Coursera

GitHub Copilot: The AI Pair Programmer for Coding (Coursera)

Offered by Edureka,

Welcome to the 'GitHub Copilot: The AI Pair Programmer for Coding' course, where you will embark on an insightful journey to develop a profound understanding of the AI principles that power GitHub Copilot's coding assistance. This course is designed to transform your coding practices, leveraging the advanced capabilities of GitHub Copilot.

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Throughout this course, you'll immerse yourself in the fascinating world of AI-driven code generation, mastering the key functionalities and exploring practical applications. By the end of this course, you will be equipped to:

Grasp the core concepts and functionalities of GitHub Copilot
Analyze the key features and capabilities of GitHub Copilot
Apply GitHub Copilot effectively in real-world coding scenarios

This course is tailored for learners from diverse backgrounds, including Data Scientists, Software Developers, Tech Enthusiasts, and Professionals aiming to enhance their skills in Coding. Prior experience in coding is beneficial but not required.
Embark on this transformative journey to master GitHub Copilot and revolutionize your coding efficiency with AI-driven tools. By the end of this course, you will have the skills and knowledge to proficiently apply GitHub Copilot in various coding scenarios, demonstrating a cutting-edge approach to software development.

What you'll learn
In this course, learners will delve deeply into the artificial intelligence technologies that drive GitHub Copilot.

Syllabus

Getting Started with GitHub Copilot
This short course is specifically designed for individuals looking to enhance their coding capabilities using GitHub Copilot, the AI-powered coding assistant. Throughout the course, participants will dive into the dynamic world of AI-assisted programming, exploring the functionalities and applications of GitHub Copilot in various coding scenarios. The curriculum is meticulously crafted to cover key areas, including the basics of GitHub Copilot, its integration with coding environments, practical use-cases in software development, and best practices for effective collaboration with AI.

Go to Class

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