
Explore how GitHub Copilot, an AI coding assistant, boosts productivity and happiness by using generative AI with your code base in the IDE.
Explore the key features of GitHub Copilot, including inline code suggestions, chat with your code, AI agents, vision and UI generation, and across IDEs and CLI integrations.
Master GitHub Copilot as a development professional by learning code completions, chat, agent tools, and the GitHub CLI. Achieve 50% time savings and sustainable productivity in daily tasks.
Follow a seven-day roadmap to master GitHub Copilot, starting with an introduction and setup, then daily feature walkthroughs of four to six features, practice, and a final review for certificate.
Clarifies that the course targets professional developers and teaches how to use GitHub Copilot to assist coding—enhancing speed and satisfaction without replacing core coding skills.
Henry Habib introduces himself as a data and automation consultant who boosts productivity using AI and no-code automation for organizations, and teaches through live and online trainings.
Embrace guided experiential learning by doing, not watching, and explore beyond the task while asking questions and engaging with the Q&A community to master GitHub Copilot.
Leave a rating to help me improve as a teacher, drive better content, and engage with you; get involved, share questions, and have fun as we dive in.
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Explore how GitHub Copilot uses your codebase as context within the IDE, sending prompts to cloud-based llms and returning code suggestions and chat responses.
Compare GitHub Copilot plans for individuals and organizations, including free, Pro, Pro Plus, business, and enterprise. Most features remain similar across plans, while enterprise offers full customization and fine-tuned models.
Explore the three GitHub Copilot chat modes: ask, edit, and agent, and learn how each mode handles code explanations, multi-file edits, and iterative automation including terminal commands.
Set up your environment for GitHub Copilot by creating a GitHub account, activating Copilot, and configuring it in VS Code, with organization licensing options and extension installation.
Master GitHub Copilot’s AI code completion, ghost text, and pair programming workflows, using keyboard shortcuts to accept, modify, and compare docstring variations in Python.
Explore inline fix and review actions in GitHub Copilot to detect runtime errors, apply fixes such as case-sensitive column names in pandas data frames, and improve code style and reliability.
Discover GitHub Copilot across multiple IDEs beyond VS Code, including JetBrains and Eclipse, with installation, chat and completions, and why VS Code offers the richest experience.
Explore how GitHub Copilot generates unit tests and code documentation, using pytest examples for Fahrenheit to Celsius and Confluence page, to boost productivity and save time.
Learn to use your own inline actions with GitHub Copilot, prompt effectively via inline chat or control i, fix errors, modify code, and generate tests and docs.
Explore GitHub Copilot chat inside your IDE, a context-aware AI pair programmer that chats, updates code, and remembers context across conversations, with modes like ask, edit, and agent.
Explore how GitHub Copilot acts as an AI companion to brainstorm and optimize business logic inside your IDE, including OCR workflows with AWS Textract or Azure cognitive services.
Explore how GitHub Copilot chat can generate a terminal based Python tic tac toe game from scratch in a new file, including code, error handling, and running the game.
Master slash commands in GitHub Copilot chat, using /explain, /fix, /tests and other workspace shortcuts to explain code, fix bugs, and generate unit tests with contextual prompts.
Explore how chat text anchors enhance GitHub Copilot by providing file, selection, terminal, and code base context to generate precise code insights.
Learn how to switch the underlying model in GitHub Copilot, choosing between GPT-4, GPT-3.5, or Gemini 2.5 Pro. Understand how enterprise and policy settings govern model access.
Explore how semantic indexing enables GitHub Copilot to map terms like average and variance to the right functions, boosting semantic code search and faster Copilot chats.
Learn how GitHub Copilot's next edits predict and apply changes across your codebase—refactoring variables, adding parameters, and updating calls with plausible, context-aware suggestions.
Master the GitHub Copilot cli in the terminal, differentiate it from the GitHub cli, learn installation, verify with gh, and explore practical cli use cases across platforms.
Install and authenticate GitHub Copilot on your machine, then explore the copilot cli and terminal workflows to explain and suggest commands, test git and bash tasks, and use rsync safely.
Explores using the GitHub Copilot CLI to generate and run bash commands, create a readme with MIT license, and manage git operations from the terminal.
Explore using GitHub Copilot on github.com with assistive and immersive modes to answer code questions across repositories, including how crypto prices use the CoinGecko API and extensions like Stack Overflow.
Learn to use GitHub Copilot Enterprise inside GitHub.com to auto-generate pull request summaries, tag PRs, relate to issues, and assist reviews and merges.
Explore GitHub workspaces, a cloud-based coding environment linked to GitHub Copilot that lets you edit, run, commit, and review code in a browser with Code Spaces, without local setup.
Explore how knowledge bases in GitHub Copilot enterprise ground Copilot across your organization by indexing markdown files from selected repositories for Copilot chat on a shared code base.
Explore Copilot edits in the GitHub Copilot masterclass, where edit mode automatically edits multiple files across your codebase and shows a full diff.
Explore how GitHub Copilot's edit mode updates a Python task manager across models, services, and utilities to add a due date, test, and update the readme.
Explore multimodal GitHub Copilot Vision that ingests images and UI samples to recreate this Trello-like UI in a Python Flask application from the pasted image, using preview mode.
Copilot vision can reproduce graphs from images using matplotlib, but it is inconsistent and may miss values or labels, so use it only when the graph includes explicit value labels.
Explore how to configure custom instructions in GitHub Copilot to enforce project conventions and language choices, and learn practical setup steps and best practices.
Explore custom instructions with GitHub Copilot to scaffold files, log changes, and build a Python Flask server that returns the current price of gold, using language-specific instruction files.
Learn to create, reuse, and share prompt files in GitHub Copilot, enabling standardized reviews and tests across projects; set up prompts in VS Code and apply them with context.
Explore how GitHub Copilot extensions add tools like web search and databases, enabling Copilot to write code and take actions; enable extensions and test in a project.
Demonstrates using the MongoDB chat extension in GitHub Copilot to query a MongoDB cluster, selecting databases and collections and retrieving movie titles and cast.
Explore combining GitHub Copilot agents with tools, using the OpenAI agents SDK to build an agent, enable web search, and create a Telegram bot that reports weather in Paris, France.
Learn how the model context protocol (MCP) standardizes tool integration with language models and IDEs, enabling GitHub Copilot to connect apps and perform file and repository actions.
Learn how MCP servers integrate with GitHub Copilot using a Slack example in VS Code. The walkthrough covers setup, permissions, and posting messages to channels from the IDE.
Congratulations on completing the course and embracing GitHub Copilot to boost productivity and happiness. Learn to code faster, focus on high-level problem solving, use available resources, and claim your certificate.
This is the course that will improve your productivity as a developer with GitHub Copilot for one hour a day over 7 days. Click the video for more information.
Did you know: developers who are proficient with GitHub Copilot complete tasks in half the time, and they are 88% more satisfied that those who don't. Generative AI has seen the biggest productivity boost in software development since digital software, and it's just going to get better!
This course is structured for you to succeed by just dedicating one hour every day for 7 days. By the end of this course, you will master GitHub Copilot and know how to use all its features to become an AI-supercharged developer.
Note 1: this course is meant for developers and coders. We will not be using Copilot for “vibe-coding” (i.e., making POCs from scratch that are great as POCs but not fully deployable apps). We will be going through actual developer use-cases that you face on a day-to-day basis. This is not a "no-code" course.
Note 2: We assume that you are already familiar with development concepts and version control system concepts like Git.
This course teaches you how to use GitHub Copilot to leverage AI-powered code completion, chat modes, CLI commands, and advanced features like semantic code search, AI-assisted code reviews, and AI agents. You’ll explore multi-environment support, pull-request summaries, and customization options for efficient coding. We literally go through every single feature in GitHub Copilot.
By the end of this course, you’ll be able to master GitHub Copilot’s diverse functionalities, optimize your development environment, and become proficient in integrating its AI capabilities into your daily workflows.
What is GitHub Copilot?
GitHub Copilot is an AI-powered coding assistant developed by GitHub that suggests code completions, functions, and even entire blocks of code directly within your IDE. It helps developers write code faster by understanding context from comments and existing code to generate relevant suggestions in real time.
GitHub Copilot provides intuitive and intelligent suggestions. Powered by cutting-edge models like GPT-4o, Copilot helps you code smarter, faster, and with fewer errors. With millions of developers already leveraging Copilot, it’s rapidly becoming the go-to solution for modern coding.
Why learn GitHub Copilot?
Simple - save time, complete tasks quicker, focus on the big problems and let AI handle the rest. Developers who are proficient with GitHub Copilot complete tasks in half the time, and they are 88% more satisfied that those who don't. As a developer, you need to learn GitHub Copilot to stay competitive.
What is this course all about?
This course has one goal - to make you proficient at GitHub Copilot in just 7 days. Ultimately, this means going through GitHub Copilot's vast set of features and learning how to integrate them into your development workflow. Whether you're looking to save time, improve code quality, or explore advanced tools, you’ll learn how to:
Use GitHub Copilot’s AI-powered code completion features
Utilize chat modes, ask modes, CLI commands, and inline actions
Integrate GPT models for smarter code generation and suggestions
Implement semantic code search and AI-assisted code reviews
Optimize multi-environment workflows and custom instructions
Explore tools like knowledge bases, pull-request summaries, and prompts
Leverage GitHub Copilot AI Agents, with Tools, and MCPs
This course is hands-on, practical, and tailored for developers seeking real-world coding efficiency with GitHub Copilot’s advanced capabilities. Note that the IDE we use in this course in VS Code.
What will you learn?
Improve your productivity and happiness as a developer - Being proficient in GitHub Copilot has shown to make developers 55% faster at their work, which is exactly what you will learn in this course
Learn and master all GitHub Copilot features, even nuanced ones - we will go through everything, from inline code completions to PR summaries to Agent mode extensions and MCPs
Learn to integrate GitHub Copilot into your day-to-day (know when to use it) - unit tests, function definitions, code doc strings, architecting, version control systems, security reviews, feature add-ons, everything
Accelerate and revolutionize your development workflow - Master GitHub Copilot in just one hour a day over 7 days, making it a sustainable path for you to upskill
Why choose this course?
Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on GitHub Copilot. There is no other course like it that teaches you everything from start to finish. It contains over 6 hours of instructional content!
Learn it in 7 days - this course is structured to help you succeed by just dedicating an hour on it every day. We go through several features each day and apply it to real-life use-cases
Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrates workflows with you
Step by step - we go through every single concept one-by-one. This improves your probabilities of learning GitHub Copilot rather than going haphazardly through each feature
Teacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video
Course Overview
Introduction to GitHub Copilot - Discover what GitHub Copilot is, its standout features, and get a bird’s-eye view of the course structure.
GitHub Copilot Primer and Environment Setup - Understand how GitHub Copilot functions under the hood, explore the available plans, and get your environment up and running.
Day 1 – Foundations & Inline Code in GitHub Copilot - Master AI code completions, leverage inline actions to fix or rewrite code, enable multi-environment support, and explore different interaction modes like Ask Mode.
Day 2 – Conversational Workflows in GitHub Copilot - Dive deep into sidebar-based chat workflows, learn to use slash commands, model selection options, and leverage context-aware prompts in real coding scenarios.
Day 3 – Project-Wide Intelligence in GitHub Copilot - Unlock smart code discovery with semantic search, get proactive edit suggestions, utilize GitHub Copilot CLI, and harness chat within GitHub.
Day 4 – Developer Collaboration in GitHub Copilot - Boost team productivity with AI-assisted code reviews, PR summaries, workspace tools, and enterprise-ready knowledge base features.
Day 5 – Code Edits & Personalization in GitHub Copilot - Customize your Copilot with inline editing, Copilot Vision, custom instructions, and reusable prompt files tailored to your coding standards
Day 6 – Agents, Tools, & Extensions in GitHub Copilot - Step into advanced territory with Agent Mode, powerful chat extensions, tool integrations, and multi-context processing (MCP) servers.
Day 7 – Developer Use-Cases - Apply everything you have learned into common developer use-cases
Conclusion - Celebrate your achievement, and claim your course certificate.
If you want to learn how to leverage AI in your development workflow and use GitHub Copilot to boost your productivity and happiness, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.