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Docker Masterclass for Machine Learning and Data Science

Learn how to containerize and deploy your ML projects with Docker
4.3
4.3/5
(670 reviews)
33,182 students
Created by

9.0

Classbaze Grade®

9.7

Freshness

7.7

Popularity

9.1

Material

Learn how to use Docker!
Platform: Udemy
Video: 4h 23m
Language: English
Next start: On Demand

Best Docker classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.7 / 10
This course was last updated on 1/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.7 / 10
We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.2 / 10
The course includes 4h 23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 29 minutes of 144 Docker courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

31 articles.
12 resources.
0 exercise.
0 test.

In this page

About the course

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.

What can you learn from this course?

✓ 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.

What you need to start the course?

• The requirements for this course is 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 needing to write our code, and the terminal or shell/prompt.

Who is this course is made for?

• Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow.

Are there coupons or discounts for Docker Masterclass for Machine Learning and Data Science ? What is the current price?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $15.4 of 144 Docker courses. So this course is 17% more expensive than the average Docker course on Udemy.

Will I be refunded if I'm not satisfied with the Docker Masterclass for Machine Learning and Data Science course?

YES, Docker Masterclass for Machine Learning and Data Science has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Docker Masterclass for Machine Learning and Data Science course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who will teach this course? Can I trust Jordan Sauchuk?

Jordan Sauchuk has created 7 courses that got 22,559 reviews which are generally positive. Jordan Sauchuk has taught 242,567 students and received a 4.3 average review out of 22,559 reviews. Depending on the information available, we think that Jordan Sauchuk is an instructor that you can trust.
Senior AI Advisor & Cybersecurity Engineer
I’m a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee.
I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more.
Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services.
For more information please feel free to reach out to me on LinkedIn and Twitter. 
Browse all courses by on Classbaze.

9.0

Classbaze Grade®

9.7

Freshness

7.7

Popularity

9.1

Material

Platform: Udemy
Video: 4h 23m
Language: English
Next start: On Demand

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