Github Copilot For Developers 2025

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Github Copilot For Developers 2025
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.78 GB | Duration: 3h 12m​


Boost your coding efficiency with GitHub Copilot and AI, integrating it seamlessly into VS Code, Visual Studio, and more
What you'll learn
Understand what GitHub Copilot is and how it enhances development workflows.
Learn how to set up and access GitHub Copilot efficiently.
Utilize GitHub Copilot in Visual Studio, VS Code, and Command Line.
Debug and troubleshoot code effectively with Copilot's AI assistance.
Integrate Copilot for SQL, Shell Scripting, HTML, JavaScript, and Azure Pipelines
Requirements
Basic understanding of programming (e.g., Python, JavaScript, C#, or SQL).
Familiarity with Git and GitHub is helpful but not required.
A GitHub account with access to GitHub Copilot.
Installed Visual Studio, VS Code, or a compatible editor.
Description
GitHub Copilot is an AI-powered coding assistant that transforms the development process by providing real-time code suggestions, allowing developers to write code more quickly and efficiently. GitHub Copilot, seamlessly integrated into popular code editors such as Visual Studio Code, uses vast amounts of open-source code to provide context-aware completions for everything from simple snippets to complex algorithms. It supports several programming languages, including Python, JavaScript, TypeScript, Ruby, and Go, making it an adaptable tool for various developers.GitHub Copilot Fundamentals Course Objectives: The "GitHub Copilot For Developers" course aims to provide students with a thorough understanding of how to use GitHub Copilot to improve their coding workflow effectively. By the end of the course, students will be able to use GitHub Copilot's AI-driven code suggestions to write code more accurately and efficiently by integrating it with their development environment. The course will cover Copilot's key features, such as contextual code completions, error handling, and pattern recognition, which will allow students to automate repetitive tasks, reduce debugging time, and improve overall code quality. Furthermore, students will gain practical insights into using Copilot for various programming languages and scenarios, allowing them to become proficient in using this powerful tool to accelerate their development process and improve their coding skills.GitHub Copilot For Developers Exam Objectives: The "GitHub Copilot For Developers" exam is intended to evaluate a learner's ability to effectively use GitHub Copilot to improve their software development process. The exam aims to assess the candidate's understanding of GitHub Copilot's key features, such as contextual code suggestions, pattern recognition, and error handling. It will assess the learner's ability to integrate Copilot into popular development environments, use it in multiple programming languages, and optimize workflows by automating repetitive tasks. The exam will also assess the candidate's ability to use Copilot to generate code snippets, functions, and debugging, ensuring that they can use this AI-powered tool to write cleaner, more efficient code. Overall, the exam is designed to validate that students have the skills needed to effectively use GitHub Copilot to accelerate their development process and improve code quality in real-world scenarios.
Overview
Section 1: Introduction
Lecture 1 Introduction to AI Pair Programmer
Lecture 2 What is GitHub Copilot
Lecture 3 Geeting access to Copilot
Lecture 4 Using GitHub Copilot in Visual Studio and C#
Lecture 5 Debugging with GitHub Copilot
Lecture 6 Using GitHub Copilot in Command Line
Lecture 7 Using GitHub Copilot in Visual Studio code
Lecture 8 Leveraging SQL Shell Scripting HTML Javascript and Azure Pipeline
Developers looking to automate coding tasks using AI-powered tools.,Programmers who want to boost productivity with GitHub Copilot.,Engineers interested in integrating Copilot with VS Code, Command Line, and Azure Pipelines.,Anyone eager to explore AI-assisted coding to write better and faster code
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