DevOps Engineering on AWS
As part of this course, you will learn how to use a combination of DevOps best practices and tools to support your organization’s capability to develop, deliver and maintain applications and services at a high velocity on the AWS cloud. You will also learn to list the advantages of small autonomous devops teams, to design and implement infrastructure on AWS cloud that supports DevOps development projects. After completing the course, you will be able to attempt the AWS certified DevOps Engineer Professional certification.
The course is ideal for DevOps Engineers, DevOps architects, Operation Engineers, system administrators and software developers. Additionally, you are recommended to have attended the Cloud Operations on AWS or Developing on AWS courses, have working knowledge of C#, Java, PHP, Ruby or Python, along with two or more years of experience in provisioning, operating and managing AWS cloud environments.
In this course, you will:
- Use DevOps best practices to develop, deliver, and maintain applications and services at high
velocity on AWS - List the advantages, roles and responsibilities of small autonomous DevOps teams
- Design and implement an infrastructure on AWS that supports DevOps development projects
- Leverage AWS Cloud9 to write, run and debug your code
- Deploy various environments with AWS CloudFormation
- Host secure, highly scalable, and private Git repositories with AWS CodeCommit
- Integrate Git repositories into CI/CD pipelines
- Automate build, test, and packaging code with AWS CodeBuild
- Securely store and leverage Docker images and integrate them into your CI/CD pipelines
- Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
- Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
- Integrate testing and security into CI/CD pipelines
- Monitor applications and environments using AWS tools and technologies
This course is intended for:
- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
We recommend that attendees of this course have:
- Previous attendance at the Systems Operations on AWS or Developing on AWS courses
- Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
- Intermediate knowledge of administering Linux or Windows systems at the command-line level
- Two or more years of experience provisioning, operating, and managing AWS environments
Module 0: Course Overview
- Course objective
- Suggested prerequisites
- Course overview breakdown
Module 1: Introduction to DevOps
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
Module 2: Infrastructure Automation
- Introduction to Infrastructure Automation
- Diving into the AWS CloudFormation template
- Modifying an AWS CloudFormation template
- Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection
Module 3: AWS Toolkits
- Configuring the AWS CLI
- AWS Software Development Kits (AWS SDKs)
- AWS SAM CLI
- AWS Cloud Development Kit (AWS CDK)
- AWS Cloud9
- Demonstration: AWS CLI and AWS CDK
- Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure
Module 4: Continues Integration and Continues Delivery (CI/CD) with Development Tools
- CI/CD Pipeline and Dev Tools
- Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline
- Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy
Module 5: Continues Integration and Continues Delivery (CI/CD) with Development Tools
- AWS CodePipeline
- Demonstration: AWS integration with Jenkins
- Hands-on lab: Automating code deployments using AWS CodePipeline
Module 6: Introduction to Microservices
- Introduction to Microservices
Module 7: DevOps and containers
- Deploying applications with Docker
- Amazon Elastic Container Service and AWS Faregate
- Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
- Demonstration: CI/CD pipeline deployment in a containerized application
Module 8: DevOps and Serverless Computing
- AWS Lambda and AWS Faregate
- AWS Serverless Application Repository and AWS SAM
- AWS Step Functions
- Demonstration: AWS Lambda and characteristics
- Demonstration: AWS SAM quick start in AWS Cloud9
- Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline
Module 9: Deployment Strategies
- Continuous Deployment
- Deployments with AWS Services
Module 10: Automated Testing
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
Module 11: Security Automation
- Introduction to DevSecOps
- Security of the Pipeline
- Security in the Pipeline
- Threat Detection Tools
- Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector
Module 12: Configuration Management
- Introduction to the configuration management process
- AWS services and tooling for configuration management
- Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS)
Module 13: Observability
- AWS tools to assist with observability
- Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations
Module 14: Reference Architecture (Optional Module)
- Reference architectures
Module 15: Course Summary
- Components of DevOps practice
- CI/CD pipeline review
- AWS Certification
Class Deliverables
- Amazon Authorised Instructors
- Official AWS Content
- Hands-on labs (*where available)
- Class completion certificates
- Exam Prep sessions
Dates Available - Click on Book Now to proceed
| Virtual | 3 days | All Day | October 9, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | October 28, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | November 13, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | November 27, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | October 16, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | October 23, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | November 6, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | November 20, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | December 11, 2024 | ₹45,000 | |
| Virtual | 3 days | All Day | December 25, 2024 | ₹45,000 |
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Popular Courses
This course is designed for individuals with little to no experience on the AWS Cloud. The learners will learn about AWS Cloud concepts, AWS services such as Security, AWS Architecture, Pricing and Support to develop their knowledge on the AWS Cloud.
You will learn how to use a combination of DevOps best practices and tools to support your organization’s capability to develop, deliver and maintain applications and services at a high velocity on the AWS cloud.
The course explores the usage of the iterative Machine Learning (ML) pipeline to solve real-world business problems in a project-based environment. You will learn about each phase of the pipeline from an experienced AWS instructor.
FAQs
To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.
Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.
There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.
- Training Delivered by an Amazon Authorized Instructor.
- AWS Content E-Kit
- Hands-on-labs for 30 days
- Class attendance certificate
You will get the access to course content & lab on first day of your training session.
The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.
A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)
