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GH-300: GitHub Copilot Fundamentals Course Overview

GH-300: GitHub Copilot Fundamentals Course Overview

### Overview of the GitHub Copilot Course

The GitHub Copilot course offers a comprehensive introduction to leveraging AI for coding efficiency. Participants will learn to effectively integrate GitHub Copilot into their development workflow, enhancing productivity through intelligent code suggestions. Key learning objectives include understanding how to utilize Copilot for various programming languages, refining code quality, and exploring its role in collaborative development.

By the end of this course, learners will be equipped to apply these concepts in real-world projects, improving their coding skills and adopting best practices for modern software development. Whether you're a beginner or an experienced developer, this course is designed to elevate your coding experience.

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1,550

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Course Fee 1,550
Total Fees
1,550 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Includes Official Coursebook
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
  • Includes Official Coursebook
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Course Advisor

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Sachin Chauhan

19+ Years Experience

IT Professional with 16+ Years of rich experience in Microsoft .NET Module.
Worked on various Microsoft products, like Developing Microsoft Azure Solutions, Microsoft AI, Cognitive services, Web
Services, Microsoft ASP.NET Core MVC Web Applications, Programming in C#, HTML5,
CSS3, JavaScript, Angular, reactJs, and SharePoint development on all the versions of SharePoint from 2007 to 2016.

Target Audience for GitHub Copilot

GitHub Copilot is an AI-powered code completion tool that enhances productivity for developers. It's designed for programmers and IT professionals seeking to streamline their coding processes.


  • Software Developers
  • Web Developers
  • Data Scientists
  • Machine Learning Engineers
  • DevOps Engineers
  • IT Project Managers
  • Technical Architects
  • Quality Assurance Engineers
  • Computer Science Students
  • IT Trainers and Educators
  • Freelance Developers
  • Tech Enthusiasts
  • Software Engineers
  • Systems Analysts


Learning Objectives - What you will Learn in this GitHub Copilot?

Introduction

The GitHub Copilot course equips learners with the skills to harness AI-assisted coding, enhancing productivity and code quality while integrating Copilot into their development workflows effectively.

Learning Objectives and Outcomes

  • Understand the fundamentals of GitHub Copilot and its capabilities.
  • Learn how to install and configure GitHub Copilot in various development environments.
  • Explore effective prompt crafting for optimal code suggestions.
  • Utilize GitHub Copilot for code generation in multiple programming languages.
  • Implement best practices for reviewing and refining AI-generated code.
  • Discover how to debug and troubleshoot code with GitHub Copilot assistance.
  • Integrate GitHub Copilot into collaborative coding efforts with teams.
  • Analyze use cases and scenarios where GitHub Copilot adds significant value.
  • Develop strategies to enhance AI tool usage alongside traditional coding techniques.
  • Evaluate the ethical considerations and limitations of AI-assisted development.

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