Docker Masterclass for Machine Learning and Data Science

Docker Masterclass for Machine Learning and Data Science

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.

Learn how to containerize and deploy your ML projects with Docker

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What you will 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

Rating: 4.4

Level: All Levels

Duration: 4.5 hours

Instructor: Jordan Sauchuk