GH-300 GitHub Copilot

Price
Net €
VAT €

Price
Price on Request

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Productive software development is increasingly characterized by AI-supported assistance. Modern development environments combine code, context, and intelligent suggestions to create an efficient workflow.

Key topics

AI-powered code completion and suggestions.
Working with comments, context, and repository knowledge.
Support for common programming languages and frameworks.
Quality, security, and responsible use of AI.
Integration into existing development processes.

Prerequisites
Basic programming skills and experience with version control and development environments are expected.

Target audience
Software developers, technical specialists, DevOps-related roles, and IT professionals with a focus on efficient code creation and modern toolchains.

The content combines practical relevance with technical depth and shows how AI-based assistance is changing everyday development work in the long term. The focus is clearly on efficiency, quality, and modern software development.

Course content

Ethics and AI with Copilot

Implementing responsible AI use
Identifying and minimizing AI risks
Observing ethical standards in AI code
Strengthen trust through transparency and responsibility

GitHub Copilot Overview

GitHub Copilot: Code completion
Discover trigger methods
Compare plans (Individual, Business, Enterprise)
Customizing GitHub Copilot
Troubleshooting

Getting started with prompt engineering

Optimizing prompts for better results
Understanding the dynamics of prompts and responses
Understanding Copilot data processing

Advanced features

Slash commands for code
Chat with GitHub Copilot
Use agents for questions

IDE, chat, and command line

Automatic suggestions and coding style adaptation
Context through comments for better suggestions
Interactive communication for code and debugging
Improvement through scope referencing and commands
Use in the CLI for commands and explanations

Efficient management and customization

GitHub Copilot and customizations
Contractual Protection and Code Deactivation
Managing content exclusions
Resolving common Copilot issues

AI usage for developers

Integrate Copilot into workflows
Check impact on development phases
Evaluate AI coding and efficiency

Unit testing with GitHub Copilot

Unit testing with GitHub Copilot and Chat for VS Code
Using Copilot for edge cases and conditions
Visual Studio Code, .NET SDK, C# Dev Kit for testing
Review test creation and execution

GitHub Copilot Business

GitHub Copilot Business vs. Individuals
Use cases and productivity
Activating GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Enterprise Plan
Differences between the plans
Use cases and productivity
Activating GitHub Copilot

GitHub Copilot with JavaScript

Enable GitHub Copilot in VS Code
Create prompts for suggestions
Use Copilot for JavaScript projects

GitHub Copilot with Python

Enable Copilot in VS Code
Create inputs for suggestions
Use Copilot for Python projects

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is GitHub Copilot and how does it work?

GitHub Copilot is an AI-powered tool that makes code suggestions while you're programming. It analyzes your input in real time and suggests appropriate lines of code or entire functions based on billions of lines of code from public repositories.

Who is the GH-300 GitHub Copilot training suitable for?

The training is aimed at software developers, DevOps specialists, and IT professionals who want to use GitHub Copilot efficiently in their everyday work. Prior knowledge of common programming languages is recommended.

What content does the GH-300 GitHub Copilot training cover?

Topics covered include fundamentals, best practices, integration into IDEs such as Visual Studio Code, security aspects, Copilot Labs, and practical applications in everyday coding.

What are the advantages of using GitHub Copilot?

Copilot saves time, increases productivity, helps with debugging, and supports compliance with coding standards. It acts like a digital pair programmer with AI.

What prerequisites should you have for the GH-300 course?

Basic knowledge of at least one programming language and experience with GitHub and an IDE such as Visual Studio Code are helpful but not required.

In which areas can GitHub Copilot be used?

Copilot is used in web development, data analysis, machine learning, app development, DevOps, and automation—in other words, wherever code is created.

Is there certification after GH-300 training?

After completing the training, a certificate of participation or a digital certificate is usually issued—ideal for your resume and professional profile.

Do you have any further questions? Please contact us.

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