Jupyter Notebook Server with AWS EC2 and AWS VPC

One of the challenges of writing programs is having the ability to pick up where you left off. Jupyter Notebooks do this very well because they allow for interactive running of code, keep results in memory, and empower data scientists and programmers everywhere to build interesting things.

Jupyter is an interactive notebook which allows you to run code right inside the notebook. This is good for many reasons:

1. Notebooks, like actual books, can be shared easily

2. While running a notebook, the “state”, is remembered: run some code and it’ remembers the results of that code

3. Notebooks easily layout the process of a given program into a story-like progression that anyone can pick up and use.

If you’ve never worked with Jupyter Notebooks before, I highly recommend that you do.

This course is about bringing Jupyter Notebooks to the AWS Cloud. We’ll be preparing a AWS Virtual Private Cloud, Subnets, Internet Gateways, Route Tables, and more so that we can provision AWS EC2 instances securely and effectively.

Once we have an EC2 instance, we can configure nginx, supervisor, and Jupyter so we can run it automatically on a public IP address… check out the first video for more on this.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!