Become an AI-Powered Engineer: ChatGPT, Github Copilot

Take the comprehensive course on ChatGPT, GitHub Copilot, and Copilot Labs to learn how to write code 2x faster.

What You will Learn

  • Overview of AI tools for developers and their impact on software development
  • Introduction to ChatGPT, a language model developed by OpenAI for code completion and generation
  • Integration of ChatGPT with popular IDEs and text editors
  • Hands-on exercises and projects to practice using ChatGPT to generate code snippets and complete code blocks
  • Introduction to GitHub Copilot, an AI-powered code assistant that suggests code as developers type
  • Setup and configuration of GitHub Copilot with popular programming languages
  • Practical applications of GitHub Copilot in software development
  • Introduction to Copilot Labs, an open-source initiative that creates powerful AI tools for developers
  • Contributions to Copilot Labs and use of the tools developed by the community
  • Hands-on exercises and projects to practice using AI tools to streamline the development workflow
  • Understanding of how AI works and its impact on software development
  • Knowledge and skills to increase productivity, build innovative applications, and further career in software development

Description


In today’s world, Artificial Intelligence (AI) is revolutionizing the way we work and live. One area where AI has made a significant impact is in software development, where it has enabled developers to create innovative applications and systems faster than ever before.



This comprehensive course, “Become an AI-Powered Engineer: ChatGPT, Github Copilot, and Copilot Labs” is designed to help developers learn how to leverage AI tools to streamline their development process. The course covers three popular AI tools: ChatGPT, GitHub Copilot, and Copilot Labs.



First, students will learn how to use ChatGPT, a language model developed by OpenAI, to generate high-quality code snippets and complete code blocks. They will learn how to integrate ChatGPT with their favorite IDEs and text editors, such as VS Code and Sublime Text.



Next, the course covers GitHub Copilot, an AI-powered code assistant that uses machine learning to suggest code as developers type. Students will learn how to set up and use GitHub Copilot with popular programming languages such as Python, JavaScript, and C#.



Finally, the course covers Copilot Labs, an open-source initiative that aims to create powerful AI tools for developers. Students will learn how to contribute to Copilot Labs and use the tools developed by the community.



Throughout the course, students will work on real-world projects and learn how to integrate AI tools into their development workflow. They will gain an understanding of how it can be used to improve software development.



By the end of the course, students will have the skills and knowledge needed to use ChatGPT, GitHub Copilot, and Copilot Labs to streamline their development process, increase productivity, and build innovative applications faster than ever before.

Who this course is for:
Developers who want to learn about the latest AI-powered tools for code completion, debugging, and more
Software engineers looking to improve their productivity and efficiency with advanced development tools
Anyone interested in exploring the intersection of AI and software development

Requirements

  • Students will need a computer/laptop to do the practical implementation.
  • Basic programming knowledge is required.


Course Content

  • 8 sections • 14 lectures • 1h 59m total length
  • Become an AI-Powered Engineer
  • Github Copilot Intro and a small demo
  • Trading Bot with python
  • A guide to GitHub Copilot Labs.
  • Introduction to Chat GPT and how it’s helpful to developers
  • How to develop NodeJS apis from scratch using ChatGPT suggestions
  • Google Bard Introduction
  • Enhance ReactJS application in real-time code using Github Copilot and Bard
  • Realtime NodeJS API using GitHub copilot and google bard
  • Understanding Retrieval Augmented Generative?
  • What is Vector Embedding? Understanding with example.
  • Introduction to Fine tuning and how to Fine Tune an LLM Model using HuggingFace.
  • Introduction and deepdive into Langchain.
  • LangChain, SQL Agents & OpenAI LLMs: Query Database Using Natural Language.
  • Take Quiz



Latest Free Coupons

Leave a Reply

Your email address will not be published. Required fields are marked *

Check Today's 30+ Free Courses

X