Udemy – Docker Masterclass in Machine Learning and Data Science 2023-4 – Download

Explanation

Docker Masterclass in Machine Learning and Data Science Every data scientist knows, at one point or another, they will need to show their progress and results. And there can be no greater fear than not having your algorithm run on another computer for reasons you can’t define. Enter the Docker Masterclass in 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’ll always be ready to deploy your content in any situation. You’ll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker on AWS.

Embedded in each section, you’ll not only find great video tutorials, but also enriching articles and FAQs designed to get you to Docker heaven! In addition, the content is constantly updated, so make sure to always check for new videos! By the time you finish the course, you’ll be sure you can take on any Docker challenge and deploy your projects like a pro!

What will you learn?

Use Docker to build containers to deploy applications.
Learn the logic 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, Docker security, and more to implement Docker as needed throughout your career.

Who is this course for?

Anyone interested in developing their skills and finding a skill that is not only relevant now, but will only continue to grow.

Specificatoin of Docker Masterclass in Machine Learning and Data Science

The essence

Docker Masterclass in Machine Learning and Data Science

Requirements

The requirements for this course are simple. We will use Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will run through the registration process, or related information. We will also use Python, and any related libraries. You can use any IDE you want, but we will use Spyder as an example of course when you need to write our code, and the terminal or shell / prompt.

Pictures

Docker Masterclass in Machine Learning and Data Science

Sample Clip

Installation Guide

Extract files and watch your favorite player

Subtitle : English

Quality: 1080p

Version 2023/4 compared to 2020/12 increased the number of 8 lessons and the duration of 22 minutes. Also, the quality of the course has been increased from 720p to 1080p.