advanced training, because it includes neither Copilot working on issues on GitHub nor Copilot code review; both come with plans such as Pro, Pro+, Max, Business and Enterprise. Organization-level instructions and the MCP servers policy exist only with Copilot Business or Enterprise, and rulesets need access to the repository settings (as of November 2026).

03How does Copilot work on an issue on GitHub?

You assign the issue to Copilot, which works in the background, opens a pull request and requests your review; you ask for changes in a comment mentioning @copilot. GitHub launched the feature as Copilot coding agent, now calls it Copilot cloud agent, and since 28 October 2026 has bundled it into Copilot in the cloud for paid plans. In the tecnovy GitHub Copilot Advanced training you practise this on the sample repository.

04Does Copilot code review replace human reviews?

No: GitHub states that Copilot's reviews do not count toward a pull request's required approvals by default, and that Copilot is not guaranteed to spot every problem (as of November 2026). In the tecnovy training you decide what Copilot checks first and where your team makes the call.

05Does this work with Copilot Business or Enterprise?

Yes, Copilot Business and Enterprise include work on GitHub, Copilot code review and MCP, but enterprise and organization owners decide through policies which features your members may use. The MCP servers policy is disabled there by default, and cloud work requires repositories hosted on GitHub (as of November 2026); the tecnovy training covers these policies in the part on team rollout.

06What is MCP, and where does Copilot use it?

The Model Context Protocol (MCP) is an open standard through which AI applications reach external tools and data. According to GitHub, Copilot supports MCP servers in VS Code and other IDEs, in Copilot CLI, and at repository level for work on GitHub (as of November 2026); in the tecnovy training you connect a server and assess its permissions.

07Is there an examination or a certification?

No. The tecnovy GitHub Copilot Advanced training has no examination, and GitHub awards no certification for it. If you attend at least 80% of the time, you receive the tecnovy certificate of participation.

08Which tecnovy courses go deeper on single topics?

Two tecnovy workshops go further: Code Review with AI builds a review workflow from several specialised AI agents that check pull requests for security, tests and architecture. MCP Servers in the Coding Environment connects ticket systems, documentation and databases to Claude Code and GitHub Copilot through MCP.

What does your training at tecnovy look like?

GitHub Copilot AdvancedAdvanced Training

No dates yet

We will let you know as soon as the next date is scheduled.