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DevOps on AWS

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Zero to Master Program

DevOps on AWS

The DevOps on AWS program focuses on integrating development and operations to enhance the software development lifecycle. It includes AWS tools and services like CodePipeline, CodeBuild, CodeDeploy, and CodeStar for continuous integration and delivery. The program emphasizes infrastructure as code using AWS CloudFormation and automation through AWS Lambda. It covers monitoring and logging with AWS CloudWatch and AWS X-Ray. Security practices are integrated using AWS Identity and Access Management (IAM). The program also addresses scaling and resource management using Amazon EC2, ECS, and EKS. It aims to create efficient, reliable, and secure cloud-based applications.

Fee

COURSE FEE

₹30,000

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4.8

30K+ Learners enrolled

60+

Hours of lectures

350+

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About

Curriculum

Companies

FAQ

This is where you embark on an amazing journey!

Most flexible program in the industry

Freedom to learn

Watch classes any time at your convenience

Cheat days

Catch up on the course when life is calling you elsewhere

Features that keep you going

A structured curriculum that makes learning easy

Practice code problems of varying difficulty

Engagement coach to keep you motivated

Compile & run in an integrated coding environment

Get doubts resolved in 30 mins

1:1 sessions over voice call & chat with our skilled teaching assistants

Industry leading mentors to help you grow

1:1 Mock interviews with resume and career guidance

Structured feedback to make you better

Get a chance to be referred to your mentors’ company

Experience a seamless job switch with hiring assistance

Skill-based hiring across all levels of experience

The results

110%

Average salary hike

7000+

Transitions to product companies

250+

Trusted placement partners

Frequently asked but seldom read questions

Yes, this course is entirely offline, and we offer some courses online as well.

Basic understanding of software development, familiarity with AWS services, knowledge of version control systems like Git, and some experience with command-line interfaces and scripting are recommended prerequisites for this course.

This course is designed for individuals with some basic knowledge of AWS and software development. However, beginners can also benefit if they are willing to put in extra effort to understand the foundational concepts.

Yes, the course includes hands-on labs and projects where you will apply what you learn to real-world scenarios using AWS services.

Upon completion, you can pursue roles such as DevOps Engineer, AWS Cloud Engineer, Site Reliability Engineer (SRE), Automation Engineer, and more.

Submissions are evaluated based on criteria such as correctness, completeness, critical thinking, and adherence to instructions, typically using rubrics or grading guidelines provided by the instructor.
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Companies

Meet the faculty legends that will make you legendary

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Praveen Kumar

Founder & Instructor

Praveen has a full stack development experience and professional instructor and trainer for Flutter, Data Science, Machine Learning and Python Programming. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations.

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Lenin Prakash

Co-Founder & Instructor

He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.

Course curriculum for the curious

  • -Overview of DevOps Principles and Practices
  • -Introduction to AWS Cloud Services
  • -Benefits of Integrating DevOps with AWS
  • -Course Objectives and Structure
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  • -Understanding AWS Global Infrastructure
  • -Key AWS Services: EC2, S3, RDS, Lambda
  • -Introduction to IAM (Identity and Access Management)
  • -Setting Up Your AWS Environment
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  • -Introduction to Version Control Systems
  • -Setting Up Git and GitHub
  • -Best Practices for Branching and Merging
  • -Collaborating with Teams Using GitHub
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  • -Introduction to CI/CD Pipelines
  • -Setting Up Jenkins on AWS
  • -Configuring Jenkins Pipelines for CI
  • -Integrating GitHub with Jenkins
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  • -Importance of Automated Testing in DevOps
  • -Writing Unit Tests, Integration Tests, and End-to-End Tests
  • -Implementing Automated Testing with Jenkins
  • -Using AWS CodeBuild for Automated Testing
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  • -Introduction to Configuration Management
  • -AWS Systems Manager Overview
  • -Automating Configuration Management
  • -Using Parameter Store and Secrets Manager
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  • -Understanding Infrastructure as Code
  • -Introduction to AWS CloudFormation
  • -Writing CloudFormation Templates
  • -Automating Infrastructure Deployment
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  • -Introduction to Containers and Docker
  • -Setting Up Docker on AWS
  • -Building and Managing Docker Images
  • -Running Containers in Development and Production Environments
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  • -Introduction to Kubernetes
  • -Setting Up Amazon EKS (Elastic Kubernetes Service)
  • -Deploying Applications on EKS
  • -Managing and Scaling Kubernetes Clusters
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  • -Introduction to Continuous Deployment
  • -Setting Up AWS CodePipeline
  • -Integrating CodePipeline with Other AWS Services
  • -Automating End-to-End Deployment
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  • -Importance of Monitoring and Logging in DevOps
  • -Setting Up AWS CloudWatch for Monitoring
  • -Using AWS CloudTrail for Auditing and Compliance
  • -Visualizing Metrics and Logs
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  • -Introduction to DevOps Security
  • -Implementing AWS Security Best Practices
  • -Using AWS Security Hub and Inspector
  • -Managing Access with IAM Policies
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  • -Introduction to Scalability and Performance
  • -Auto Scaling Groups and Elastic Load Balancing
  • -Optimizing Performance with AWS CloudFront and AWS Global Accelerator
  • -Cost Optimization Strategies
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  • -Introduction to Serverless Computing
  • -Building Serverless Applications with AWS Lambda
  • -Orchestrating Workflows with AWS Step Functions
  • -Best Practices for Serverless Applications
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