Docker Masterclass for Machine Learning and Data Science

Name: Docker Masterclass for Machine Learning and Data Science
Rating: 4.0 (687 reviews)

Learn how to containerize and deploy your ML projects with Docker

(687 ratings)

33,381 students

Created by Jordan Sauchuk, Ligency I Team, Ligency Team

Last updated 1/2022

English

English [Auto]

What you'll learn

Use Docker in order to build containers to deploy applications.
Learn the intuition behind Docker and understand how it works.
Learn the ins and outs of working with Docker
Understand how to create and deploy Docker containers from scratch.
You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career.

Requirements

The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt.

Description

Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define.

Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation.

You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps:

A Comprehensive Introduction to Docker
Getting the Docker basics down
Using Dockerhub
Docker Challenges

Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos!

Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro!

So, are you ready to dockerize your ML projects? Enroll now!

See you in the classroom.

Who this course is for:

Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow.

Jordan Sauchuk

Senior AI Advisor & Cybersecurity Engineer

4.4 Instructor Rating
22,992 Reviews
246,031 Students
7 Courses

I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee.

I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more.

Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services.

For more information please feel free to reach out to me on LinkedIn and Twitter.

Ligency I Team

Helping Data Scientists Succeed

4.6 Instructor Rating
595,196 Reviews
2,156,021 Students
151 Courses

Hi there,

We are the Ligency team. You will be hearing from us when new Ligency courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

Ligency Team!

Ligency Team