DevOps With AWS Online Course
Aws DevOps Training In Hyderabad is designed to help you master the core concepts of DevOps using Amazon Web Services. This course covers CI/CD pipelines, infrastructure as code (IaC), configuration management, monitoring, and automation tools like Jenkins, Docker, Terraform, CloudFormation, and more. Learn how to deploy and manage scalable applications on AWS with hands-on labs and real-time projects. Ideal for IT professionals, developers, and system admins, this course prepares you for the AWS Certified DevOps Engineer – Professional exam with expert-led training, certification guidance, and career support.
AWS DevOps Online Course Curriculum
Introduction to DevOps culture and principles
Overview of AWS global infrastructure and services
Benefits of using DevOps on AWS
Understanding the DevOps lifecycle on the cloud
Setting up AWS Free Tier account
Installing and configuring AWS CLI & SDK
IAM (Identity and Access Management) users, roles, and policies
Billing dashboard and cost alert setup
Git basics: init, clone, add, commit, push
Branching strategies (feature, develop, release, hotfix)
Setting up AWS CodeCommit repositories
Managing access to repositories with IAM
Integrating CodeCommit with AWS CodePipeline
Conflict resolution and merge strategies
Webhooks and notification setup
Best practices for source code management
Overview of Continuous Integration (CI)
Creating and configuring AWS CodeBuild projects
Writing and understanding buildspec.yml files
Environment variables and compute types
Managing dependencies in the build environment
Storing and handling build artifacts
Integrating CodeBuild with CodeCommit and GitHub
Viewing logs and debugging failed builds
Understanding CI/CD pipeline architecture
Creating pipelines with AWS CodePipeline
Connecting CodePipeline to CodeCommit, CodeBuild, and CodeDeploy
Adding manual approval stages
Automating deployment to EC2, Lambda, and ECS
Integrating third-party tools like Jenkins or GitHub Actions
Notifications and SNS alerts in pipelines
Rollback and failure handling mechanisms
Introduction to Infrastructure as Code
Writing basic AWS CloudFormation templates
Deploying infrastructure using CloudFormation stacks
Parameters, outputs, and mappings in templates
Introduction to Terraform and its CLI
Terraform vs. CloudFormation comparison
Managing state files in Terraform
Creating reusable infrastructure with Terraform modules
Introduction to configuration management tools
Using AWS OpsWorks with Chef and Puppet
Basics of Ansible and writing playbooks
Applying configurations to EC2 and container instances
Bootstrapping with EC2 user data
Managing software versions and dependencies
Ensuring idempotency in configurations
Automating updates and patching
Introduction to Docker and containerization
Building and running Docker images
Dockerfile instructions and best practices
Deploying containers using Amazon ECS (Elastic Container Service)
ECS vs. EKS comparison
Setting up Kubernetes cluster with Amazon EKS
Using Fargate for serverless container deployment
Creating CI/CD pipelines for containerized applications
Introduction to AWS CloudWatch
Creating custom metrics and dashboards
Setting alarms and triggers for notifications
Monitoring logs using CloudWatch Logs
Tracing requests with AWS X-Ray
Auditing user activity using AWS CloudTrail
Setting up centralized logging solutions
Troubleshooting performance issues with metrics
IAM policies and roles for least-privilege access
Encrypting data at rest and in transit
Managing secrets with AWS Secrets Manager
Using Systems Manager Parameter Store
Creating secure pipelines and role-based access
Implementing multi-factor authentication (MFA)
Understanding compliance standards (HIPAA, GDPR, etc.)
Shared responsibility model in AWS
Introduction to serverless computing with AWS Lambda
Writing and deploying Lambda functions
Creating event-driven workflows with EventBridge
Automating tasks with cron jobs and scheduled rules
Connecting Lambda with S3, DynamoDB, SNS, etc.
Monitoring Lambda performance and logs
Error handling and retries in Lambda
Automating DevOps tasks like backups, alerts, and scaling
Implementing a full CI/CD pipeline on AWS
Choosing the right architecture for deployment
Monitoring and optimizing DevOps performance
Managing environment configurations across stages
Cost-effective resource usage strategies
Security hardening of the DevOps pipeline
Building reusable and scalable templates
Hands-on capstone project using all covered tools
Overview of AWS Certified DevOps Engineer exam
Exam structure, domains, and scoring criteria
Practice questions and topic-wise quizzes
Time management tips for exam success
Common exam traps and how to avoid them
Mock test with detailed explanations
Final revision guide and cheat sheet
Certification and career roadmap planning
AWS DevOps Certification Online Training – Overview

The Aws DevOps Training In Hyderabad is a comprehensive program designed to equip professionals with the skills needed to automate and manage cloud infrastructure and application deployment using Amazon Web Services (AWS). This training blends DevOps principles with practical implementation through AWS tools and services, enabling learners to build, test, and deploy applications in highly scalable environments.
Participants will gain hands-on experience with CI/CD pipelines, Infrastructure as Code (IaC), monitoring and logging, containerization, and automation. The course is aligned with the DevOps With Aws Online Course certification and includes real-world projects, mock exams, and expert mentorship.
Benefits of Taking DevOps With Aws Online Course:
Taking an AWS DevOps course provides a powerful blend of cloud and DevOps skills, positioning you for high-demand roles in modern IT environments. You’ll gain hands-on experience with AWS services and DevOps tools to build automated CI/CD pipelines, manage infrastructure as code, and deploy scalable applications seamlessly. This course boosts your ability to streamline software delivery, reduce manual efforts, and improve system reliability. It also prepares you for the AWS Certified DevOps Engineer – Professional certification, which is highly valued in the job market. Whether you’re looking to advance your career, switch to cloud-based roles, or increase your earning potential, this training gives you a solid competitive edge.
Job Roles After AWS DevOps Certification:
AWS DevOps Engineer
✅ Cloud DevOps Engineer
✅ DevOps Architect
✅ Site Reliability Engineer (SRE)
✅ Release Manager
✅ Automation Engineer
✅ Build and Release Engineer
✅ Cloud Engineer (AWS)
✅ Infrastructure Engineer
✅ System Administrator -DevOps
Key Highlights
⭐ Live Instructor-Led Training & Doubt Clearing Sessions
⭐ Hands-on Labs & Real-Time Projects on AWS
✅ Flexible Batches – Weekend & Weekday Options Available
✅ Globally Recognized Certification Training
⭐ Access to Recorded Sessions for Lifetime Learning
⭐ Resume Building & Job Assistance Support
✅ Mock Exams, Quizzes, and Interview Preparation
✅ Training on Latest Tools: Jenkins, Docker, Terraform, Kubernetes, Git, etc.
⭐ Covers Full DevOps Lifecycle: CI/CD, IaC, Monitoring, Automation
⭐ Expert Guidance for AWS DevOps Engineer – Professional Certification
✅ Capstone Project to Build a Complete DevOps Pipeline on AWS
✅ Certification of Completion Recognized by Top Employers
AWS DevOps Training – Frequently Asked Questions (FAQs)
AWS DevOps Training is a hands-on course that teaches you how to use AWS tools and services to implement DevOps practices such as continuous integration, continuous deployment, infrastructure automation, and monitoring.
This course is ideal for DevOps engineers, cloud engineers, software developers, system administrators, and IT professionals who want to automate cloud operations using AWS and prepare for the AWS Certified DevOps Engineer – Professional exam.
Yes. Basic knowledge of AWS services, Linux commands, and DevOps concepts is recommended. Experience with version control tools like Git and scripting (e.g., Bash or Python) is helpful.
The course covers AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, CloudWatch, Lambda, EC2, S3, ECS, EKS, IAM, and more. It also includes tools like Git, Jenkins, Docker, Terraform, and Ansible.
Yes. The course includes real-world projects and use cases where you'll implement CI/CD pipelines, automate infrastructure, and deploy containerized applications using AWS services.
Absolutely. The training is aligned with the AWS Certified DevOps Engineer – Professional certification. It includes practice tests, mock exams, and guidance to help you confidently pass the exam.
We offer both options. You can choose live instructor-led sessions for real-time interaction or self-paced learning for flexibility, depending on your schedule and learning preference.
You’ll receive lifetime access to course materials, doubt-clearing sessions, technical support, resume building help, and interview preparation from industry experts.
