AWS Devops Certification Training in Gurgaon
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course

Certification aligned to
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
AWS Cloud Certification Overview
This AWS live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across AWS platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ AWS official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Integrate testing and quality best practices into software development from design till release across the entire product lifecycle
Design, deploy, and operate large-scale global hybrid cloud environments during end-to-end automated CI/CD DevOps pipelines
Drive enterprise cloud adoption forward while ensuring fast, stable delivery through CI/CD principles, tools, technologies and methodologies
What is AWS Certified Engineer?
AWS Certified Engineers are essential for driving cloud innovation in software development and testing. They manage the full deployment cycle, building and maintaining DevOps pipelines for Application deployment and workflows, and also automating deployment and testing processes. By automating workflows and resolving challenges in deployment, and maintenance, they help organizations deliver reliable, high-performance & faster and more efficiently.
The role of AWS Certified Engineer?
AWS Certified Cloud Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud netwtorking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable AI Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers AWS Certified Cloud Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact AWS Certified Cloud Engineers engineer in software development and testing.”**
Who should take this AWS Certified Cloud Engineers course?
The AWS Certified Cloud Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of AWS Certified Cloud Engineer Course?
Prerequisites for the AWS Certified Cloud Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
Which jobs can I get after a AWS Certified Cloud Engineer Certification Course?
- AWS Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
- Â
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 3 months | 4 months | 1 month |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
AWS Cloud Certification Course Overview
This AWS Cloud Certification training enhances your career after chosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with AWS tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding AWS certification path. You can choose the role(s) that progress your AWS certification journey toward your goals. These learning paths are recommendations, not requirements.
Test Engineer / Cloud DevOps Engineer / DevSecops Engineer
AWS DevOps Engineer Professional Certification Course (DOP-C02)
Domain 1: SDLC Automation
- Introduction to CICD in AWS
- CodeCommit – Overview
- IMPORTANT: CodeCommit Discontinuation
- [Important] AWS Console UI Update
- GitHub - Hands On
- CodeCommit – Advanced
- [DVA] CodePipeline – Overview
- CodePipeline – Extras
- CodePipeline - CloudFormation Integration
- CodePipeline – Advanced
- CodeBuild – Overview
- CodeBuild - Hands On Part 1
- [DVA] CodeBuild - Hands On Part 2
- CodeBuild – Advanced
- [DVA] CodeDeploy – Overview
- CodeDeploy - EC2 Deep Dive
- CodeDeploy - Lambda Deep Dive
- CodeDeploy - Rollbacks & Troubleshooting
- [DVA] CodeArtifact – Overview
- [DVA] CodeArtifact - Upstream Repositories & Domains
- [DVA] CodeGuru – Overview
- CodeGuru – Extras
- EC2 Image Builder
- EC2 Image Builder – Extras
- [SOA] AWS Amplify
- AWS Amplify - Extras
Domain 2: Configuration Management at IaC
- [DVA/SOA] CloudFormation - Overview
- [DVA/SOA] CloudFormation - Create Stack - Hands On
- [DVA/SOA] CloudFormation - Update & Delete Stack - Hands On
- [DVA/SOA] CloudFormation - Resources
- [DVA/SOA] Cloud Formation - Parameters
- [DVA/SOA] CloudFormation - Mappings
- [DVA/SOA] CloudFormation - Outputs & Exports
- [DVA/SOA] Cloud Formation - Conditions
- [DVA/SOA] CloudFormation - Intrinsic Functions
- [DVA/SOA] CloudFormation - Rollbacks
- [DVA/SOA] CloudFormation - Service Role
- [DVA/SOA] CloudFormation - Capabilities
- [DVA/SOA] CloudFormation - Deletion Policy
- [DVA/SOA] CloudFormation - Stack Policy
- [DVA/SOA] CloudFormation - Termination Protection
- [DVA/SOA] CloudFormation - Custom Resources
- CloudFormation - Custom Resources - Hands On
- [DVA/SOA] CloudFormation - Dynamic References
- [SOA] CloudFormation - User Data
- [SOA] CloudFormation - cfn-init
- [SOA] CloudFormation - cfn-signal & Wait Condition
- [SOA] CloudFormation - cfn-signal Failures
- [SOA] CloudFormation - Nested Stacks
- [SOA] CloudFormation - Depends On
- Stack Sets - Warning
- [SOA] CloudFormation - Stack Sets
- [SOA] CloudFormation - Create Stack Sets - Hands On
- [SOA] CloudFormation - Update Stack Sets - Hands On
- [SOA] CloudFormation - Delete Stack Sets - Hands On
- [SOA] CloudFormation - Troubleshooting
- CloudFormation - Changesets
- CloudFormation - cfn-hup
- CloudFormation - Drift
- Service Catalog - Overview
- Service Catalog - Extras
- [SAA/DVA/SOA] Elastic Beanstalk - Overview
- [SAA/DVA] Elastic Beanstalk - Hands On
- [DVA] Elastic Beanstalk - High Availability Environment
- [DVA] Elastic Beanstalk - Deployment Modes
- [DVA] Elastic Beanstalk - Deployment Modes Hands On
- Elastic Beanstalk - Extras
- [DVA] Serverless Application Model (SAM) - Overview
- [DVA] Serverless Application Model (SAM) with CodeDeploy
- [DVA] Cloud Development Kit (CDK) - Overview
- [DVA] Step Functions - Overview
- [DVA] Step Functions - Invoke Lambda - Hands On
- [DVA] AppConfig - Overview
- [SOA] Systems Manager (SSM) - Overview
- [SOA] Start EC2 Instances with SSM Agent - Hands On
- [SOA] AWS Tags & SSM Resource Groups
- [SOA] SSM Documents & SSM Run Command
- [SOA] SSM Automations
- [SAA/DVA/SOA] SSM Parameter Store
- [SOA] SSM Patch Manager and Maintenance Windows
- [SOA] SSM Session Manager
- SSM Default Host Management Configuration (DHMC)
- SSM Hybrid Environments
- SSM with IoT Greengrass
- SSM Automations - Use Cases
- SSM Compliance
- SSM OpsCenter
- SSM Session Manager with VPC Endpoints
Domain 3: Resilient Cloud Solutions
- [DVA] Lambda - Versions and Aliases
- [DVA] Lambda - Environment Variables
- [SAA/DVA/SOA] Lambda - Concurrency
- [DVA] Lambda - File Systems Mounting
- Lambda - Cross-Account File Systems Mounting
- [SAA/DVA] API Gateway - Overview
- [DVA] API Gateway - Stages and Deployment
- [DVA] API Gateway - Open API
- [DVA] API Gateway - Caching
- [DVA] API Gateway - Canary Deployments
- [DVA] API Gateway - Monitoring, Logging and Tracing
- [SAA/DVA] Amazon ECS - Overview
- [SAA/DVA] Amazon ECS - Auto Scaling
- [SAA/DVA] Amazon ECS - Solutions Architectures
- Amazon ECS - Logging
- [SAA/DVA] Amazon ECR - Overview
- Amazon ECR - Extras
- [SAA/DVA] Amazon EKS - Overview
- Amazon EKS - Logging
- [SAA/DVA] Amazon Kinesis Data Streams
- [SAA/DVA] Amazon Data Firehose
- [SAA/DVA] Amazon Managed Service for Apache Flink
- [SAA/DVA/SOA] Route 53 - Overview
- [SAA/DVA/SOA] Route 53 - Routing Policy - Weighted
- [SAA/DVA/SOA] Route 53 - Routing Policy - Latency
- [SAA/DVA/SOA] Route 53 - Routing Policy - Failover
- [SAA/DVA/SOA] RDS Read Replicas vs. Multi-AZ
- Amazon Aurora – Extras
- [SAA/DVA/SOA] ElasticCache - Overview
- [SOA] ElasticCache - Redis Cluster Modes
- [SAA] DynamoDB - Overview
- [SAA] DynamoDB - Advanced Features
- [SAA] AWS DMS - Overview
- AWS DMS - Monitoring
- [SAA/DVA/SOA] Amazon S3 - Replication
- AWS Storage Gateway - Overview
- AWS Storage Gateway - File Gateway Cache Refresh
- [SAA/DVA/SOA] Auto Scaling Groups - Scaling Policies
- Auto Scaling Groups - Lifecycle Hooks
- Auto Scaling Groups - Event Notifications
- Auto Scaling Groups - Termination Policies
- Auto Scaling Groups - Warm Pools
- Application Auto Scaling - Overview
- [SOA] Elastic Load Balancer - ALB Rules Deep Dive
- Elastic Load Balancer - Extras
- [SAA/SOA] NAT Gateway
- Multi-AZ Architectures
- Blue-Green Architectures
- Multi-Region Architectures
- [SAA] Disaster Recovery in AWS
Domain 4: Monitoring and Logging
- [SAA] CloudWatch Metrics
- [DVA/SOA] CloudWatch Custom Metrics
- CloudWatch Anomaly Detection
- [SAA/DVA/SOA] CloudWatch Logs - Overview
- [SAA/DVA/SOA] CloudWatch Logs - Live Tail - Hands On
- [DVA] CloudWatch Logs - Metric Filters
- All Kinds of Logs
- [SAA/DVA] CloudWatch Agent & CloudWatch Logs Agent
- [SAA/DVA/SOA] CloudWatch Alarms - Overview
- [DVA/SOA] CloudWatch Synthetics
- [SAA/DVA/SOA] Amazon Athena - Overview
- [SAA/DVA/SOA] Amazon Athena - Hands On
Domain 5: Incident & Event Response
- [SAA/DVA/SOA] EventBridge – Overview
- [SOA] EventBridge - Content Filtering Hands On
- [SOA] EventBridge - Input Transformation Hands On
- [SAA/DVA/SOA] Amazon S3 - Event Notifications
- Amazon S3 - Object Integrity
- [SOA] AWS Health Dashboard – Overview
- [SOA] AWS Health Dashboard - Events & Notifications
- [SOA] EC2 Instance Status Checks – Overview
- [SAA/DVA/SOA] CloudTrail – Overview
- [SAA/DVA/SOA] CloudTrail - EventBridge Integration
- [DVA] SQS - Dead Letter Queues
- SNS - Redrive Policy
- AWS X-Ray
- [DVA] AWS X-Ray with Beanstalk
- [DVA] AWS Distro for OpenTelemetry
Domain 6: Security and Compliance
- [SAA/SOA] AWS Config - Overview
- AWS Config - Configurations Recorder and Aggregator
- AWS Config - Conformance Packs
- AWS Config - Organizational Rules
- AWS Organizations - Overview
- AWS Organizations - Service Control Policies (SCPs)
- AWS Control Tower - Overview
- AWS Control Tower - Landing Zones
- AWS Control Tower - Account Factory & Migrating Accounts
- Customizations for AWS Control Tower (CfCT)
- AWS Control Tower - Config Integration
- AWS Control Tower - Account Factory for Terraform
- [SAA/SOA] IAM Identity Center - Overview
- IAM Identity Center - Extras
- AWS Web Application Firewall (AWS WAF)
- [SAA] AWS Firewall Manager - Overview
- AWS Firewall Manager - Policies
- [SAA/SOA] Amazon GuardDuty - Overview
- Amazon GuardDuty - Advanced
- Amazon GuardDuty - CloudFormation Integration
- Amazon Detective
- [SAA/SOA] Amazon Inspector - Overview
- [SOA] Amazon Inspector - Hands On
- Amazon Inspector - EC2 Setup
- [SOA] EC2 Instance Migration using AMIs
- [CCP/SAA/SOA] AWS Trusted Advisor - Overview
- AWS Trusted Advisor - Architectures
- AWS Secrets Manager
Other Services
- AWS Tag Editor
- Amazon QuickSight
- [SAA] AWS Glue
Deployment a microservices app through a CI/CD pipeline with Jenkins K8s & Terraform artifacts.
Project Description : Applications contain 20+ microservices that will be packaged into containers & pushed it to Container Registry (AWS ECR & Azure Container Registry) automatically through the CI/CD pipeline integrates with Terraform scripts that will snip the infrastructure at runtime & also helped the apps to be deployed into higher environments (UAT, Stage & above).
Also Terraform manages the end-to-end Infrastructure deployment life cycle using Terraform workflow and IaC templates.
Automated Ingestion Framework Pipeline (Data MESH on AWS)
The whole Data MESH pipeline will be automated through Jenkins & Terraform where in it deploys the AWS components like S3, Lambda, Step Functions, SQS & Iceberg tables into AWS before triggering the data flow through the pipeline. Data will be extracted from the source like contact centers & others & this whole pipeline is realtime pipeline that triggers whenever data arrives from the source into Kafka using Kafka source and sink connecters that triggers the deployment process.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as AWS Certified DevOps Engineer – Professional (DOP-C02) Certification Course.
With the AWS Certified DevOps Engineer – Professional (DOP-C02) Certification Course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- AWS DevOps
- AWS EC2
- AWS S3
- Agentic AI Frameworks
- AWS EKS
- AWS ECR
- AWS Code Build
- Code Deploy
- Code Commit
- AWS Lambda
- AWS KMS
- AWS Secrets Manager
- AWS Cloudwatch
- AWS SQS

45% - 100%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a AWS Certified DevOps Engineer - Professional (DOP-C02) Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AWS & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a AWS Engineer?
To become a successful AWS Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in AWS implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers AWS Certified DevOps Engineer - Professional (DOP-C02) Certification Course reviewed by learners?
Our AWS Cloud Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (AWS)
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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