Docker Masterclass for Machine Learning and Data Science

Language: English

Instructors: Jordan Sauchuk

$150 92% OFF

$12

Learn how to containerize and deploy your ML projects with Docker

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Course Details

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.

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.

Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.
  • Soon Android & iOS app will be available.

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