Learn to build Continuous Integration Continuous Deployment pipeline
Build CI CD tool to update docker image after any update
Learn to create dockerfile
Learn the fundamental concepts of Docker
Learn the fundamental concepts of Kubernetes
Learn to create Kubernetes YAML files
Learn to deploy high availability, fault tolerance, scalable application
Learn all the basic and advanced git commands
Learn different types of branches like master, developer, feature, release and hotfix branch
Learn fundamental concepts of Version Control System
Learn to use Github actions for CI CD pipeline
Learn to build python flask web application
Learn to use SQL Alchemy
Lean to create HTML pages using HTML, CSS and bootstrap
9 sections • 34 lectures • 2h 43m total length
Project Part 1
Project Part 2
Project Part 3
Project Part 4
Git Basics: Git Workflow
Git Basics: Git Components
Git Basics: Different types of Branches
Git COMMANDS which everyone should know
Setting up CI CD server using Github Actions
Adding some more features into Github action workflow file
What is Docker? How it works?
What is container and docker image?
Creating new docker image with every new changes/updates using Github Action
Difference between Docker and Kubernetes
Setting Up Minikube for single node kubernetes cluster
What are Pods and Services?
Architecture of Kubernetes
Deploying first Pod and understanding Kubernetes YAML files
Replicas for High Availability, Load Balancing and self healing applications
Deployment for quick updates & easy rollbacks
Why Docker is so powerful?
How to create Kubernetes multiple node cluster using kind
How to do Auto scaling in Kubernetes?
Creating first code commit repository
Creating new branch and pushing content into it
Code Build 1
Code Build 2
Code Build 3
Creating Source, Build and Deploy stage in AWS Code Pipeline Part 1
Creating Source, Build and Deploy stage in AWS Code Pipeline Part 2
Docker hub account
What is Devops Pipeline?
A Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier.
How do you make a DevOps pipeline?
Plan: It is the first and most important step in Devops Pipeline where you have to decide your product's goals and determining the resources necessary to achieve those goals.
Code: It comes after where you will do code development and code review of your product
Build: In this step you will build the source code into one desired format, compile, test and deploy in a particular place of the infrastructure.
CI/CD: CI/CD stands for continuous integration (CI) and delivery (CD) where it will check and verify the source code from Source Code Management and build it.
Test: Automatic tests ensure that no bugs will be implemented in production.
Release: The application code has passed the testing phase and now it is ready to be deployed.
Deploy: In this step, OPs team will deploy application from staging stage to production stage
Operate and Monitor: Here OPs team will operate and monitor the application and take action in any kind of failure.
What you will learn in this course?
In this course, you will learn about the tools which will complete the Devops pipeline and make robust application for you.
What is Git in Devops?
Git is an open-source and distributed version control system that lets you manage and keep track of your source code history.
What is Github in Devops?
Github is git repository hosting service used for code sharing, bug tracking, feature request and much more.
What is difference between git and Github?
Git is a version control system that lets you manage and keep track of your source code history. GitHub is a cloud-based hosting service that lets you manage Git repositories.
What are Tools and Libraries used for creating application in this course?
PyCharm is an integrated development environment (IDE) for python programing language.
Flask is a python web framework.
HTML is the standard markup language for Web pages.
CSS is a style sheet language use to style a HTML document.
SQLAlchemy is an open-source SQL toolkit and object-relational mapper which gives full power and flexibility of SQL.
Selenium is used to automate web browser interaction.
Pytest is unit testing framework that allows users to write test codes.
Ngrok allows to expose a web server running on your local machine to the internet.
What is Github Action in Devops?
Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository.
What is Docker in Devops?
Docker is an open source containerization platform enables developers to package applications into containers.
Why use Docker?
Docker solved the 'it works on my machine' headache by making applications platform independent. With Docker you can simply build, ship and run your application
What is Docker Hub?
Docker Hub is a cloud-based repository for finding and sharing container images with your team.
What are alternatives of Docker Hub?
AWS ECR, Azure Container Registry, Quay are the alternatives of Docker Hub.
What is Kubernetes in Devops?
Kubernetes is an open-source container orchestration for automating deployment, scaling, and management of containerized applications.
What is unique about this course?
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 programing language.
This course is fully based on pragmatic approach without any kind of bogus content. A short, precise and practical oriented course for IT pros just like you.
Who this course is for:
Anyone who wants to Enhance their skills in DevOps domain
Docker | Kubernetes | AWS | Azure | ML | Linux | Python
3.6 Instructor Rating
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 60+ courses with over 80,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.