Transform Your Development Workflow with GitHub Copilot and Advanced AI Tools Master the future of software engineering through a comprehensive training class designed for modern development teams.

• Duration: Five half-days of 4 hours each (20 hours total). Note that hours are shown in the Central time zone.
• Delivery: Remote (instructor in California; students distributed, class size 6–15)
• Audience: Software developers who are familiar with GitHub and Copilot novices

Who Should Attend

Software developers, technical leads, and engineering managers ready to leverage AI for accelerated development, legacy system modernization, and greenfield project creation. You should have some experience using ChatGPT, Claude, or a similar LLM, plus some familiarity with GitHub Copilot and software development fundamentals.

What You'll Learn

The first three days of AI-Assisted Development Fundamentals lay a practical foundation for developers ready to work smarter with AI. Day one dives straight into hands-on coding — setting up tools, building a real C# project using GitHub Copilot, and mastering TDD, CI/CD pipelines, and AI instruction files. Day two broadens the picture with deeper coverage of LLM concepts, prompt engineering, documentation generation, and AI-driven testing strategies, giving you the frameworks to integrate AI responsibly across your entire development workflow. By day three, you're building custom AI agents, defining skills, and connecting Model Context Protocol (MCP) servers — putting you in control of a fully tailored, AI-powered development environment.

Legacy Code Transformation Day four puts AI to work on real-world legacy codebases. You'll learn how to safely assess and protect brownfield code, use AI to identify technical debt — from outdated patterns and security vulnerabilities to missing tests and architectural drift — and build a prioritized backlog in about an hour. Hands-on exercises walk you through implementing fixes, managing pull requests, and comparing AI model outputs to find the most effective solutions.

Greenfield Development The final day brings it all together with an AI-first approach to greenfield development. You'll follow a structured workflow — from generating business requirements and building tech stack instruction files to architecting with vertical slices and implementing features with AI-generated prompts. Live coding exercises walk you through the full cycle: implementation, pull requests, and AI-assisted code review — leaving you with a repeatable, production-ready methodology for building new applications with AI from the ground up.

Why This Training Matters The AI development era is happening now. Developers using AI tools report 30–50% productivity gains, but only when used correctly. This training teaches you to harness AI as a force multiplier while avoiding common pitfalls that lead to poor code quality and technical debt.

You'll gain:

• Immediate productivity improvements through proper AI tool usage
• Enterprise-ready governance frameworks for team adoption
• Risk management strategies for production environments
• Template libraries and workflows for ongoing success

Cost Matrix

What's the Tech Stack for this Class?

• IDE: VS Code with the GitHub Copilot Extension
• SCC: GitHub
• Coding languages: C#, TypeScript, Vue.js
• Installation instructions: See this blog.

NOTE: The emphasis is on AI assistance and how to use AI effectively to generate code. The techniques are implementable in any tech stack. You are expected to have a bit of familiarity with VS Code and enough experience with GitHub to be able to clone a repository, but ask if you need help.

Training 5+ developers? Let's customize it.

Our AI-assisted development techniques work with any tech stack—but they're even more powerful when taught using your actual tools and project types. We'll tailor the class to your team's real-world needs.

Reach out to discuss a custom program.