Jupyter Notebook Server with AWS EC2 and AWS VPC

🚀 Master Jupyter Notebooks in the Cloud with AWS EC2 & VPC! країна, де можливо працювати з Jupyter Notebooks цілий шар абстракції вище, але коли ви переходите до вивчення в хмарі, ваше розуміння і можливості розширяються на невизначені межі! 🌩️

Course Title: Build a Cloud Server to run your Jupyter Notebook

Course Description:

Dive into the world of cloud computing and discover how to leverage AWS (Amazon Web Services) to set up a robust server environment specifically tailored for hosting your Jupyter Notebooks. With this course, you'll learn the ins and outs of Amazon EC2 (Elastic Compute Cloud) and AWS VPC (Virtual Private Cloud), ensuring that your notebooks are not only powerful but also secure and scalable.

Why Jupyter Notebooks? 📚✨

Jupyter Notebooks offer an interactive way to create and share documents that contain live code, equations, visualizations, and narrative text. Here's what makes them stand out:

• Shareability: Like a book, you can pass a notebook around, and others can run the code you've written (or vice versa).
• State Retention: The notebook remembers where you left off, keeping all your previous calculations and outputs.
• Storytelling: Present complex analytical processes in a clear, step-by-step format, making it easy for anyone to follow along.

Why AWS? 🏙️☁️

AWS provides a highly reliable, scalable, and low-cost infrastructure platform in the cloud. In this course, you'll:

1. Set Up Your AWS Environment: Configure your VPC, subnets, internet gateways, route tables, security groups, and NAT instances to ensure a secure networking environment for your EC2 instances.
2. Provision AWS EC2 Instances: Learn how to launch virtual servers in the cloud, manage them, and monitor their performance.
3. Configure Your Server: Install nginx as a reverse proxy server to handle requests efficiently; set up supervisor to manage your Jupyter application and keep it running after you disconnect.
4. Run Jupyter Notebooks on AWS EC2: Configure Jupyter with the necessary extensions, kernels, and permissions so that you can access it from anywhere over the internet.

Course Highlights:

• Step-by-Step Instructions: From setting up your AWS account to running your first notebook on a cloud server, you'll follow clear, concise instructions at every step.
• Real-World Application: Not just theory, but practical knowledge that can be immediately applied to real-world problems.
• Expert Guidance: Learn from industry expert Justin Mitchel, who brings years of experience in data science and cloud computing to the course.

Who Should Take This Course?

• Data scientists, researchers, and hobbyists who want to take their Jupyter Notebooks to the next level with cloud integration.
• Developers and DevOps professionals looking to expand their skill set into cloud environments.
• Anyone interested in learning how to leverage the power of AWS for running powerful computing applications.

Join us on this journey to harness the full potential of Jupyter Notebooks in the cloud with AWS EC2 and VPC! 🚀💻

What You'll Learn:

• AWS Basics: Understand the core components of AWS and how they fit together.
• VPC Configuration: Learn to set up and manage your own secure network within AWS.
• EC2 Instances: Get hands-on experience with launching, configuring, and managing virtual servers.
• Secure Server Setup: Ensure your Jupyter server is secure against unauthorized access.
• Jupyter Configuration: Configure Jupyter to run on a public IP address and manage its extensions and kernels.
• Automation: Set up nginx and supervisor for seamless, automatic operation of your Jupyter Notebooks.

Get Ready to Lift Your Coding Game to the Clouds! ☁️🎮 Enroll now and transform the way you work with data and code. With this course, you'll be creating and sharing your Jupyter Notebooks from anywhere in the world, with the power of AWS behind you. Let's make it happen! 🌟