tecnovy AI Suite

GitHub Copilot Training for Beginners

GitHub Copilot already sits in your workflow: as grey text in the editor, as a chat beside the code, as a suggested commit message and on GitHub in the pull request. This training stays in the editor, where you write the code. In VS Code you practise when a suggestion while typing is enough, when the chat should explain, and when agent mode takes on a task with several steps. You review every change before it reaches your code.

Attendance certificate4.8/5 on ProvenExpert

What this module delivers.

For developers who mostly accept Copilot suggestions with Tab: in tecnovy's GitHub Copilot for Beginners you choose between suggestion, chat and agent mode for each task, and review every change before it lands in the shared repository.

How the training runs

Method: Live demos, then exercises on a practice project in VS Code
Basis: tecnovy curriculum, checked against the GitHub Copilot documentation, 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

Your company has rolled out Copilot and so far you mostly use the suggestions while typing.
You want to hand tests, documentation and getting into unfamiliar code to Copilot without losing control.
You are a tech lead and want to assess what Copilot can contribute to the team.

Prerequisites

No prerequisites

You can start right away. What you need: basic knowledge of one programming language and of Git.

Consider instead GitHub Copilot Advanced For daily Copilot users: hand tasks to Copilot on GitHub, check pull requests with Copilot code review and fit Copilot to your team with custom instructions and MCP.

Curriculum

GitHub Copilot Training for Beginners in Detail

The whole day happens in VS Code: each part gives Copilot a little more independence, from grey suggestion text to an agent that proposes commands. Every part has an exercise on the practice project. Tasks that Copilot works on GitHub are only placed in context here.

01Copilot at a glance

This part places Copilot in the work you already do.

The ways of working: suggestions, chat, agent mode, tasks and reviews on GitHub
Where Copilot runs: IDE, GitHub.com, Copilot CLI and the Copilot app
Which data Copilot uses and how you steer the context

02Suggestions while you type

You use suggestions on purpose rather than by chance.

Accepting, rejecting and showing alternative suggestions
Triggering better suggestions with comments and function names
Next edit suggestions for related changes

03Copilot Chat

In the chat you have explained and generated what you would otherwise look up or type.

Explaining code, analysing errors, generating tests and documentation
Giving context on purpose: files, selection, workspace
Choosing the right model, automatic only in Copilot Free

04Ask, plan and agent mode

You decide how much Copilot should do on its own.

Ask mode for answers without changing the code
Plan mode for an implementation plan you review before the first change
Agent mode: Copilot picks files, edits them and proposes commands you confirm
Which mode fits which task

05Reviewing results and working safely

Whatever Copilot writes stays a proposal until you have checked it.

Reviewing changes and undoing what you do not want
Typical faults in AI-generated code
Privacy settings and company policies

Outcome

What you will be able to do afterwards

01
You place suggestions, chat, agent mode and tasks on GitHub, and pick the way of working that fits your task.
02
You steer suggestions with comments and function names, show alternatives and use next edit suggestions.
03
You give Copilot Chat files, a selection or the workspace as context on purpose and have code and errors explained.
04
You generate tests and documentation for existing code with Copilot.
05
You complete a multi-step task in agent mode and confirm or reject every terminal command it proposes.
06
You check AI suggestions for typical faults and security problems before you accept them.
07
You check the privacy settings of your Copilot plan and compare them with your company's policies.

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

Practice project with tasks for suggestions, chat and agent modeThis prepared project gives you a fitting task for each way of working with Copilot.
Cheat sheet with shortcuts and prompt examplesIt collects the shortcuts and phrasings from the exercises for your daily work.

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

01What Copilot access does the training need?

The exercises in the tecnovy GitHub Copilot for Beginners training need a GitHub account with an active Copilot plan; suggestions, chat and agent mode come with every plan. Copilot Free limits them, though: 2,000 completions a month, an allowance of AI credits and automatic model selection only, so choosing a model takes a paid plan such as Pro, Business or Enterprise. If you get Copilot through an organization, its policies decide which features are enabled (as of November 2026).

02Which IDE does the training use?

The tecnovy training demonstrates and practises everything in VS Code. According to GitHub, Copilot is also available for Visual Studio, JetBrains IDEs, Eclipse and Xcode, with suggestions, chat and agent mode; next edit suggestions are still in preview in JetBrains, Eclipse and Xcode (as of November 2026).

03How does agent mode differ from Copilot on GitHub?

Agent mode works in your editor and you follow every step. On GitHub, by contrast, you can hand Copilot a task, such as an issue, which it works on in a cloud environment and returns as a pull request for review; Copilot Free does not include this. The tecnovy beginners training only places this in context, and the advanced course is where you practise it.

04Which AI model does Copilot use?

On Copilot Free and Copilot Student, Copilot picks the model automatically; on paid plans you choose between models from several providers in the chat. The tecnovy training shows which model suits which task, and that changing the chat model does not change the suggestions while you type.

05Is Copilot compatible with our data protection rules?

That depends on plan and configuration, and your company makes the call; the tecnovy training shows the settings that matter. GitHub states that since 24 April 2026 interaction data from Copilot Free, Pro and Pro+ is used to train its models unless the user opts out in the Privacy settings; Copilot Business and Enterprise are not affected (as of November 2026).

06Does the training end with an examination?

No, GitHub sets no examination here and awards no certification for the tecnovy GitHub Copilot for Beginners training. With at least 80% attendance you receive the tecnovy certificate of participation.

07I already use chat and agent mode every day. What fits then?

If you already use chat and agent mode daily, the tecnovy course GitHub Copilot Advanced is the better fit. It covers tasks that Copilot works on GitHub and returns as a pull request, Copilot code review, custom instructions and prompt files, MCP, and rolling Copilot out to a team.

What does your training at tecnovy look like?

GitHub Copilot StarterTraining for Beginners

No dates yet

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