Complete Guide to GitHub Copilot for Developers (Video)

Elevate your coding skills and boost productivity with AI

Overview:

• Get focused training on integrating Copilot with widely used development tools such as VS Code and GitHub Codespaces.
• Learn hands-on with practical application through coding exercises, real-world examples, and a capstone project.
• Explore the use of Copilot in various development domains, including web development, data analysis, and DevOps.

GitHub Copilot is like having a genius coding companion by your side, always ready to lend a helping hand. It's as if you've hired a team of expert programmers to collaborate with you in real-time, offering intelligent suggestions and generating code snippets based on your project's context. This AI-powered tool is like a GPS for your coding journey, guiding you towards efficient and effective solutions. The importance of GitHub Copilot lies in its ability to streamline the coding process and boost developer productivity. Imagine having a tool that can autocomplete complex code, generate entire functions based on simple comments, and even assist in debugging and refactoring. Copilot is transforming the way developers work, allowing them to focus on high-level problem-solving while the AI takes care of the tedious and repetitive tasks.

Complete Guide to GitHub Copilot for Developers, led by experienced Microsoft MVP and Certified Trainer Tim Warner, provides a comprehensive deep dive into the revolutionary world of AI-assisted coding with GitHub Copilot. This course is designed for developers of all levels who want to optimize their coding workflow and leverage the cutting-edge capabilities of Copilot. GitHub Copilot's significance lies in its ability to understand context and generate code suggestions, making it an indispensable tool for modern developers.

Skill Level:

• Beginner to intermediate

Learn How To:

• Integrate Copilot into Your Development Workflow
• Leverage AI-Assisted Code Completion
• Generate Code from Natural Language
• Refactor and Debug with Copilot
• Apply Copilot to Specific Development Domains
• Customize Copilot's Behavior
• Collaborate Effectively with Copilot

Course Requirements:

• Familiarity with at least one programming language (e.g., Python, JavaScript, Java)
• Basic understanding of software development concepts and tools
• Experience with code editors or IDEs

Who Should Take This Course:

• The primary audience for this course is developers across all skill levels who are interested in leveraging AI-assisted coding to enhance their productivity and code quality.

About Pearson Video Training:   

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.  Learn more about Pearson Video training at  http://www.informit.com/video.

Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Table of Contents

Introduction

Lesson 1: Learning GitHub Copilot Essentials

1.1  Learn what GitHub Copilot is

1.2 Understand how AI assists in coding

1.3 Grasp the principles of Responsible AI

1.4 Set up GitHub Copilot in your code editor

1.5 Discover GitHub Copilot for non-coders

1.6 Explore GitHub Copilot and accessibility

1.7 Hands-on lab: Configure Copilot in your development environment

Lesson 2: Mastering Code Completion with GitHub Copilot

2.1 Learn intelligent code completion with GitHub Copilot's Completion Extension

2.2 Customize completion settings

2.3 Apply best practices for code completion

2.4 Understand GitHub Copilots limitations

2.5 Troubleshoot common issues

2.6 Hands-on lab: Complete complex code snippets in GitHub Codespaces

Lesson 3: Generating Code with GitHub Copilot

3.1 Generate code from comments

3.2 Create function stubs

3.3 Generate test cases

3.4 Emphasize secure coding principles

3.5 Hands-on lab: Generate a basic application in Visual Studio Code

Lesson 4: Refactoring and Debugging with GitHub Copilot

4.1 Integrate with version control systems

4.2 Refactor code using GitHub Copilot suggestions

4.3 Optimize performance

4.4 Debug code with GitHub Copilot assistance

4.5 Integrate GitHub Copilot with your IDE's debugging tools

4.6 Troubleshoot using the GitHub Copilot log streams

4.7 Hands-on lab: Refactor and debug a sample project

Lesson 5: Learning GitHub Copilot for Web Development

5.1 Generate HTML, CSS, and JavaScript with GitHub Copilot

5.2 Design CSS with GitHub Copilot

5.3 Build web components and templates

5.4 Use Copilot with frontend frameworks (e.g., React, Angular)

5.5 Create accessible web content

5.6 Develop accessibility-focused web content

5.7 Hands-on lab: Build a web application with GitHub Copilot

Lesson 6: Using GitHub Copilot for Data Analysis and Visualization

6.1 Generate code for data manipulation

6.2 Clean and preprocess data with GitHub Copilot

6.3 Create data visualizations with GitHub Copilot

6.4 Include data privacy and compliance in your development

6.5 Apply Copilot with popular data-analysis libraries

6.6 Tell data stories with GitHub Copilot

6.7 Hands-on lab: Analyze and visualize data using GitHub Copilot

Lesson 7: Using GitHub Copilot in DevOps and Automation

7.1 Implement CI/CD processes with GitHub Copilot

7.2 Generate configuration files

7.3 Automate repetitive tasks with GitHub Copilot

7.4 Manage cloud infrastructure with GitHub Copilot

7.5 Apply Infrastructure as Code principles with GitHub Copilot

7.6 Hands-on lab: Automate a DevOps workflow with GitHub Copilot

Lesson 8: Leveraging Prompt Engineering Techniques

8.1 Understand the importance of generative AI prompting

8.2 Apply ethical prompting techniques

8.3 Optimize your prompts for better responses

8.4 Handle errors in prompts

8.5 Sharpen your prompts for improved outcomes

8.6 Use prompt libraries and templates

8.7 Train GitHub Copilot to understand your work style

8.8 Hands-on lab: Use GitHub Copilots chat extension for unit test generation

Lesson 9: Integrating GitHub Copilot in GitHub Enterprise Cloud

9.1 Use GitHub Copilot in pull requests for code review

9.2 Collaborate on code with GitHub Copilot

9.3 Leverage GitHub Copilot in GitHub Codespaces

9.4 Work collaboratively in GitHub repositories with GitHub Copilot

9.5 Hands-on lab: Integrate GitHub Copilot into GitHub workflows

Lesson 10: Learning GitHub Copilot in the CLI

10.1 Set up GitHub Copilot in the CLI

10.2 Improve efficiency with GitHub Copilot in the CLI

10.3 Generate shell scripts with GitHub Copilot

10.4 Perform system administration tasks with GitHub Copilot

10.5 Debug errors in Copilot within the CLI

10.6 Follow security best practices for Copilot in CLI commands

10.7 Configure GitHub Copilot with CLI aliases

10.8 Hands-on lab: Build powerful Git commands with GitHub Copilot in the CLI

Lesson 11: Introducing the Capstone Project

11.1 Introduce the Capstone project

11.2 Foster team collaboration with GitHub Copilot

11.3 Design a full-stack application

11.4 Implement the application using GitHub Copilot

11.5 Deploy and present the GitHub Copilot-powered application

11.6 Hands-on lab: Build a comprehensive application with GitHub Copilot

Lesson 12: Conclusion and Next Steps

12.1 Recap key lessons

12.2 Compare GitHub Copilot with other vendors solutions

12.3 Explore GitHub Copilot community resources

12.4 Investigate AI development trends

12.5 Explore the future of AI-assisted development

12.6 Stay updated on GitHub Copilot's latest features

Summary

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