Jupyter Notebook Server with AWS EC2 and AWS VPC

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    2019-04-17
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Justin Mitchel
Next Course
4.7
20,658 Ratings
This course provides a great opportunity for new learners to learn how to use Jupyter Notebook Server with AWS EC2 and AWS VPC. It will guide learners through the process of preparing a AWS Virtual Private Cloud, Subnets, Internet Gateways, Route Tables, and more. After configuring the EC2 instance, learners will be taught how to configure nginx, supervisor, and Jupyter so that it can be run automatically on a public IP address. This course is perfect for those who want to learn how to use Jupyter Notebook Server with AWS EC2 and AWS VPC. Sign up now and start learning!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course offers new learners the chance to gain knowledge on how to use Jupyter Notebook Server with AWS EC2 and AWS VPC. Participants will be taken through the steps of setting up a AWS Virtual Private Cloud, Subnets, Internet Gateways, Route Tables, and more to successfully and securely provision AWS EC2 instances. After the EC2 instance is configured, learners will be instructed on how to configure nginx, supervisor, and Jupyter so that it can be run on a public IP address automatically.

Course Syllabus

Introduction

AWS VPC

AWS EC2 & Jupyter Configuration

Final Steps

Show All
Recommended Courses
free jupyter-x-docker-9848
Jupyter x Docker
4.8
Udemy 10,496 learners
Learn More
This course is perfect for new learners who want to learn how to create a Python Jupyter Notebook Server with Docker and Heroku. It provides step-by-step instructions on how to deploy an interactive notebook, allowing projects to be more literal and easier for non-technicals to run code. It also covers the use of Docker to give control over the application's OS environment, and how to deploy the project to Heroku. Additionally, it explains the caveat that Jupyter notebooks will disappear as soon as a new version is deployed, due to the ephemeral nature of containers. With this course, you will be able to create a Python Jupyter Notebook Server with Docker and Heroku, and gain control over the application's OS environment. Click now to start your journey!
free jupyter-notebook-overview-for-all-python-developers-9849
Jupyter Notebook overview for all Python developers
4.6
Udemy 2,737 learners
Learn More
This course is perfect for all Python developers who want to learn more about Jupyter Notebook. It covers the basics of Anaconda and Jupyter Notebook, as well as more advanced topics such as Menu tabs, Cell types, Modes, Shortcuts, and Magic Commands. Learners will also learn how to publish their Jupyter Notebook files on a website or blog and how to share them with other team members. Whether you are a beginner or an experienced developer, this course will provide you with a comprehensive overview of Jupyter Notebook. Don't miss out on this great opportunity to expand your knowledge!
jupyter-notebook-for-data-science-9850
Jupyter Notebook for Data Science
4.6
Udemy 1,967 learners
Learn More
This course is perfect for those looking to become familiar with Jupyter Notebook and its features to perform data science tasks in Python. Led by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev, learners will start from basic data analysis tasks and work their way up to learn common scientific Python tools. Through the course, learners will work with real datasets, such as crime and traffic accidents in New York City, to explore data scraping and cleaning. By the end, learners will be able to create insightful visualizations and interactive reports to extract useful information from datasets. Don't miss out on this opportunity to learn the fundamentals of data science with Jupyter Notebook!
jupyter-notebook-for-beginners-9851
Jupyter Notebook for Beginners
4.6
Udemy 1,258 learners
Learn More
This course is perfect for absolute beginners who want to learn about Jupyter Notebook, a powerful tool used by machine learning engineers, data scientists, mathematicians, and Python and R developers. Learners will gain an understanding of the advantages of using Jupyter Notebook, such as its ability to support more than 40 programming languages, its similarity to a physical notebook, and its ability to share and distribute notebooks. Additionally, learners will gain the skills necessary to use Jupyter Notebook in their own projects. With this course, you will be able to take advantage of the powerful features of Jupyter Notebook and use it to create amazing projects.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet