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LEARNING PATH: Docker: Dockerization with Docker

If you're interested to gain practical knowledge on how to orchestrate and deploy scalable applications with Docker, then you should surely go for this Learning Path.
/5
Created by Packt Publishing

8.8

CourseMarks Score®

9.5

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 3h10m
Language: English
Next start: On Demand

Top DevOps courses:

Detailed Analysis

CourseMarks Score®

8.8 / 10

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

Freshness Score

9.5 / 10
This course was last updated on 11/2020.

Course content can become outdated quite quickly.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.

Student Feedback

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

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.

Content Score

7.7 / 10
Video Score: 7.5 / 10
The course includes 3h10m 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 01 minutes of 181 DevOps courses on Simpliv Learning.
Detail Score: 10.0 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Delve into the most popular Docker features to explore the quick and robust way to build and deploy scalable applications

Docker is an open source containerization engine that offers a simple and faster way for developing and running software. It is one of the world’s best software container platforms. The use of containers in Docker makes it easy to develop, deploy and execute applications. If you’re interested to gain practical knowledge on how to orchestrate and deploy scalable applications with Docker, then you should surely go for this Learning Path.

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path are:

Develop containerized applications using Docker
Explore advanced build options and image tags
Deploy and test your Docker containers and put them to work in production
Let’s take a quick look at your learning journey. This Learning Path begins with setting up the Docker environment. You will be introduced to the basic Docker commands and how to work with images and containers. You’ll then quickly learn how to write a Dockerfile, build an image from it, and then launch a container from that image. You’ll also get hands-on experience with common Docker tasks such as pushing images to remote repositories, and using port mappings and the image caching layer during builds. You’ll also explore how to run Docker services and learn how it can be used to run a group of related Docker containers. This Learning Path also covers advanced topics such as sharing data between containers, Docker services to run a group of related Docker containers etc.

You’ll also gain knowledge on how you can contribute to the image repository by publishing different images. This will accustom you with the image building process and you’ll be able to successfully run your programs within containers.

By the end of this Learning Path, you’ll be confident in building and deploying your applications using Docker and have a clear understanding of techniques to get it running in production systems.

Meet Your Expert:

We have combined the best works of the following esteemed author to ensure that your learning journey is smooth:

Viktor Farcic is a senior DevOps consultant at CloudBees (https://www.cloudbees.com/), a member of the Docker Captains (https://www.docker.com/community/docker-captains) group, and an author. He codes using a plethora of languages starting with Pascal (yes, he is old), Basic (before it got the Visual prefix), ASP (before it got the .NET suffix), C, C++, Perl, Python, ASP.NET, Visual Basic, C#, JavaScript, Java, Scala, and so on. He never worked with Fortran. His current favorite is Go. Viktor’s big passions are Microservices, Continuous Deployment, and Test-Driven Development (TDD). He often speaks at community gatherings and conferences. Viktor wrote Test-Driven Java Development by Packt Publishing, and The DevOps 2.0 Toolkit. His random thoughts and tutorials can be found in his blog TechnologyConversations.com (https://technologyconversations.com).
Randall Smith is a senior systems administrator at Adams State University. He has been administering Windows, Linux, and BSD systems since 1999.He has been active in helping other sysadmins solve problems online and off. He has presented at the Colorado Higher Ed Computing Organization and Educause conferences on topics including Linux KVM and Ceph. In his spare time, Randall streams Let’s Play gaming videos at Music Free Gaming on YouTube and Twitch.
Basic knowledge
Basic working knowledge using the Linux command is needed

Requirements

• Basic working knowledge using the Linux command is needed

You will learn

What will you learn
✓ Write a Dockerfile, build an image from it, and then launch a container from that image
✓ Get familiar with common Docker tasks such as pushing images to remote repositories
✓ Use Docker Services to run a group of related Docker containers
✓ Share data between containers
✓ Install Docker on Linux, AWS, Google Compute Engine, and Microsoft Azure
✓ Troubleshoot Containers and Images
✓ Build Images with Docker
✓ Manage and share Docker images

This course is for

• This Learning Path is ideal for the emerging developers, operations managers, and IT professionals who would like to learn the basics of Docker and use it to

How much does the LEARNING PATH: Docker: Dockerization with Docker course cost? Is it worth it?

The course costs $39.99. And currently there is a 80% discount on the original price of the course, which was $199.99. So you save $160 if you enroll the course now.
The average price is $34.6 of 181 DevOps courses. So this course is 16% more expensive than the average DevOps course on Simpliv Learning.

Does the LEARNING PATH: Docker: Dockerization with Docker course have a money back guarantee or refund policy?

YES, LEARNING PATH: Docker: Dockerization with Docker has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the LEARNING PATH: Docker: Dockerization with Docker course, but there is a $160 discount from the original price ($199.99). So the current price is just $39.99.

Who is the instructor? Is Packt Publishing a SCAM or a TRUSTED instructor?

Packt Publishing has created 652 courses that got 0 reviews which are generally positive. Packt Publishing has taught 27 students and received a average review out of 0 reviews. Depending on the information available, Packt Publishing is a TRUSTED instructor.

More info about the instructor, Packt Publishing

8.8

CourseMarks Score®

9.5

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 3h10m
Language: English
Next start: On Demand

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