Udemy

Platform

English

Language

Data Science

Category

Docker Masterclass for Machine Learning and Data Science

Learn how to use Docker!

4.50 (253 reviews)

Docker Masterclass for Machine Learning and Data Science

29852

Students

4 hours

Content

Dec 2020

Last Update
$199.99
Regular Price

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

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.




Description

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

  • 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!


So, are you ready to become an excellent data scientist? Enroll now!


See you in the classroom.




Content

Introduction

DISCLAIMER

What is Docker?

What is a Container?

Useful Docker Info

Installing Docker

Installing Docker for Linux

How Docker Is Useful For Data Science

Installing Anaconda

Why Anaconda?

Virtual Environment

Downloadables

Working With Docker - Basics

Set Up A Simple Flask App

Dockerfile

Requirements.txt

Build A Docker Image and Container

What Ports To Use?

Common Docker Commands

Docker Commands Cheatsheet

Downloadables

Quiz

DockerHub

Sign Up

Docker Hub Push Image

Docker Hub Pull Image

Updating Image

Challenge

Challenge Intro

Challenge Solution

Recap & Thank You!



Reviews

D
David3 January 2021

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.

C
Cecilia1 January 2021

I love the teaching style of the teacher. The closed captions aren't corrected sometimes, especially when you're saying docker or an acronym.

O
Oscar30 December 2020

The course is excellent, it explains very well all the topics and I love that they use spyder as IDE, recommended

H
Harini26 December 2020

Yes..its really amazing to learn from the very basic steps...Thanks for udemy for giving free courses!

K
Kannan19 December 2020

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.

D
Dimitrios30 November 2020

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!

C
Christian29 November 2020

Excellent introduction to using Docker and the different concepts it involves. I'm very much looking forward to when the course is finished.

M
María17 November 2020

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.


Coupons

StatusDateDiscount
Expired12/16/202086% OFF
Expired12/21/2020100% OFF


3599282

Udemy ID

10/28/2020

Course created date

11/4/2020

Course Indexed date
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