Your developers spend considerable time on repetitive coding, documentation, and unit testing tasks that could be automated? Generative AI applied to software development transforms team productivity, but without structured training, developers only exploit a fraction of GitHub Copilot’s capabilities. Approximate prompts generate unsuitable code and blind trust in suggestions creates quality issues.
This official Microsoft AZ-2007 training teaches you in 1 day how to fully leverage GitHub Copilot to accelerate application development. You master prompt engineering techniques adapted to code, use Copilot Chat for refactoring and debugging, generate unit tests, and automate documentation. MCT-certified trainers guide you through practical exercises where you concretely measure productivity gains. This training validates the corresponding Applied Skill. Sessions are available in person in Geneva and Lausanne or as virtual classroom.
Module 1 : Get started with GitHub Copilot
Module 2 : Generate documentation using GitHub Copilot tools
Module 3 : Develop code features using GitHub Copilot tools
Module 4 : Develop unit tests using GitHub Copilot tools
Module 5 : Implement code improvements using GitHub Copilot tools
Module 6 : Introduction to vibe coding
GitHub Copilot represents the most significant advancement in developer productivity tools in recent years. Powered by OpenAI models, this AI assistant integrates directly into the IDE to suggest code, complete functions, generate tests, and explain complex code. Swiss companies adopting GitHub Copilot report significant productivity gains, but these gains depend directly on the ability of developers to interact effectively with the tool. Structured training makes the difference between superficial use and genuine transformation of development practices.
This intensive one-day training takes you from initial GitHub Copilot configuration to advanced usage in a professional context. You start by setting up Copilot and Copilot Chat in Visual Studio Code, understanding how the AI model works, and its limitations. You then explore prompt engineering techniques specific to code: providing context, guiding generation with precise comments, and iterating on suggestions to get optimal results. The Copilot Chat module covers interactive usage for refactoring existing code, debugging errors, and explaining complex code segments. You practice generating complete unit tests and technical documentation. The training concludes with best practices for validating suggestions, managing security, and measuring ROI in your team.
This training targets software developers, tech leads, and engineering managers who want to integrate GitHub Copilot into their team’s development workflow. Developers of all levels, from junior to senior, will find techniques adapted to their practice. Prerequisites are minimal: experience with at least one programming language (Python, JavaScript, C#, Java, etc.) and familiarity with Visual Studio Code or a compatible IDE. No prior experience with GitHub Copilot is needed. A GitHub Copilot license is provided during the training through the lab environments.
Adopting GitHub Copilot in an organization goes beyond simply installing an extension. Teams that get the most out of the tool are those that have invested in training their developers on prompt engineering techniques specific to code. Understanding when to accept, modify, or reject a suggestion is crucial for maintaining code quality. Responsible usage also includes reviewing generated code for security, avoiding blind reliance on suggestions, and adapting prompts to the context of each project. This training gives your developers the skills to transform Copilot from a simple autocomplete tool into a genuine development partner.
ITTA delivers this training with MCT-certified trainers who have hands-on experience integrating GitHub Copilot into development teams. Sessions in Geneva and Lausanne are limited in size for personalized interaction with the trainer. Practical exercises allow you to concretely measure productivity gains on your own code types. This training validates a Microsoft Applied Skill, certifying your ability to effectively use GitHub Copilot in a professional context. Post-training support helps you set up best practices in your team and maximize return on investment.
Do I need a GitHub Copilot license to take this training?
No, the training uses official Microsoft lab environments that include access to GitHub Copilot. No personal license is needed for the training.
Which programming languages are supported by GitHub Copilot?
GitHub Copilot supports all major programming languages: Python, JavaScript, TypeScript, C#, Java, Go, Ruby, and many others. The training covers techniques applicable to any language.
Is Copilot suitable for experienced developers or only beginners?
Copilot adds value at every experience level. Senior developers use it to accelerate repetitive tasks, explore unfamiliar APIs, and generate boilerplate code, while juniors find it a learning support for discovering best practices.
How is generated code security managed?
The training covers best practices for validating generated code, including security review, checking for known vulnerabilities, and configuring Copilot to respect project coding standards.
Can this training be taken by a team?
Yes, ITTA offers dedicated sessions for teams, allowing exercises to be adapted to your specific technology stack and development practices.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
