👨‍🏫 Instructor-Led Training

AZ-2007: Accelerate app development by using GitHub Copilot

Course Code: AZ-2007
Duration: 1 Day
Level: Intermediate
Category: Software Development

Course Overview

Course Description

Boost your application development speed and quality by leveraging GitHub Copilot in this instructor-led course. Learn how to integrate AI-powered code suggestions directly into your development workflow, enhance productivity with intelligent code completions, and accelerate feature delivery. This course focuses on practical techniques for using GitHub Copilot within Visual Studio Code and GitHub environments to streamline coding, reduce errors, and boost developer efficiency.


Target Audience

Ideal for:

  • Software Developers, Full-stack Engineers, and DevOps Professionals seeking to accelerate coding and app development using AI-assisted tools

  • Developers familiar with GitHub, Visual Studio Code, and modern programming languages looking to enhance productivity through AI

Prerequisites:

  • Basic proficiency with GitHub and Visual Studio Code

  • Familiarity with software development lifecycle and coding principles


Course Outline

Module 1: Introduction to GitHub Copilot

  • Explore the capabilities and architecture of GitHub Copilot as an AI pair programmer

  • Understand how AI-driven code completions can accelerate app development

  • Set up GitHub Copilot in Visual Studio Code and GitHub environments

Module 2: Enhancing Code Productivity with AI Suggestions

  • Leverage GitHub Copilot’s contextual code suggestions for multiple programming languages

  • Customize code generation based on project context and coding style

  • Reduce coding errors and accelerate feature implementation using AI assistance

Module 3: Integrating GitHub Copilot into DevOps Workflows

  • Use GitHub Copilot to streamline code reviews and pull requests

  • Collaborate effectively using AI-driven code insights and suggestions

  • Align GitHub Copilot usage with CI/CD pipelines to accelerate deployment cycles

Module 4: Best Practices and Security Considerations

  • Understand security and privacy implications when using AI coding assistants

  • Implement best practices to ensure code quality and compliance

  • Evaluate AI-generated code for maintainability and performance


Hands-On Experience

Approximately 40–50% of this course involves hands-on exercises that help developers apply GitHub Copilot features in real coding scenarios to accelerate app development effectively.


Skills You’ll Gain

By completing AZ-2007, you will be able to:

  • Set up and configure GitHub Copilot in your development environment

  • Use AI-powered code completions to boost coding speed and accuracy

  • Integrate GitHub Copilot into collaborative DevOps workflows

  • Apply best practices to maintain security and code quality while using AI tools

Hands-On Labs

This course includes practical, hands-on laboratory exercises to reinforce your learning:

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