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Microsoft

This course provides a comprehensive guide to using GitHub Copilot within the Visual Studio Code environment, focusing on practical and advanced applications. The course covers building a simple Pomodoro timer, including setting up the Next.js environment, designing the timer interface, and implementing core functionality, as well as improving the timer by refactoring for efficiency, adding tests, and exploring case studies. The course also focuses on practical coding applications, such as code translation and debugging, through hands-on activities. Throughout the course, you will engage in practical projects, quizzes, and hands-on activities to master the use of GitHub Copilot, making it ideal for developers looking to enhance their coding efficiency and explore the full potential of AI-assisted development.

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What's inside

Syllabus

Code Review With GitHub Copilot
This module introduces the use of GitHub Copilot for enhancing code review processes. You will explore practical methods to optimize and improve code quality using AI-driven insights and suggestions.
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Read about what's good
what should give you pause
and possible dealbreakers
Focuses on practical coding applications like code translation and debugging, offering hands-on activities that are highly relevant for developers seeking to improve their coding skills
Explores using AI to enhance knowledge sharing and project maintenance through automated documentation, which is useful for collaborative development environments
Presented by Microsoft, which is recognized for its developer tools and contributions to the software development community
Requires using GitHub Copilot within the Visual Studio Code environment, so learners will need access to these tools to fully participate

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Reviews summary

Practical github copilot for technical projects

According to learners, this course provides a highly practical guide on how to integrate GitHub Copilot into your daily workflow, particularly praising its application to code review and documentation generation. Students found the explanations clear, the examples relevant, and felt the course could save them time in their work. However, some reviewers noted that the section covering development planning felt somewhat rushed or less detailed than other modules. The course is frequently described as a solid introduction and is considered particularly well-suited for beginners or those new to leveraging Copilot for project management tasks, while more experienced users might find some parts basic.
Suitable as an introduction to the topic.
"Okay course. It covers the basics... Might be better suited for beginners or those completely new to Copilot and its project management applications."
"I was hoping for more advanced techniques... This felt more like an introductory guide. Good for beginners though."
"Good overview... overall a valuable course, especially for junior developers learning to use AI tools."
Strong coverage of key Copilot uses.
"Good overview of using Copilot for code reviews and documentation."
"Learned how to use Copilot effectively for documentation and code reviews. The examples were relevant and easy to follow."
"Decent course... Some parts felt a bit basic, but the documentation section was quite good."
"Helpful for seeing Copilot's potential in areas beyond just coding. The code review part was particularly useful."
Directly applicable to daily workflow.
"It's very practical and shows exactly how to integrate GitHub Copilot into daily project management and development workflows."
"Focus on practical applications like code translation and debugging. This course saved me so much time already."
"Very practical and straight to the point. Learned how to use Copilot effectively for documentation and code reviews."
"Exactly what I needed to understand how to incorporate AI tools like Copilot into my workflow for tasks other than writing code."
Could benefit from more depth.
"The development planning section felt a bit rushed, but overall a valuable course, especially for junior developers."
"Provides a solid introduction... although I agree with another reviewer that planning could be more detailed."
"The planning module was the least detailed, but still provided some good ideas."

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 for Project Management with these activities:
Review JavaScript Fundamentals
Reinforce your understanding of JavaScript fundamentals to better grasp the Next.js environment used in the Pomodoro timer project.
Browse courses on JavaScript
Show steps
  • Review basic syntax and data types.
  • Practice writing functions and control flow statements.
  • Familiarize yourself with DOM manipulation.
Read 'Clean Code: A Handbook of Agile Software Craftsmanship'
Learn best practices for writing clean, maintainable code to improve your refactoring skills and code review processes.
View CLEAN CODE on Amazon
Show steps
  • Read the book and take notes on key principles.
  • Apply the principles to your own code.
  • Discuss the principles with peers.
Practice Code Translation Exercises
Enhance your code translation skills by practicing converting code snippets between different languages using GitHub Copilot.
Browse courses on Debugging
Show steps
  • Find code snippets in one language.
  • Use GitHub Copilot to translate them to another language.
  • Verify the translated code for correctness.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a GitHub Copilot Cheat Sheet
Compile a cheat sheet of useful GitHub Copilot commands and shortcuts to improve your efficiency.
Browse courses on GitHub Copilot
Show steps
  • Identify frequently used commands.
  • Document the commands and their functions.
  • Organize the cheat sheet for easy reference.
Build a Simple Task Management App
Apply your knowledge of GitHub Copilot to build a task management application, reinforcing your understanding of development planning and coding.
Browse courses on Project Management
Show steps
  • Plan the application's features and architecture.
  • Use GitHub Copilot to generate code for the application.
  • Test and debug the application.
Read 'The Pragmatic Programmer'
Gain insights into effective software development practices to enhance your project management and coding skills.
Show steps
  • Read the book and reflect on the advice.
  • Apply the advice to your projects.
  • Discuss the advice with your team.
Create a Presentation on GitHub Copilot Best Practices
Prepare a presentation summarizing best practices for using GitHub Copilot in project management to share your knowledge with others.
Browse courses on GitHub Copilot
Show steps
  • Research best practices for using GitHub Copilot.
  • Create slides with clear and concise information.
  • Practice delivering the presentation.

Career center

Learners who complete GitHub Copilot for Project Management will develop knowledge and skills that may be useful to these careers:
Software Developer
A software developer creates and maintains software applications. This course may be useful to a software developer, as it focuses on using GitHub Copilot to improve coding efficiency and explore AI-assisted development. This includes practical coding applications like translating code and debugging, which are critical parts of the software development lifecycle. A software developer will find the hands-on activities and practical projects focused on using GitHub Copilot to be particularly useful in their daily work. Learning how to use GitHub Copilot for code review, documentation, and development planning may help a software developer streamline their workflow and improve project outcomes.
Application Developer
The job of an application developer involves creating and maintaining specific applications for computers or mobile devices. This course may help an application developer expand their skill set, focusing on practical applications of GitHub Copilot for AI-assisted development. This includes learning to use code translation and debugging tools. This course might help an application developer improve project efficiency by utilizing its features for code reviews and documentation. An application developer who is interested in leveraging artificial intelligence to plan and execute coding projects would benefit from this course.
Web Developer
Web developers design and build websites and web applications. This course can be useful for a web developer as it specifically covers setting up a Next.js environment, which is often used in web development. The practical projects focused on enhancing coding efficiency with GitHub Copilot will be useful to a web developer who intends to improve the speed and quality of their work. The course's focus on using AI for code review and documentation can be particularly beneficial for a web developer trying to manage complex projects. Ultimately, learning how to plan development processes with AI can give the web developer an edge.
Mobile Developer
A mobile developer creates software applications for mobile devices. This course may be useful to a mobile developer due to its intense focus on the practical applications of GitHub Copilot. Specifically, the course teaches code translation, debugging, and overall AI-assisted development. For a mobile developer, learning to use GitHub Copilot for streamlining code reviews and documentation can significantly improve workflow. The course will help a mobile developer learn to manage projects more efficiently by creating development plans with AI.
Frontend Engineer
Frontend engineers build the user interface and experience for websites and applications. This course may be useful for a frontend engineer, as it covers practical applications of GitHub Copilot, including AI-assisted code translation and debugging. A frontend engineer will appreciate the use of GitHub Copilot to enhance coding efficiency. Understanding how to use GitHub Copilot for code review and documentation can streamline a frontend engineer's workflow and lead to better project management. Additionally, learning to plan development with AI can be beneficial for a frontend engineer managing complex projects.
Backend Engineer
Backend engineers build and maintain the server side of websites and applications. This course may be useful to a backend engineer who seeks to utilize GitHub Copilot to enhance coding efficiency and explore AI-assisted development. It encompasses coding activities such as code translation and debugging. A backend engineer can benefit from the course's focus on code review and documentation by using these tools to improve the quality of their work. Learning how to create development plans with AI can be helpful to a backend engineer who wants to manage complex projects more effectively.
Full-Stack Developer
Full stack developers handle both the frontend and backend aspects of software development. This course will be helpful to a full stack developer as it provides a broad understanding of using GitHub Copilot for AI-assisted development that includes areas such as code translation and debugging. A full stack developer will improve their workflow by using GitHub Copilot to streamline code reviews and documentation. As someone who handles multiple aspects of the development process, a full-stack developer may find it particularly useful to use AI to create effective development plans.
Technical Lead
A technical lead guides and manages technical projects and teams. This course can help a technical lead who wants to understand the practical applications of GitHub Copilot, including code translation and debugging, as it is vital to their capacity to advise and guide their team. By reviewing the methods in this course, a technical lead can promote streamlined code reviews and documentation. The material on using AI to create development plans can be beneficial for a technical lead tasked with managing team workflow and ensuring project success. Ultimately, this course might help technical leads be more effective.
Development Operations Engineer
Development operations engineers, also known as DevOps engineers, focus on improving the efficiency between development and operations. This course may be useful for a development operations engineer as it introduces GitHub Copilot, including its practical applications like code translation and debugging. The course focuses on code review and documentation, which are tasks often conducted by development operations engineers. Learning to create development plans using AI can help a DevOps engineer streamline workflows efficiently through technology. A development operations engineer will likely find value in the course’s focus on using technology to improve processes.
Software Architect
A software architect is responsible for designing the high level structure of software systems. This course may be useful to a software architect who wants to familiarize themselves with GitHub Copilot and its practical applications such as code translation and debugging. A software architect may use the information on code review and documentation to improve the overall architecture of projects. A software architect will find the material on development planning particularly useful as it is important to the role. A software architect may benefit from having a knowledge of AI in design.
Solutions Architect
Solutions architects are responsible for designing and implementing technology solutions that meet business needs. This course may be helpful to a solutions architect who needs to understand the practical applications of GitHub Copilot, including code translation and debugging. A solutions architect must understand the entire software development lifecycle, and the course's focus on AI-assisted code review, documentation, and development planning will help better inform architecture design. Solutions architects will also benefit from a knowledge of practical coding activities.
Project Manager
A project manager is responsible for the planning, execution, and closing of specific projects. While not directly coding, This course will help a project manager learn to use GitHub Copilot to assist in AI assisted development. This may help in understanding the workflows of their technical teams. The focus on code reviews, documentation, and development planning with AI can be useful to a project manager who is responsible for meeting deadlines and project goals. A project manager can use the course’s practical applications to improve team communication and overall project management.
Technical Writer
A technical writer creates documentation for software and other technical products. Although they are not developers, this course might be useful to a technical writer who wants to learn how to use GitHub Copilot to generate documentation. The course also covers code review, and development planning assisted by AI may help a technical writer understand the software development lifecycle, allowing them to better document each phase. A technical writer may also find the coding activities valuable for understanding the overall technical context.
Quality Assurance Analyst
Quality assurance analysts are responsible for testing and ensuring the quality of software products. This course may be useful to a quality assurance analyst as it introduces GitHub Copilot and its practical applications such as code translation and debugging. Understanding the AI-assisted development tools can provide a quality assurance analyst with a new lens through which to test. The course covers code review, which is an essential part of the work of a quality assurance analyst. A quality assurance analyst may also find value in the portion of the course covering development planning.
Technology Consultant
Technology consultants provide expertise and advice on technology solutions to clients. This course may be helpful to a technology consultant who wants to understand GitHub Copilot's practical applications, including how it handles code translation and debugging. A technology consultant who understands the benefit of AI-assisted code review, documentation, and development planning will be able to provide more informed advice to their clients on the use of these tools. Any technology consultant can increase their knowledge of the software development process, and the practical hands-on projects are useful in understanding real world concerns.

Reading list

We've selected two 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 for Project Management.
Provides invaluable insights into writing maintainable and readable code, directly applicable to the refactoring and code review modules. It emphasizes principles of clean coding, which are essential for improving code quality and efficiency. This book is commonly used by industry professionals to improve their coding practices. Reading this book will help you write better code and understand the importance of code quality.
Offers practical advice on software development, covering topics such as coding style, testing, and project management. It provides a broad overview of the software development process, which is helpful for understanding the context in which GitHub Copilot is used. This book is more valuable as additional reading than it is as a current reference. It is commonly recommended for developers looking to improve their overall skills.

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