4.50 (253 reviews)
☑ 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.
Every data scientist is aware that, sometime 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.
Your Docker path will cover the following steps:
A Comprehensive Introduction to Docker
Getting the Docker basics down
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!
So, are you ready to become an excellent data scientist? Enroll now!
See you in the classroom.
What is Docker?
What is a Container?
Useful Docker Info
Installing Docker for Linux
How Docker Is Useful For Data Science
Working With Docker - Basics
Set Up A Simple Flask App
Build A Docker Image and Container
What Ports To Use?
Common Docker Commands
Docker Commands Cheatsheet
Docker Hub Push Image
Docker Hub Pull Image
Recap & Thank You!
I had time looking for a comprehensive course like this one to learn Docker. Examples were useful and explanation clear. Now I had the foundations to start projects with Docker and solve the problems that comes along with it. Thanks Jordan and Super Data Science Team. Excellent course and journey.
I love the teaching style of the teacher. The closed captions aren't corrected sometimes, especially when you're saying docker or an acronym.
The course is excellent, it explains very well all the topics and I love that they use spyder as IDE, recommended
Yes..its really amazing to learn from the very basic steps...Thanks for udemy for giving free courses!
Course is great everything well explained, but for linux users there is no docker dashboard, so should consider that in the video and teach without using dashboard.
As a noobie in docker I wanted a clear and easy explanation how to create a docker image for my projects. The problem solved with this course with the clear explanation of Jordan. Thanks Jordan keep teaching!
Excellent introduction to using Docker and the different concepts it involves. I'm very much looking forward to when the course is finished.
I am a Mathematician and I deploy a Data Scientist role in an automation company, where everyone do a software things and sometimes it's hard to me understand them. I liked this course because your way to tell the story is very friendly, lovely and now Docker it's not scare to me.