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AWS Certified DevOps Engineer

AWS Certified DevOps Engineer - Professional (DOP-C02)

If you are a beginner or a professional who wants to learn the whole process of automation of the software development.This AWS DevOps Certification Course covers some of the main areas like Continuous Integration & Monitoring, Security, Automation and Deployment.

7 – 8 Weeks | Mode: Live + Recorded Sessions

Learn All About DevOps on AWS

This AWS DevOps Certification Training will assist you in gaining hands-on skills with the help of several real world AWS projects.

Our Recently Placed Students in AWS DevOps Course

Prince

Placed at Accenture

Sneha Patel

Placed at TechBridge Solutions

Vishal Chauhan

Placed at Softcore Technologies

Karan Mehta

Placed at WebTech Solutions

Pooja Agarwal

Placed at Skywave Technologies

Rohit

Placed at Infotech Services India

Priya

Placed at CloudNet Technologies

Rahul Verma

Placed at Tech Solutions Pvt Ltd

About AWS Certified Devops Engineer Course

With the AWS DevOps Certification Course, you will learn to grasp how organizations use AWS cloud services to deploy software delivery. You will learn CI/CD, Infrastructure automation, Monitoring, Logging, Deployment techniques and Security step by step. The AWS DevOps Course is designed on the basis of hands-on learning so that you can confidently work on real cloud projects and prepare for the AWS Certified DevOps Engineer Professional test.

Why AWS Certified DevOps?
  • Learn DevOps using AWS cloud services
  • Learn CI/CD pipelines from the start to the end
  • Learn CloudFormation for infrastructure automation
  • Experience with monitoring, logging and deployment tools
  • Preparing for the AWS Certified DevOps Engineer Professional
  • Develop skills for DevOps and cloud jobs

What You Get

  • Live web training with professional instructors
  • Sessions to review recorded
  • Practical experience using AWS services
  • Hands-on project experience
  • Interview preparation and placement assistance
  • Tips for creating your resume

Course Design & Approved By

Nasscom & Wipro

Learn in AWS DevOps Certification Training

You will learn how DevOps works on AWS from development to deployment. You will learn CI/CD Pipelines, Infrastructure as Code, Monitoring, Logging, Cloud Security and Deployment Strategies. With AWS DevOps Certification Training, you will gain hands-on expertise.

AWS Certified DevOps Engineer

  • Category: Intermediate to Expert
  • Duration: Varies from training program
  • Type: Practical + Theory
  • Cost: Depends on the provider

Additional Use Cases & Topics

  • AWS DevOps Introduction
  • DevOps lifecycle in AWS
  • AWS Code Pipeline
  • AWS CodeBuild
  • AWS Code Deploy
  • AWS CloudFormation Infrastructure
  • Logging with AWS CloudTrail

Download Curriculum

Get a peek through the entire curriculum designed that ensures Placement Guidance

Course Design By

nasco wp

Course Offered By

Why Opt for AWS DevOps Certification Course?

  • Learn from anywhere.
  • Learning for beginners
  • Industry typical AWS tools
  • Hands-on project-based training
  • Preparation for certification
  • Learning on the Job

At the end of this course you will be able to:

  • Learn AWS DevOps
  • Create CI/CD pipelines
  • Automating your cloud infrastructure
  • Deploy Applications with AWS Service
  • Look at Cloud environments
  • Increase application reliability
Learners Reviews

“Started with basic cloud understanding. After completing AWS DevOps Certification Training.”

— Pallavi Mishra, Fresher

“AWS Certified DevOps Engineer course was very informative on all cloud automation and how to be prepared for the certification.”

— Aman Choudhary, Sysadmin

“Each session has a practical element. I learnt step by step about deployment automation, monitoring, Infrastructure as Code etc.”

— Shalini Gupta, Cloud Engineer

“The real life projects built my confidence to work with AWS DevOps services in real company situations.”

— Nitin Arora, Industry Professional

“The AWS DevOps Certification Course helped me learn cloud automation and deployment without making the topics hard.”

— Megha Joshi, Cloud Learner

“AWS DevOps Certification Training covered each topic in an easy way. I am able to create and maintain CI/CD on AWS currently.”

— Rohit Bansal, Engineer Software

Register Now

Kick start your journey of learning with AWS DevOps Certification Course, learn to Master in Cloud Automation and prepare for AWS Certified DevOps Engineer - Professional.

About the Trainer

Our trainer is an expert in cloud computing and DevOps, having worked on numerous real-life AWS projects in various industries. Trainer teaches each concept in easy-to-understand English and gives importance.

  • AWS Certified trainer experienced
  • Worked on real cloud and DevOps initiatives
  • Good knowledge of AWS services
  • Methodology of practical training
  • Interview and Certification Advice
Frequently Asked Questions

An AWS Certified DevOps Engineer is responsible for implementing and managing continuous integration and deployment pipelines, automating infrastructure, and optimizing AWS environments for scalability and reliability.

To become an AWS-certified DevOps Engineer professional, you need to pass the AWS Certified DevOps Engineer – Professional exam, demonstrating your expertise in designing and managing AWS solutions for DevOps practices.

The cost of AWS DevOps Engineer certification varies by exam level and location, with the AWS Certified DevOps Engineer – Professional exam typically costing around USD 300.

Prerequisites for AWS Certified DevOps Engineer certification include prior experience with AWS services, proficiency in DevOps methodologies, and knowledge of scripting languages like Python or Ruby.

The cost of AWS DevOps certification in India may vary, but generally, the exam fee for the AWS Certified DevOps Engineer – Professional exam is around INR 21,000*.

AWS DevOps certification validates your expertise in cloud-based DevOps practices, enhancing your credibility and opening doors to higher-paying roles and career advancement opportunities in cloud computing and DevOps fields.

Yes, students create failover simulations using Route53 and RDS multi-AZ in the lab.

Recorded classes, weekend batch schedules, and 24/7 access to the cloud lab are provided.

CURRICULUM & PROJECTS

AI-Integrated AWS DevOps Training Program

    Objective: Build a strong foundation in cloud concepts and AWS ecosystem.

    • Cloud Computing Concepts (IaaS, PaaS, SaaS)
    • AWS Global Infrastructure (Regions, AZs)
    • Pricing Models & Cost Optimization Basics
    • Shared Responsibility Model
    • Consolidated Billing

    Outcome: Understand how cloud platforms operate and how AWS services are structured.

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    Objective: Develop strong command-line and automation skills required for DevOps.

    • Linux File System & Process Management
    • User & Permission Handling
    • Networking Commands
    • App installation and configureation

    Outcome: Ability to manage servers and automate tasks efficiently.

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    Objective: Gain hands-on expertise in essential AWS services.

    • EC2 (Instance Types, AMI, Auto Recovery)
    • EBS & Storage Optimization
    • S3 (Versioning, Lifecycle, Security)
    • IAM (RBAC, Policies, Best Practices)
    • VPC (Subnets, NAT, Gateways, Routing)
    • Lambda automation
    • Cloudformation hands-on
    • Cross-Region Replication
    • AWS CLI Practicals

    Outcome: Deploy and manage production-level cloud infrastructure

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    Objective: Learn scalable and highly available cloud architecture.

    • Load Balancers & Auto Scaling
    • RDS, DynamoDB (Database Design)
    • Route 53 (DNS + Routing Policies)
    • CloudFront (CDN Optimization)
    • Storage Gateway

    Outcome: Design fault-tolerant and scalable applications.

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    Objective: Master modern serverless application design.

    • AWS Lambda (Function Design & Deployment)
    • API Gateway Integration
    • EventBridge & Step Functions
    • Automation with Lambda

    Outcome: Build cost-efficient, scalable serverless applications.

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    Objective: Master source code management and collaboration.

    • Git Internals & Workflows
    • Branching Strategies (GitFlow)
    • Merge vs Rebase
    • GitHub Integration & PR workflows
    • Hands-on on Bitbucket and GitHub both with command line.

    Outcome: Manage enterprise-level code repositories effectively.

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    Objective: Package and deploy applications using containers.

    • Docker Architecture & Lifecycle
    • Dockerfile Optimization (Multi-stage builds)
    • Docker Compose (Multi-container apps)
    • Networking & Volumes

    Outcome: Containerize applications for scalable deployments.

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    Objective: Orchestrate containers at scale.

    • Kubernetes Architecture (Control Plane + Nodes)
    • Deployments, Services, Ingress
    • Pod creation
    • Deployment and Replicate deployment via Pipeline
    • Scaling & Auto-healing

    Outcome: Deploy and manage production-grade Kubernetes clusters.

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    Objective: Automate infrastructure provisioning.

    • Topics Covered:
    • Terraform Core Concepts & Workflow
    • State Management & Backends
    • Modules & Reusability
    • Multi-cloud Deployment

    Outcome: Provision infrastructure programmatically.

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    Objective: Automate configuration and deployments.

    • Topics Covered:
    • Ansible Architecture & Playbooks
    • Roles & Templates
    • Dynamic Inventory
    • Cloud Automation with Ansible

    Outcome: Manage large-scale infrastructure configurations.

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    Objective: Implement real-time monitoring systems.

    • Grafana (Visualization)
    • Cloud Watch
    • Cloud Trail

    Outcome: Build full observability systems.

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    Objective: Integrate security into DevOps pipelines.

    • IAM & Access Control Best Practices
    • Secrets Management
    • Route Table

    Outcome: Implement secure DevOps workflows.

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    Objective: Leverage AI to enhance DevOps productivity.

    • Introduction to AIOps
    • Generative AI Concepts
    • Amazon Bedrock (FM, RAG, Fine-tuning)
    • Prompt Engineering
    • Amazon Q (Developer Productivity)
    • AI-based Log Analysis & Automation
    • Responsible AI & Governance

    Outcome: Apply AI in real DevOps scenarios.

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    Objective: Implement next-gen deployment strategies.

    • GitOps Principles
    • ArgoCD Deployment

    Outcome: Automate deployments using Git-based workflows.

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    Objective: Apply all concepts in real-world scenarios.

    • Serverless Application Deployment
    • AI-based Log Analyzer (GenAI + CloudWatch)
    • Multi-cloud Infrastructure using Terraform

    Outcome: Build a strong portfolio for job interviews.

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+ More Lessons

Course Design By

naswipro

Nasscom & Wipro

Course Offered By

croma-orange

Croma Campus

Our Students' Projects
1784806514.webp
Accenture - Enterprise Monitoring Project

Scenario: Application monitoring

Live Work:
  • Configured Amazon CloudWatch
  • Created monitoring dashboards
  • Set alarms
  • Monitored application health
  • Reviewed performance metrics

Outcome: Monitoring became simple and proactive.

1784806409.webp
TCS - Infrastructure as Code Project

Scenario: Infrastructure automation

Live Work:
  • Created CloudFormation templates
  • Automated infrastructure setup
  • Managed cloud resources
  • Updated infrastructure easily
  • Tested deployments

Outcome: Infrastructure deployment became faster.

1784806314.webp
Infosys - CI/CD Pipeline Project

Scenario: Application deployment automation

Live Work:
  • Built CI/CD pipelines using AWS CodePipeline
  • Automated code deployment
  • Connected source repositories
  • Tested deployment process
  • Reduced manual deployment work

Outcome: Complete deployment process became automated.

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