Complete DevOps Bootcamp

This course is fully based on a pragmatic approach without any kind of bogus content. A short, precise, and practical-oriented course for IT pros just like you.

A DevOps pipeline is a set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier.

In this course you will complete the DevOps pipeline generally consists of a set of tools that are normally broken down into the following categories:

• Plan

• Code

• Integrate

• Test

• Release

• Deploy

• Operate

This learning path will cover:

1. Git is an open-source and distributed version control system. 

2. GitHub is a git repository hosting service used for code sharing, bug tracking, feature request, and much more.

3. PyCharm is an integrated development environment (IDE) for Python programming language.

4. Flask is a Python web framework.

5. HTML is the standard markup language for Web pages.

6. CSS is a style sheet language used to style an HTML document.

7. SQLAlchemy is an open-source SQL toolkit and object-relational mapper that gives full power and flexibility of SQL.

8. Selenium is used to automate web browser interaction.

9. Pytest is a unit testing framework that allows users to write test codes.

10. Ngrok allows to expose a web server running on your local machine to the internet.

11. Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository.

12. Docker is an open-source containerization platform that enables developers to package applications into containers.

13. Docker Hub is a cloud-based repository for finding and sharing container images with your team.

14. Kubernetes is an open-source container orchestration for automating the deployment, scaling, and management of containerized applications.

This course is one-stop shop where you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, DevOps concepts, and much more with Python programming language.