Description
Docker Masterclass for Machine Learning and Data Science, the Docker training course for machine learning and data science is published by Udemy Academy. Every data scientist knows that at some point, they need to show their progress and results. And there is no greater fear than that your algorithm won’t run on another computer for reasons you can’t define.
This course is taught by Jordan Sauchuk, Docker SEO and Cyber Security Specialist. This course is designed to introduce you to Docker. So you will always be ready to post your content regardless of the conditions. You will also learn about Docker Swarm, Docker Compose, and using Docker with AWS. In each section, you’ll find not only video lessons, but also richer articles and quizzes designed to make you a Docker expert. After completing the course, you’ll be confident that you can handle any Docker challenge and projects. Carry yourself like a pro.
What you will learn
- Use Docker to build containers to deploy applications.
- Learn the concepts behind Docker and understand how it works.
- Getting to know tips about working with Docker
- Understand how to create and deploy Docker containers from scratch.
- You’ll also learn about Docker images, Docker Hub, security with Docker, and much more so you can implement Docker throughout your career if needed.
Who is this course suitable for?
- Anyone interested in advancing their career and acquiring a skill that is not only highly relevant now, but will continue to grow.
Specifications of the Docker Masterclass for Machine Learning and Data Science course
Head of the seasons
Course prerequisites
- The requirements for this course are 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 we need to write our code, and the terminal or shell/prompt.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
The version of 2023/11 compared to 2020/12 has increased the number of 8 lessons and the duration of 22 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
File(s) password: www.downloadly.ir
Size
570 MB
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