GitHub Copilot for Developers - Zero to Agentic Coding

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

12 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Unlock All Certificates

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of AI-assisted coding with GitHub Copilot and transform your development workflow. This course guides you through intelligent code completion, agent modes, and advanced prompt strategies, helping you write efficient, error-free code faster. You will gain hands-on experience in setting up Copilot, mastering instruction files, and integrating AI into real-world projects to enhance productivity and quality. Starting with foundational AI concepts, terminology, and the types of AI assistants, you will then explore Copilot’s features in depth. Lessons cover setup, inline suggestions, chat sessions, plan and edit modes, and practical use of the simple browser, checkpoints, and BROK (Bring Your Own Key) for customized AI access. Step-by-step exercises ensure you can implement these features confidently in your coding workflow. The course progresses into advanced instruction management, project setup in agent mode, smart actions, and prompt files. You’ll also learn to create custom agents for documentation, code review, and accessibility, while understanding agent skills, cloud and background agents, and integrating Model Context Protocol (MCP) with Supabase for secure, contextual AI interactions. Finally, you will explore best practices for AI code security and workflow optimization. Ideal for developers, software engineers, and tech enthusiasts aiming to leverage AI in coding, this course assumes basic familiarity with programming and Git. Whether you’re a professional seeking efficiency or a learner exploring AI-assisted development, the course offers structured guidance, practical exercises, and advanced strategies suitable for intermediate-level learners. By the end of the course, you will be able to confidently configure GitHub Copilot, create and manage custom AI agents, implement AI-powered workflows, and apply security best practices for AI-assisted software development.

Syllabus

Introduction & Resources
- In this module, we will introduce you to the course structure and objectives while highlighting the value of AI-assisted coding with GitHub Copilot. We will also guide you through essential resources, tools, and materials required for hands-on practice. By the end, you’ll be ready to engage fully with AI-powered development workflows.
Fundamentals Concepts
- In this module, we will cover foundational AI concepts critical to development. You will learn common terms and explore various types of AI assistants. This knowledge will prepare you to interact effectively with GitHub Copilot and other intelligent coding tools.
Copilot Basics
- In this module, we will guide you through setting up and navigating GitHub Copilot. You will explore its interface, modes, and capabilities for interactive coding. By mastering prompts, checkpoints, and external model integration, you’ll unlock efficient AI-assisted development.
Instruction Files
- In this module, we will dive into instruction files that guide AI behavior in coding projects. You will learn to configure, customize, and apply instructions for different scenarios. This ensures AI outputs align with project goals and coding standards.
Project Setup: Agent Mode / Smart Actions / Prompt File
- In this module, we will show you how to prepare your development environment for agent mode. You will explore contextual setup, Git integration, and smart actions to optimize workflows. Additionally, you will learn to standardize prompts across projects for consistency.
Custom Agent
- In this module, we will guide you through building custom AI agents tailored to your development needs. You will learn to create agents for documentation, code review, and accessibility. These agents will help automate tasks and improve overall project quality.
AGENT SKILLS
- In this module, we will explore agent skills that expand Copilot’s abilities. You will learn how to enable specialized functions to improve coding efficiency. Mastering agent skills allows for more precise and automated AI-assisted workflows.
Local, Background & Cloud Agent
- In this module, we will explore the deployment of AI agents in various environments. You will learn how local, background, and cloud agents support scalable development. This knowledge helps optimize your AI-powered workflows for different project needs.
MCP
- In this module, we will teach you how MCP works with Supabase to provide contextual data for AI agents. You will learn permission management and authentication for secure operations. These practices ensure your AI workflows are safe, structured, and reliable.
Workflow: Local, Background & Cloud Agent
- In this module, we will demonstrate how different agents collaborate within a workflow. You will explore methods to optimize coding efficiency using AI. By integrating local, background, and cloud agents, you can create seamless AI-powered development pipelines.
AI Code Security: Keys, Dependabot, Security Agent
- In this module, we will focus on security practices for AI-assisted development. You will learn to manage keys, monitor dependencies, and deploy security agents. This ensures that your AI coding workflow remains safe and resilient.
Bonus
- In this module, we will provide bonus insights to elevate your AI development skills. You will uncover additional Copilot tips and advanced techniques. This extra knowledge helps you maximize productivity and coding effectiveness.