
Learn Git as a version control system that tracks changes, enables rolling back to previous versions, and supports collaboration, with GitHub as a hub to host and share repositories.
Install git via the git scm; Mac users run brew install git after homebrew, while Windows users use the official installer with path setup and open ssh and open ssl.
Set up a GitHub account by visiting github.com, create a free demo account for this course, sign up with a test email and username, and confirm your email.
Install Python to see how Copilot can assist your coding projects, using a language widely used with AI and ML libraries, with no prior experience required.
Install Visual Studio Code to use with GitHub Copilot, then create projects and repositories. Download from code.visualstudio.com, run the installer for your OS, and confirm success.
Create an empty folder, open it in VS Code, set up and activate a Python virtual environment, then create a demo folder with hello world.py to print hello world.
Log into your GitHub demo account, create your repository named 'my python project 2' with a description, and select a Python gitignore before creating.
Learn to connect your local project to a remote GitHub repository by setting up an SSH key pair, configuring SSH, and adding the public key to GitHub.
Connect your local repository to a remote GitHub repo to enable two-way sync with git init, set origin, fetch, merge, add, commit, push, and merge a pull request on master.
resolve the default branch conflict by aligning local and remote names: rename the local master to main, then pull from origin to sync with the remote main.
Create and work on a local branch, commit changes, push to a remote branch, and open a pull request to merge into the main branch.
Learn to create a local feature branch from the existing feature, make changes, commit, push, and open a pull request to merge into the remote feature branch, not main.
Explore GitHub Copilot chat modes in Visual Studio Code: agent mode for multi-step project setup, ask mode for questions and suggestions, edit mode for patching code, configure modes for rules.
Explore GitHub Copilot chat in the web interface, with model options, repository-specific contexts, and spaces for collaborative work on issues, pull requests, code, and git commands.
Learn how to provide context in Copilot chat by selecting files such as a520.py and repositories, attaching extensions, or uploading files, so Copilot tailors code help to your project.
Master agent mode in copilot chat to write and run code, including a palindrome function with a docstring, a function call, and running the file in the terminal.
Discover how Copilot Agent writes dedicated unit tests for a feature, creates a test file, runs tests, and automatically fixes errors until all tests pass.
Use copilot to debug a feature in A521.py, fix issues in the multiply and factorial, and create a unit test file test A521.py to run all six tests.
Use Copilot agent mode to commit all changes and push to the remote origin, or selectively commit specific files, then create and merge the PR after review.
Discover how special context tags in Copilot work, add files with the hash key, and use context commands to fetch articles and summarize key points.
Discover how to build multi-layer projects with Copilot from scratch to end, using a Python Flask to-do app with endpoints to add and delete tasks and run locally.
Explore slash commands in the Copilot editor, using extensions to run workspace, terminal, and project actions like explain, search, new files, notebooks, unit tests, and save chat history.
Explore extensions inside Copilot Chat, including terminal, VS Code, workspace, and GitHub; log into GitHub, connect your account, and run commands like summarize PRs or fetch latest commits.
Explore GitHub Copilot chat on the web, using repo context to query commits and PRs, then create, assign, and close issues with built-in workflows.
Explore code generation with Copilot Web to create files, manage a profile readme, and build a guessing game in a repo via pull requests and merging, without using an IDE.
Explore pulling requests with GitHub Copilot chat, summarizing your latest PR and reviewing open PRs. Approve, merge, and observe automated code changes and comments.
Explore basic and advanced git commands through Copilot Web, including creating and switching branches, merging, stash, cherry-pick, revert, and reset, using end-to-end workflows in the web chat.
This course offers a complete, hands-on deep dive into GitHub Copilot — from setting up Git and GitHub from scratch to mastering advanced AI-powered coding workflows used in real-world software development.
The learning approach is purely practical and example-driven. There are no boring slides or theory-heavy presentations. Every concept is explained through real-time coding, live demonstrations, and hands-on exercises so you can clearly see how GitHub Copilot helps you write better code, faster.
You’ll begin with the fundamentals of Git and GitHub, set up your development environment using Python and VS Code, and gradually move into AI-assisted development using GitHub Copilot. Step by step, you’ll learn how to use Copilot Chat, slash commands, extensions, special context tags, and agent mode to write, debug, test, commit, and push code directly from your editor.
This course also covers GitHub Copilot inside the GitHub web interface, including working with repositories, branches, and pull requests using AI-powered assistance.
Throughout the course, you are encouraged to post questions and feedback in the Q&A section — every query is personally reviewed and answered. The detailed course outline below gives you a clear view of the topics covered and the practical depth of the training. If there’s a specific Copilot feature you’d like to explore further, you can always reach out via Udemy Messenger.
What You’ll Learn
Git fundamentals and GitHub workflows used in real projects
Setting up Python, VS Code, and GitHub integration
Working with repositories, branches, and collaboration workflows
Installing and configuring GitHub Copilot in your editor
Using Copilot Chat effectively with proper context
Writing functions, tests, and multi-step solutions using Agent Mode
Debugging code and fixing issues with AI assistance
Using slash commands, internal commands, and extensions
Committing and pushing changes using Copilot
Working with Copilot inside GitHub Web and Pull Requests
Who This Course Is For
Developers and automation engineers exploring AI-assisted coding
Manual testers or beginners transitioning into GitHub and automation workflows
Students and freshers looking for practical Git and AI coding skills
Team leads and QA managers evaluating AI tools for productivity improvement
Anyone curious about how AI is used in real-world software development
How to Get the Best Out of This Course
Spend 15–20 minutes daily, at least 5 days a week — consistency matters
Each lesson is short and focused, making it easy to practice alongside learning
Try every example in your own VS Code environment
Complete the exercises and review the provided sample code
Ask questions anytime — personal support is included
By the End of This Course:
You’ll confidently use GitHub Copilot in VS Code and GitHub Web, write cleaner and more efficient code, automate repetitive tasks, and experience how AI is transforming modern software development.
Start learning today and build the skills needed for the future of coding with GitHub Copilot.
Happy Learning!