This course focuses on advanced prompting techniques, Copilot Chat workflows, complex code generation, testing and refactoring strategies, secure coding practices, and team-level adoption.
Overview
Advanced GitHub Copilot Training is a hands-on two-day program designed for experienced developers who want to maximize productivity and code quality using GitHub Copilot. This course focuses on advanced prompting techniques, Copilot Chat workflows, complex code generation, testing and refactoring strategies, secure coding practices, and team-level adoption, enabling participants to use Copilot as a powerful development partner across real-world software engineering scenarios.
Learning Outcomes
• Understand advanced GitHub Copilot features
• Learn AI-driven development workflows
• Understand advanced prompt engineering techniques
• Gain knowledge of automated code generation
• Learn debugging and optimization concepts
• Understand Copilot collaboration workflows
• Explore enterprise development use cases
• Identify secure AI coding practices
Duration & Delivery Mode
14 hours
Target Audience
• Experienced software developers and engineers
• Full-stack, backend, and frontend developers
• DevOps and platform engineers
• Technical leads and senior engineers
• Development teams scaling AI-assisted coding
Pre-requisites
• Prior experience using GitHub Copilot or completion of GitHub Copilot Fundamentals
• Strong understanding of at least one programming language
• Experience with modern development workflows and IDEs
• Familiarity with version control and code review practices
Skillset Achieved
• Mastering advanced prompting and Copilot Chat techniques
• Using Copilot for complex logic, architectures, and refactoring
• Generating high-quality tests and documentation at scale
• Applying secure, compliant, and maintainable AI-assisted coding
• Improving team productivity with advanced Copilot workflows
Course Outcome
By the end of this training, participants will be able to use GitHub Copilot at an advanced level to design, generate, refactor, test, and secure complex codebases, apply effective prompting strategies, and integrate Copilot into team workflows for scalable, responsible, and high-quality software development.
Course Outline
Advanced Prompting and Copilot Chat Techniques
• Writing high-context prompts for complex code generation
• Using Copilot Chat for reasoning and problem solving
• Prompt chaining and iterative refinement
• Avoiding ambiguous and low-quality outputs
Complex Code Generation and Architecture Support
• Generating multi-file and modular code structures
• Assisting with API design and service layers
• Using Copilot for design patterns and best practices
• Reviewing and validating AI-generated architectures
Refactoring, Optimization, and Code Quality
• Large-scale refactoring with Copilot assistance
• Improving performance and readability
• Reducing technical debt using AI support
• Maintaining consistency across codebases
Advanced Testing and Debugging Workflows
• Generating unit, integration, and edge-case tests
• Using Copilot to analyze bugs and error traces
• Improving test coverage and reliability
• Debugging complex application issues
Security, Compliance, and Responsible Usage
• Identifying insecure or risky code suggestions
• Secure coding patterns with Copilot
• Licensing, IP, and compliance considerations
• Establishing guardrails for enterprise usage
Team Adoption and Real-World Use Cases
• Standardizing Copilot usage across teams
• Copilot in DevOps, automation, and scripting
• Measuring productivity and code quality impact
• Best practices for long-term Copilot adoption
Assessment Topics
• Advanced GitHub Copilot concepts
• AI-assisted software development
• Advanced prompt engineering
• Automated code generation techniques
• Debugging and refactoring workflows
• Test case generation basics
• Copilot integration and collaboration
• Secure coding practices
• Enterprise AI development use cases
• Practical coding automation scenarios
Evaluation
• Advanced hands-on coding exercises using GitHub Copilot
• Refactoring and testing assessment
• Secure coding and quality review activity
• Final knowledge evaluation quiz
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in Advanced GitHub Copilot Training, validating their expertise in applying advanced GitHub Copilot techniques for complex development workflows, secure coding, and team-level productivity.
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What Our Students Say
This course showed how to use GitHub Copilot effectively for complex systems, not just simple code snippets.
The advanced prompting and refactoring techniques delivered immediate productivity gains.
The automation and scripting use cases were extremely valuable for real-world DevOps workflows.
A practical training that helped standardize Copilot usage across our development teams.
An excellent deep dive into responsible and high-impact use of GitHub Copilot.