GitHub Copilot for Developersin New York

Module 1: Introduction to GitHub Copilot

• Understanding GitHub Copilot – Learn the fundamentals, purpose, capabilities, and role of GitHub Copilot in modern software development in New York, United States.
• AI-Assisted Software Development – Explore how AI can support developers across coding, debugging, testing, documentation, and software delivery workflows in New York, United States.
• GitHub Copilot Plans and Access – Understand Copilot access, plans, supported environments, and organizational considerations in New York, United States.

Module 2: Setting Up GitHub Copilot

• GitHub Copilot Account Setup – Configure GitHub Copilot and understand the requirements for accessing its development features in New York, United States.
• IDE Integration – Set up GitHub Copilot in supported development environments and configure the developer workspace in New York, United States.
• Copilot Configuration – Explore settings, permissions, suggestions, and usage preferences for effective AI-assisted development in New York, United States.

Module 3: GitHub Copilot Code Suggestions

• Inline Code Completion – Learn how Copilot generates contextual coding suggestions while developers write code in New York, United States.
• Natural-Language Code Generation – Use comments and natural-language instructions to generate functions, classes, snippets, and application components in New York, United States.
• Next Edit Suggestions – Explore AI-assisted suggestions for potential changes and improvements during development in New York, United States.

Module 4: GitHub Copilot Chat

• Introduction to Copilot Chat – Learn how conversational AI can assist with programming questions, development tasks, and technical explanations in New York, United States.
• Code Explanation and Analysis – Use Copilot Chat to understand unfamiliar code, files, repositories, and programming concepts in New York, United States.
• Context-Aware Developer Assistance – Learn how to provide relevant context to obtain more useful coding responses in New York, United States.

Module 5: Prompt Engineering for Developers

• Developer Prompting Fundamentals – Learn how to create clear and specific prompts for generating reliable coding assistance in New York, United States.
• Context and Constraints – Understand how requirements, project context, coding standards, and constraints influence AI-generated responses in New York, United States.
• Iterative Prompting Techniques – Practice refining prompts and reviewing responses to improve development outcomes in New York, United States.

Module 6: AI-Assisted Programming

• Code Generation Techniques – Generate application logic, reusable functions, data structures, and programming components with GitHub Copilot in New York, United States.
• Multi-Language Development – Explore AI-assisted development across commonly used programming languages and frameworks in New York, United States.
• API and Query Assistance – Use Copilot to assist with API usage, database queries, and infrastructure-as-code development in New York, United States.

Module 7: Code Understanding and Refactoring

• Code Explanation – Analyze existing implementation logic and improve understanding of complex codebases in New York, United States.
• Refactoring Assistance – Use AI assistance to explore cleaner, more maintainable, and more readable code structures in New York, United States.
• Code Transformation – Apply Copilot to modify and adapt existing code according to development requirements in New York, United States.

Module 8: Debugging and Problem Solving

• Bug Identification – Use GitHub Copilot to investigate potential causes of coding errors and application issues in New York, United States.
• Error Analysis – Provide error messages, logs, and relevant context to support AI-assisted troubleshooting in New York, United States.
• Solution Validation – Review, test, and validate AI-generated fixes before applying them to production applications in New York, United States.

Module 9: AI-Assisted Testing

• Unit Test Generation – Use GitHub Copilot to create unit testing code for application components in New York, United States.
• Test Scenario Development – Generate test scenarios and edge cases based on application requirements in New York, United States.
• Test Improvement – Use AI assistance to enhance test coverage, readability, and maintainability while validating generated tests in New York, United States.

Module 10: Documentation with GitHub Copilot

• Code Documentation – Generate comments, explanations, and technical documentation for application code in New York, United States.
• README Development – Use Copilot to assist with project documentation and developer onboarding materials in New York, United States.
• Technical Content Generation – Create structured explanations and documentation while reviewing AI-generated content for accuracy in New York, United States.

Module 11: GitHub Copilot Agent Mode

• Understanding Agent Mode – Explore how Copilot can work through multi-step development tasks within supported IDE environments in New York, United States.
• Task Planning and Execution – Provide high-level requirements and allow Copilot to analyze files, propose changes, and work through development tasks in New York, United States.
• Reviewing Agent Changes – Learn how to inspect generated edits and proposed commands before accepting changes in New York, United States.

Module 12: Copilot Customization and Instructions

• Custom Instructions – Configure project-specific instructions to guide Copilot responses according to development standards in New York, United States.
• Repository Context – Provide relevant project information and conventions to improve AI-assisted development results in New York, United States.
• Reusable Prompts and Customization – Explore methods for tailoring Copilot to specific development workflows and project requirements in New York, United States.

Module 13: GitHub Copilot and Software Development Workflows

• Issue-Based Development – Explore how Copilot can assist developers in understanding and implementing tasks originating from GitHub issues in New York, United States.
• Pull Request Workflows – Learn how AI assistance can support pull request preparation, summaries, and development activities in New York, United States.
• AI-Assisted Software Lifecycle – Understand how Copilot can support development activities from planning through implementation and review in New York, United States.

Module 14: GitHub Copilot Code Review

• AI-Assisted Code Review – Learn how GitHub Copilot can review pull requests and provide suggestions for potential improvements in New York, United States.
• Reviewing Suggested Changes – Evaluate AI-generated review comments and determine which recommendations should be applied in New York, United States.
• Repository Review Instructions – Understand how repository-specific instructions can help guide Copilot code reviews according to project standards in New York, United States.

Module 15: GitHub Copilot CLI and Developer Tools

• Copilot CLI Fundamentals – Explore GitHub Copilot CLI capabilities for AI-assisted development tasks from the command line in New York, United States.
• Command Assistance – Learn how natural-language interaction can support command-line development workflows in New York, United States.
• Developer Workflow Integration – Apply Copilot-assisted command-line techniques to practical development scenarios in New York, United States.

Module 16: MCP and AI Tool Integration

• Model Context Protocol Fundamentals – Understand how MCP can extend AI coding workflows with external tools and contextual information in New York, United States.
• MCP Server Integration – Explore how supported MCP servers can provide additional capabilities to GitHub Copilot workflows in New York, United States.
• Tool-Enabled Development – Learn how AI agents can interact with external tools while maintaining developer oversight and review in New York, United States.

Module 17: Responsible and Secure AI-Assisted Development

• Reviewing AI-Generated Code – Learn why developers must validate generated code for correctness, quality, maintainability, and security before use in New York, United States.
• Security and Privacy Considerations – Understand important security, privacy, intellectual property, and organizational considerations when using AI coding tools in New York, United States.
• Responsible AI Practices – Apply responsible practices when incorporating AI-generated content and code into software development workflows in New York, United States.

Module 18: Hands-On GitHub Copilot Developer Project

• Project Planning – Define application requirements and create an AI-assisted development plan using GitHub Copilot in New York, United States.
• Application Development – Build application components using code suggestions, Copilot Chat, prompting, debugging, testing, and agent-assisted workflows in New York, United States.
• Testing and Code Review – Validate the application, review AI-generated code, improve implementation quality, and prepare the project for delivery in New York, United States.
• Project Presentation – Demonstrate the completed GitHub Copilot project and explain the development approach, AI-assisted techniques, and validation process in New York, United States.