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Tom Phillips and WebDevEducation (Tom Phillips)

August 2024 updates: This course has been updated to use the latest and greatest tools available from GitHub Copilot, including GitHub Copilot chat, the GitHub Copilot CLI tool, and GitHub Copilot chat in the GitHub Mobile App.

Welcome to the GitHub Copilot course. In this course, you will learn everything you need to know about using GitHub Copilot, the revolutionary AI-powered coding tool that helps developers write code faster and more efficiently.

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August 2024 updates: This course has been updated to use the latest and greatest tools available from GitHub Copilot, including GitHub Copilot chat, the GitHub Copilot CLI tool, and GitHub Copilot chat in the GitHub Mobile App.

Welcome to the GitHub Copilot course. In this course, you will learn everything you need to know about using GitHub Copilot, the revolutionary AI-powered coding tool that helps developers write code faster and more efficiently.

Whether you're an experienced programmer or just starting out, GitHub Copilot can help you write better code in less time. With its advanced machine learning algorithms, GitHub Copilot can suggest code snippets and even entire functions based on your code context, making it easier than ever to write clean, concise, and bug-free code.

Over the course of this online program, you'll learn how to:

  • Install and set up GitHub Copilot for web development

  • Effectively use Copilot to generate code snippets and complete functions

  • Generate unit tests and commit messages using GitHub Copilot

  • Learn how to get the best out of GitHub Copilot with various tips and tricks

  • Turbocharge your productivity as a developer.

This course is split into 2 main sections. In the first section we'll create a real-world practical project called "Bucks2Bar", a simple web application using html, javascript, and css, that allows users to input income and expenses for each month of the year, plot it to a bar chart, then download that chart as an image. The majority of this project code will be generated using GitHub Copilot and GitHub Copilot chat and will allow us to cover a wide range of Github Copilot features.

The second section of this course covers a load of extra lectures around GitHub Copilot Chat. Features such as the GitHub Copilot CLI tool, various ways to provide context to GitHub Copilot Chat, various ways to initialize a new chat, generating unit tests and commit messages with GitHub Copilot, using the GitHub Copilot Chat feature in the GitHub mobile app, refactoring code, tips and tricks + more.

This course will guide you through each step of the process, providing practical examples and real-world scenarios to help you master this powerful coding tool. By the end of the course, you'll have the skills and confidence to use GitHub Copilot to improve your coding productivity and take your coding skills to the next level.

So what are you waiting for? Enroll now and discover the power of GitHub Copilot.

Enroll now

What's inside

Learning objectives

  • Turbocharge your productivity as a web developer with github copilot
  • Learn to use github copilot ai to generate code for you
  • Use github copilot to generate code from libraries and plugins without needing to refer to documentation
  • Generate unit tests using github copilot chat
  • Increase your value as a web developer by learning github copilot

Syllabus

Introduction
Important - please read before you begin the course!
Udemy ratings & reviews
Set up local environment to get started with GitHub Copilot
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners and intermediate learners as GitHub Copilot provides a range of support
Develops skills that are highly relevant in industry, such as code generation using GitHub Copilot
Taught by instructors recognized for their work in web development education
Provides practical, real-world training through building a web application using GitHub Copilot
Covers a wide range of GitHub Copilot features and capabilities

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Reviews summary

Github copilot productivity guide

According to students, this course offers a practical and up-to-date guide to harnessing GitHub Copilot for enhanced productivity. Learners appreciate the real-world project, "Bucks2Bar," which allows for hands-on application of Copilot's features in web development. The course effectively covers a comprehensive range of functionalities, including Copilot Chat, CLI, and mobile app integration, alongside valuable tips for generating unit tests and commit messages. It aims to turbocharge developer efficiency, providing a solid foundation for both new and existing programmers. The August 2024 updates ensure the content remains relevant.
Ideal for beginners; advanced users may desire more depth.
"As an experienced developer, I found some sections a bit basic, but it's a solid introduction."
"The 'Hero' aspect might be an overstatement for those looking for advanced customization or AI principles."
"I felt it provided a strong foundation but could benefit from more complex scenarios."
Regularly updated to reflect the latest Copilot tools.
"It's great to see the August 2024 updates, ensuring the content is current."
"The instructor keeps the course relevant with the latest features, which is essential for AI tools."
"I appreciate that the course stays current with GitHub Copilot's rapid evolution."
Covers a wide range of GitHub Copilot functionalities.
"I appreciate the breadth of topics, from basic setup to CLI and mobile app features."
"The course effectively demonstrated Copilot Chat, inline chat, and various useful prompts."
"Learning to generate unit tests and commit messages with Copilot was a game-changer for my workflow."
Hands-on project effectively applies Copilot features.
"I found the 'Bucks2Bar' project incredibly helpful for applying Copilot in a real scenario."
"Building a functional web app demonstrated Copilot's utility effectively."
"The hands-on coding approach solidified my understanding of AI-assisted development."
Provides actionable strategies to boost coding efficiency.
"This course truly delivered on its promise to turbocharge my coding productivity."
"I learned valuable tips and tricks to get the best out of Copilot and write code faster."
"My workflow has significantly improved since applying the techniques taught here."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GitHub Copilot Zero to Hero: Use AI to write code for you! with these activities:
Review HTML, CSS, JavaScript
Refresh your knowledge of these basics to prepare for working with GitHub Copilot.
Browse courses on HTML
Show steps
  • Review the basics of HTML syntax.
  • Review the basics of CSS syntax.
  • Review the basics of JavaScript syntax.
Review terminals for web development
Identify misconceptions and misunderstandings with terminals to make sure you build a solid foundation.
Browse courses on Terminal
Show steps
  • Review the basics of working with terminals.
  • Practice creating and navigating directories.
  • Learn how to use common terminal commands.
  • Review how to use Git commands in a terminal.
Complete coding challenges using HTML, CSS, JavaScript
Improve your understanding and problem-solving skills by practicing coding challenges.
Browse courses on Coding
Show steps
  • Find coding challenges online or in books.
  • Attempt to solve the challenges using HTML, CSS, and JavaScript.
  • Review your solutions and identify areas for improvement.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on using GitHub Copilot
Accelerate your learning by following tutorials that provide step-by-step guidance.
Browse courses on GitHub Copilot
Show steps
  • Find tutorials on using GitHub Copilot.
  • Follow the tutorials carefully and complete all the exercises.
  • Ask questions in the tutorial forums or online communities if you encounter any difficulties.
Find a mentor who can provide guidance on using GitHub Copilot
Seek guidance and support from experienced individuals to accelerate your learning.
Browse courses on GitHub Copilot
Show steps
  • Identify potential mentors who have experience with GitHub Copilot.
  • Reach out to your mentors and express your interest in learning from them.
Compile resources on GitHub Copilot
Enhance your understanding by collecting and organizing relevant materials.
Browse courses on GitHub Copilot
Show steps
  • Gather articles, tutorials, and other resources on GitHub Copilot.
  • Organize the resources into a coherent collection.
  • Share your compilation with others.
Build a simple web application using GitHub Copilot
Apply your skills and knowledge to build a practical project that demonstrates your understanding of GitHub Copilot.
Browse courses on GitHub Copilot
Show steps
  • Plan and design your web application.
  • Set up your development environment.
  • Use GitHub Copilot to assist you in writing the code for your application.
  • Test and debug your application.
  • Deploy your application to a hosting provider.
Contribute to open-source projects that use GitHub Copilot
Enhance your understanding and gain practical experience by collaborating on real-world projects.
Browse courses on GitHub Copilot
Show steps
  • Identify open-source projects that use GitHub Copilot.
  • Contact the project maintainers and express your interest in contributing.
  • Work on specific issues or features that align with your skills and interests.

Career center

Learners who complete GitHub Copilot Zero to Hero: Use AI to write code for you! will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GitHub Copilot Zero to Hero: Use AI to write code for you!.
Is the official specification for CSS. It comprehensive reference for web developers who want to learn everything about CSS.
A classic book on test-driven development (TDD). It explains the fundamentals of TDD and shows how to use it to improve code quality and reduce defects. It also provides a number of case studies that demonstrate how TDD can be used in practice.
A short, but very good book on how to write object-oriented code using tests. encourages test-driven development and teaches how to test the design of object-oriented systems. It also provides strategies for writing maintainable tests.
This comprehensive guide provides a thorough overview of CSS, covering everything from basic syntax to advanced techniques. It is an essential resource for web developers who want to master CSS and create visually stunning websites.
Comprehensive guide to using Chart.js. It covers everything you need to know, from the basics to advanced techniques.
Written by a leading AI researcher, this book addresses the critical challenge of ensuring that AI systems are designed to be beneficial and aligned with human values. It explains the potential risks of advanced AI and proposes a new foundation for AI development. is highly relevant to contemporary discussions on AI safety and ethics and is accessible to a broad audience.
Full-lifecycle AI coding workflows with GitHub Copilot span architectural planning, SQL query generation, automated test suites, and CI/CD scripting. Tom Taulli balances productivity gains with candid coverage of licensing risks, security scanning, and human code review.
Explores the potential impacts of AI on the future of humanity, covering a wide range of societal, philosophical, and ethical implications. It is written for a general audience and provides a broad overview of the opportunities and challenges presented by advanced AI. It's a must-read for anyone interested in the broader context and future directions of AI, offering valuable perspective beyond the technical aspects.
Often referred to as the 'bible' of algorithms, this book comprehensive resource for deepening understanding of fundamental algorithms and data structures. It is widely used as a textbook in undergraduate and graduate computer science programs. While rigorous, it covers a broad range of algorithms in depth, making it a crucial reference for students and professionals alike.
Foundation model architecture, context window management, retrieval-augmented generation, and evaluation pipelines explain how coding assistants like GitHub Copilot operate under the hood. Chip Huyen equips engineers to build and audit production AI developer tooling.
Co-authored by a co-founder of DeepMind, this recent book explores the transformative impact of AI and other frontier technologies on society and the challenges of controlling them. It discusses the concept of the “containment problem” and the potential implications for the future. provides a contemporary perspective on the challenges and opportunities presented by advanced AI.
Focuses specifically on responsive web design using HTML5 and CSS3, a crucial contemporary topic. It's ideal for those who have a basic understanding of HTML and CSS and want to learn how to build websites that adapt to different devices. It provides practical examples and techniques for modern web development.
Offers a critical examination of the broader societal and environmental impacts of AI. It reveals the hidden costs and power structures behind AI technologies, going beyond the technical aspects to explore its political and environmental dimensions. This is an important read for gaining a comprehensive understanding of AI's real-world consequences and is relevant to discussions on ethical and responsible AI.
A comprehensive guide covering the core technologies of front-end web development: HTML, CSS, and JavaScript, along with web graphics. is well-suited for beginners and serves as a solid introduction to the entire process of creating websites. It includes exercises and quizzes to reinforce learning. While it provides a broad understanding, readers looking to specialize in a particular area might need more focused resources later. The latest editions incorporate modern web standards and practices.
Context structuring, few-shot exemplars, chain-of-thought reasoning, and deterministic output formatting directly improve GitHub Copilot Chat and inline code generation. Phoenix and Taylor provide battle-tested patterns for steering large language models in code-heavy tasks.
Side-by-side benchmarks pitting human problem-solving against GitHub Copilot and ChatGPT reveal exactly where AI coding assistants excel and where subtle bugs hide. David Mertz uses twenty-four tricky regex puzzles to sharpen developer verification and prompt refinement skills.
A comprehensive book on unit testing patterns. It presents a collection of patterns that can be used to improve the design and maintainability of unit tests. The patterns are organized into several categories, such as test organization, test design, and test execution.
A practical guide to unit testing. It covers the basics of unit testing, such as how to write effective tests and how to organize your tests. It also covers more advanced topics, such as how to test legacy code and how to use unit tests to improve code coverage.
Large language model APIs, function calling, and agentic tool execution share the exact capabilities powering GitHub Copilot Workspace and extensions. Caelen and Blete guide developers through building code-aware assistants and automated developer workflows.
Comprehensive guide to Bootstrap that is suitable for both beginners and experienced developers. It covers everything you need to know to get started with Bootstrap, including how to set up a project, use the various components, and customize your theme.
Comprehensive guide to responsive web design. It covers everything from basic concepts to advanced techniques such as media queries and flexbox.
Focuses on the principles of writing readable, maintainable, and well-structured code. It's highly relevant for anyone looking to improve their coding practices, regardless of their experience level. It serves as a valuable reference for writing high-quality code and is often recommended for undergraduate students and working professionals.
Comprehensive guide to CSS Grid Layout. It covers everything from basic concepts to advanced techniques such as auto-placement and named areas.
Comprehensive guide to CSS for experienced web developers. It covers advanced topics such as CSS preprocessors, animations, and debugging.
Following the popular Head First approach, this book uses a visually rich and engaging format to make learning HTML and CSS fun and effective. It focuses on understanding the 'why' behind concepts, which is beneficial for solidifying knowledge. While not the most recent, its teaching methodology makes it a valuable resource for beginners.
Classic in the JavaScript community, and it is still one of the best books on the language. Crockford leading expert on JavaScript, and his book is full of insights and best practices.
A comprehensive book on test-driven development with Go. It covers the basics of test-driven development, such as how to write effective tests and how to organize your tests. It also covers more advanced topics, such as how to test legacy code and how to use test-driven development to improve code coverage.
A project-based introduction to Django, a high-level Python web framework. is ideal for beginners with some Python knowledge who want to learn full-stack web development. It guides readers through building several web applications, covering concepts like authentication, testing, and deployment. It's a practical and up-to-date resource for learning Django.
Employs a unique, interactive approach with short chapters and exercises designed for better retention. It focuses on building a strong understanding of the fundamentals of HTML and CSS. It's particularly useful for those who prefer a hands-on learning style.
Based on the popular online guide, this book provides a structured approach to learning HTML and CSS. Shay Howe's online resources are well-regarded, suggesting this book would offer clear explanations and practical examples for beginners.
Visual mental models of commits, branches, staging areas, and remote pull requests enable developers to checkpoint and review AI-generated diffs with confidence. Anna Skoulikari provides the essential version-control foundation for collaborating on GitHub.
Provides a deeper dive into JavaScript as a programming language. It covers fundamental programming concepts and more advanced topics like asynchronous programming and object-oriented programming. It's highly regarded for its thoroughness and clear explanations, making it suitable for those who want to solidify their understanding of JavaScript beyond the basics. The latest editions are updated to cover modern JavaScript features, making it a relevant reference for contemporary practices.
This classic and highly-regarded book on reinforcement learning, a key area in AI focused on how agents learn to make decisions. It covers fundamental concepts and algorithms in a clear and accessible manner. It is suitable for advanced undergraduate and graduate students and primary reference for researchers in the field. is essential for understanding learning algorithms in AI.
Offers practical advice on a wide range of topics relevant to software development, including writing flexible and maintainable code, continuous learning, and career development. It's a valuable resource for both students and seasoned professionals seeking to improve their overall approach to coding and software development.
Distributed version control internals, interactive rebasing, git bisect debugging, and GitHub pull request workflows remain indispensable when integrating rapid Copilot changes. Chacon and Straub's authoritative reference teaches engineers how to maintain clean commit histories.
Focuses on the challenges and solutions involved in designing and scaling data-intensive systems. It covers a wide range of topics related to databases, distributed systems, and data processing, making it highly relevant for professionals working with large-scale data.
Tactical programming that prioritizes speed over clean abstractions quickly buries teams in complexity—a danger amplified by uncritical use of AI autocomplete. John Ousterhout teaches developers how to design deep modules and clear interfaces before prompting for implementation.
Known for its clear and concise style, Murach's books are often used in educational settings. provides a solid reference and training guide for HTML5 and CSS3, covering essential concepts and responsive design. It's a good resource for both learning and looking up specific topics.
Characterization tests, dependency-breaking seams, and sprout methods allow engineers to wrap untested code in safety harnesses before asking GitHub Copilot to refactor it. Michael Feathers provides the defensive testing playbook every AI-augmented developer needs.
Focuses on the engineering aspects of building AI applications, particularly with the use of foundation models. It provides practical guidance for professionals and engineers on developing and deploying AI systems. It is highly relevant to contemporary AI practices and offers valuable insights into the practical challenges of bringing AI to life.
Offers a comprehensive introduction to pattern recognition and machine learning from a Bayesian perspective. It foundational text for those seeking a deeper theoretical understanding of the subject. While more mathematically rigorous, it valuable resource for advanced undergraduate students, graduate students, and researchers. It provides essential background for many AI techniques.
A quick and accessible guide for beginners to grasp the core concepts of HTML and CSS. It provides a simplified approach to building a coding foundation and understanding responsive design. is good for a rapid introduction to the subject.
A fast-paced, project-based introduction to Python programming. is ideal for beginners who want to learn to code by building practical projects. It covers fundamental programming concepts and introduces various Python libraries, making it suitable for high school and undergraduate students, as well as those new to programming.
For back-end developers using Node.js, this book explores common design patterns and best practices for building scalable and maintainable server-side applications. It delves into asynchronous programming, module patterns, and architectural considerations specific to Node.js. It's a valuable resource for developers looking to deepen their understanding of Node.js development and build robust back-end systems.
Known as the 'Dragon Book', this classic text on compiler design. It delves into the principles and techniques used to construct compilers, providing a deep understanding of how programming languages are processed. It core textbook for advanced undergraduate and graduate courses in computer science.

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