Automation Tools for Programmers with GitHub Copilot

Master AI-Powered Coding Tools to Boost Productivity and Accelerate Development.

Created byEduonix Learning Solutions

Last updated 9/2024

English

English [Auto],

What you'll learn

Integrating GitHub Copilot with Visual Studio Code
Prompt Engineering
Programming with AI Support
Boosting Coding Efficiency
AI-Powered Development

Course content

9 sections • 20 lectures • 2h 36m total length

Introduction9:45
Explore AI programming tools for developers, including VS Code extensions and GitHub Copilot. Discover OpenAI, Tabnine, Solidity, Python, JavaScript, TypeScript, and notebook environments like Jupyter and Colab.

Generative AI, Prompt Engineering and ChatGPT9:45
Explore the landscape of AI programming tools for developers, including Visual Studio Code with GitHub Copilot, OpenAI ChatGPT, Jupyter notebook, Google Colab, plus Python, Solidity, JavaScript and TypeScript.
Use ChatGPT to Generate Images2:36
How to Use ChatGPT to Generate React Code7:40
Harness ChatGPT to generate React code for a simple to-do list project, and learn to set up Node.js, npm, and create React app for a functional development workflow.
How to Build a React To Do-List App12:17
Build a React to-do list app using npm start and react-scripts, wiring todo and list components, updating app.js and css, and enabling add, toggle, and delete features.

3.2 Introduction to GitHub Copilot6:57
Explore how GitHub Copilot acts as an AI assistant that uses large language models to generate code templates and advice within your IDEs like VS Code, JetBrains, or Visual Studio.
Install GitHub Copilot Extension in VS Code8:46
Install the GitHub Copilot extension in VS Code, compare with Visual Studio, and learn how AI-powered suggestions and interactive chat boost cross-platform coding productivity.

Understand a Python Dash Plotly App9:33
Explore building a Python dash plotly app with GitHub Copilot in VS Code, delivering interactive charts as data-driven web apps, and set up a clean virtual environment.
Build the Dash Plotly App9:26
Create and activate a virtual environment, install dependencies with pip, write app.py for a dash plotly layout and graph, and run the server in debug mode.
Explain Dash Plotly App Code3:18
Explain how to use Copilot’s x explain to generate line-by-line or whole-file summaries of a Dash Plotly app, using cursor position and code context.
Section Summary3:24
Explore how GitHub Copilot explains code by selecting line ranges in your editor, revealing details from a single line to App.py.

Download csv and Write into Pandas Dataframe16:44
Show how to download csv files and load them into a pandas data frame in a python notebook using jupyter and vscode, with github copilot guiding imports and iris data.
Understand the Dataframe4:43
Explore your dataset by using pandas describe to summarize a dataframe's shape, mean, std, and percentiles, and check for missing values and duplicates with Copilot-guided commands.
Conduct Data Visualization4:55
Learn to create quick visualizations with Matplotlib and Seaborn, using a pair plot to explore iris features and species differences by hue.

Use Tabnine to Explain and Document the Code9:01
Learn to use Tabnine to explain and document code inside VS Code, generating docstrings, improving readability, and exploring code with AI-powered suggestions.
Introduction to Sourcegraph2:59
Explore Sourcegraph and its Cody AI for real-time code hints, code search, and quality insights. Learn to install the VS Code extension and sign in with Microsoft or Google accounts.
Use Sourcegraph Cody to Find Code Smells and Generate Unit Tests11:39
Learn how Sourcegraph Cody finds code smells, suggests modularization, constants, data validations, and f-strings, and how to generate unit tests for app layouts and components.

Requirements

Basic Understanding of Programming
Basic working knowledge of VS Code as a coding environment and GitHub for version control.
Curiosity about AI and Automation

Description

In today's fast-paced tech landscape, automation and AI have become indispensable tools for developers.

This course, Automation Tools for Programmers with GitHub Copilot, is designed to equip you with cutting-edge skills to harness the power of AI for faster, smarter programming.

You'll dive into how GitHub Copilot, an AI-powered code assistant, can help you write and understand code more efficiently by offering real-time suggestions, explanations, and even entire blocks of code.

Whether you're working with Python, JavaScript, or Solidity for blockchain projects, this course will show you how to integrate Copilot with Visual Studio Code to accelerate your development workflow.

Beyond basic coding tasks, you'll learn prompt engineering techniques to get the most out of GitHub Copilot and AI tools, enabling you to automate repetitive tasks, improve your code quality, and scale your productivity.

Whether you're a new developer aiming to boost your learning speed or an experienced professional seeking to streamline your workflow, this course will provide the skills and insights you need to stay ahead.

By the end of this course, you'll not only have hands-on experience with AI tools but also understand how to apply them to real-world coding projects across different programming languages.

Start coding smarter, not harder, and unlock your full potential as a developer!

Who this course is for:

Beginners looking to enhance their coding skills with AI-powered tools like GitHub Copilot.
Programmers who want to streamline their development process and improve code quality.
Experienced coders aiming to leverage automation and AI to boost productivity and manage large codebases more efficiently.
Professionals working with code who want to integrate AI-driven solutions into their workflows.

Automation Tools for Programmers with GitHub Copilot

What you'll learn

Explore related topics

Course content

Section introduction1 lecture • 10min

Introduction to Generative AI, Prompt Engineering and ChatGPT4 lectures • 32min

What is Copilot and GitHub Copilot?2 lectures • 16min

Lightning a Solidity Blockchain Project with VS Code GitHub Copilot1 lecture • 11min

Using GitHub Copilot to work with a Python Project4 lectures • 26min

Use GitHub Copilot to work with Python Data Science3 lectures • 26min

Using GitHub Copilot to work with a JavaScript Project1 lecture • 9min

08-Other AI Code Assistant Tools3 lectures • 24min

Capstone project1 lecture • 2min

Requirements

Description

Who this course is for: