GitHub Copilot is an open-source application that simplifies teamwork using GitHub. It is an AI-based coding assistant that helps developers write code faster. It's available through personal GitHub accounts with GitHub Copilot Individual or through organization accounts with GitHub Copilot Business. GitHub Copilot started a new era of software development as an AI pair programmer that allows developers to keep up with work when auto-completing comments and code. However, autocomplete with artificial intelligence was only the starting point. GitHub Copilot X is the vision of the future of AI-powered software development that adopts OpenAI's latest GPT-4 models. GitHub Copilot C# extends beyond the editor and becomes an easily accessible AI assistant throughout the development lifecycle. Course Description This course is taught online and consists of 6 units. The duration of the course is 60 hours which is spread between content and collaboration tools. Upon completion, the student will receive a diploma. The training is carried out through a Virtual Campus, with this modality you will have all the didactic content on the course platform, and it will be accessible, from the day of the start of the course, 24 hours a day, every day of the week. The student will also have participation forums, as well as continuous tutoring. Course Objectives In this course, you will learn how to implement copilots, specifically: Create co-pilots Test co-pilots Analyze performance Audience The course is aimed at software developers, software engineers, programmers, and other technology professionals looking to improve their productivity and efficiency at work. Course Content Unit 1: GitHub Fundamentals and Your Relationship with Copilot Command Line Work Work with repositories on GitHub Desktop Managing repositories in GitHub.com Using GitHub pages Collaboration with repositories and DevOps GitHub Issues: Creating a Docker Container Action, JavaScript, for Compound Execution Steps and Publishing Actions GitHub Packages and Codespaces GitHub Insights Internships are carried out with the CodeSpace and access to projects. Unit 2: GitHub Copilot Fundamentals Introduction to Technology Setting up GitHub Copilot and GitHub Codespaces Develop with natural language with GitHub Copilot and VS Code Applications engineering and best practices. The GitHub Copilot user request process flow Large language models with GitHub Copilot What is GitHub Copilot for Enterprise? GitHub Copilot use cases Practice: Example of development with code hints Unit 3: Using GitHub Copilot with C# Setting up GitHub Copilot to work with Visual Studio Code and Visual Studio 2022 Using GitHub Copilot with C# Customizing a Portfolio with C# Animating icons with an instruction. Setting up GitHub Copilot to work with VS Code and Visual Studio 2022 How to use C# with GitHub Copilot Unit 4: Translating code from other languages using GitHub Copilot Analysis and selection of the code to be translated Using GitHub Copilot Labs Target Language Selection Analysis and monitoring of what has been translated Unit 5: Building the Auto-Suggest Engine with GitHub Copilot Project preparation Understand your code better with GitHub Copilot Add code comments with Copilot and Copilot Chat Add code documentation with Copilot Chat Autocomplete your code with GitHub Copilot Job Checking Request management with GitHub Copilot for code generation Debugging code with Copilot Chat Code optimization Code testing with Copilot Unit 6: Build an app with GitHub Copilot and C# Preparing the Environment Copilot extension integration Creating application logic. Repository access and code analysis Check Jobs Unit 7: GitHub Copilot Improve code quality Security with GitHub Copilot GitHub Mobile using GitHub with voice Using Copilot for pull requests GitHub Copilot for Docs Internship Previous Requirements Participants should have basic programming knowledge, experience using software development tools, and familiarity with teamwork and project management methodologies, as well as use of GitHub at the fundamentals level. Course is available in English. Student Access: 8 Weeks
