
Recorded
Course Type
4 Weeks
Under 10 hours of study a week
Engilish, Hindi
Subtitles : English
4 weeks
Subtitles : English
Subtitles : English
Docker Training for Beginners: Build your career with Docker.
Docker is a tool that uses containers to make it easier to construct, deploy, and operate applications. Containers are a standard technique to bundle an application and all of its dependencies so that it may be moved between environments and run without modification. It’s utilized in DevOps when organizations need to create large-scale solutions yet the intended users don’t have the same software. These use cases have enabled firms such as Microsoft and IBM to undertake huge projects with greater success than traditional DevOps. In this course, you’ll follow a series of hands-on labs that demonstrate how to use containers for your applications. You’ll start with the basics: creating and running your first Docker containers. By the end of the course, you’ll get a brief introduction to running containers in production and how to solve a problem. Getting to know this type of system makes you a valuable asset to any business needing to produce at scale or run complex yet reproducible systems.
- Introduction to Microservices and containers
- Docker CE vs EE
- Application Deployment History
- Docker Installation on Mac and Linux
- Docker Installation for Windows 10
- Docker Architecture Understanding
- Containerization in C
- Containerization in Java
- Understanding and Using Docker Compose
What you will learn
Data Structures
2 Real life Projects
2 Real life Projects
2 Real life Projects
Required skills to become
Data Scientist
Language: Python/R/SQL/NoSQL
Mathematics: Statisitics, Probability, Linear Algebra, Calculus
Algorithms of: Machine Learning , Data Mining, Deep Learning, Neural Networks, Data Analytics using Algos/Excel
/Tools
Extra skills: Good knowledge of manipulating & transversing data from various databases/data sources Basic understanding of Cloud Computing Knowledge of Data Structures”
Data Scientist
Language: Python/R/SQL/NoSQL
Mathematics: Statisitics, Probability, Linear Algebra, Calculus
Algorithms of: Machine Learning , Data Mining, Deep Learning, Neural Networks, Data Analytics using Algos/Excel
/Tools
Extra skills: Good knowledge of manipulating & transversing data from various databases/data sources Basic understanding of Cloud Computing Knowledge of Data Structures”
Dockers For Beginners
Course Review

John Doe
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John Doe
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John Doe
CEOLorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Why you should learn
Dockers For Beginners
27% CAGR by 2025
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27% CAGR by 2025
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