AI class 360

DEVOPS AND CLOUD ENGINEERING

Learn to automate application development life cycle on secure cloud infrastructure.
7 Enrolled
24 week

Course Overview

The program starts with exploring advanced coding concepts in Python. You will learn collaborative coding techniques using version control systems and tools. Next, the program will introduce you to the DevOps environment that automates the CI/CD pipelines for rapid code build, testing, and deployment. The
module includes the techniques and process involved in designing, configuring, and deploying cloud infrastructure and microservices for secure and economical application operability. Finally, the focus will shift to automating the monitoring and tracking process of the entire system.

SAMPLE PROJECTS
  • Architecting a 3-Tier Application on AWS VPC with ASG, ELB, and Backup Plan:-  The objective of this project is to design and deploy a scalable and highly available 3 tier application on Amazon Web Services (AWS) Virtual Private Cloud (VPC). The architecture will include an Application Load Balancer (ALB) to distribute traffic, Auto Scaling Groups (ASGs) for automatic scaling, and a robust backup plan to ensure data resilience.
  • Automating Deployment of MERN Stack on AWS App Runner with AWS CodePipeline: – The purpose of this project is to automate the deployment process of a MERN (MongoDB, Express.js, React.js, Node.js) stack application on AWS App Runner using AWS CodePipeline. By implementing this automation, developers can save time and effort in deploying their MERN applications and ensure a streamlined and consistent deployment process. AWS App Runner is a fully managed service that simplifies the deployment of containerized applications. It automatically builds and deploys your application from source code or a container image, providing a scalable and highly available environment. AWS CodePipeline is a continuous integration and continuous deployment (CI/CD) service that enables you to automate the release process for your applications. It integrates with various AWS services, including AWS App Runner, to create a seamless deployment pipeline.

 

 

  • Dockerized Microservices on Kubernetes: CI/CD with Jenkins and GitHub:- The Dockerized Microservices on Kubernetes project aims to build a microservices based architecture using Docker containers and deploy them on Kubernetes. Additionally, the project focuses on automating the CI/CD pipeline using Jenkins and GitHub, providing a seamless development and deployment workflow. Microservices architecture promotes the decomposition of an application into smaller, loosely coupled services, enabling flexibility, scalability, and easier maintenance. Docker containers provide a lightweight and portable environment to package and isolate each microservice. Kubernetes, as a container orchestration platform, ensures efficient management and scaling of these microservices
  • An OTT Platform: – Deploying OTT-based platform and scaling up to handle millions of concurrent users. The project includes the deployment architecture design to automate scaling up of microservice based applications while keeping the cost at check.

Features

  • 7+ INDUSTRY PROJECTS
  • 8 MONTHS PROGRAM
  • 50+ lIVE SESSIONS
  • 12-15 HOURS
  • 3 CLOUD PLATFORMS
  • BACHELOR'S DEGREE REQUIRED
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Ai Class 360

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78 Students
26 Courses

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