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
โข Understand advanced GitHub Copilot features
โข Learn AI-driven development workflows
โข Understand advanced prompt engineering techniques
โข Gain knowledge of automated code generation
โข Learn debugging and optimization concepts
โข Understand Copilot collaboration workflows
โข Explore enterprise development use cases
โข Identify secure AI coding practices
Duration & Delivery Mode
14 hours
Target Audience
โข Experienced software developers and engineers
โข Full-stack, backend, and frontend developers
โข DevOps and platform engineers
โข Technical leads and senior engineers
โข Development teams scaling AI-assisted coding
Pre-requisites
โข Prior experience using GitHub Copilot or completion of GitHub Copilot Fundamentals
โข Strong understanding of at least one programming language
โข Experience with modern development workflows and IDEs
โข Familiarity with version control and code review practices
Skillset Achieved
โข Mastering advanced prompting and Copilot Chat techniques
โข Using Copilot for complex logic, architectures, and refactoring
โข Generating high-quality tests and documentation at scale
โข Applying secure, compliant, and maintainable AI-assisted coding
โข 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
โข Writing high-context prompts for complex code generation
โข Using Copilot Chat for reasoning and problem solving
โข Prompt chaining and iterative refinement
โข Avoiding ambiguous and low-quality outputs
Complex Code Generation and Architecture Support
โข Generating multi-file and modular code structures
โข Assisting with API design and service layers
โข Using Copilot for design patterns and best practices
โข Reviewing and validating AI-generated architectures
Refactoring, Optimization, and Code Quality
โข Large-scale refactoring with Copilot assistance
โข Improving performance and readability
โข Reducing technical debt using AI support
โข Maintaining consistency across codebases
Advanced Testing and Debugging Workflows
โข Generating unit, integration, and edge-case tests
โข Using Copilot to analyze bugs and error traces
โข Improving test coverage and reliability
โข Debugging complex application issues
Security, Compliance, and Responsible Usage
โข Identifying insecure or risky code suggestions
โข Secure coding patterns with Copilot
โข Licensing, IP, and compliance considerations
โข Establishing guardrails for enterprise usage
Team Adoption and Real-World Use Cases
โข Standardizing Copilot usage across teams
โข Copilot in DevOps, automation, and scripting
โข Measuring productivity and code quality impact
โข Best practices for long-term Copilot adoption
Assessment Topics
โข Advanced GitHub Copilot concepts
โข AI-assisted software development
โข Advanced prompt engineering
โข Automated code generation techniques
โข Debugging and refactoring workflows
โข Test case generation basics
โข Copilot integration and collaboration
โข Secure coding practices
โข Enterprise AI development use cases
โข Practical coding automation scenarios
Evaluation
โข Advanced hands-on coding exercises using GitHub Copilot
โข Refactoring and testing assessment
โข Secure coding and quality review activity
โข 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.