Course Program Overview
AWS Certified: DevOps Engineer – Professional (DOP-C02)
- Duration: 3 Months
- Format: Live Online / Classroom / Corporate
- Sessions: 5 per week
- Session Length: 01 Hour each
- Tech Stack: AWS CLI, SDKs, CloudFormation, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Elastic Beanstalk, ECS/EKS, Lambda, CloudWatch, X-Ray, Systems Manager, IAM, VPC, Security Hub, Trusted Advisor, Auto Scaling, Elastic Load Balancing
- Outcome: Enterprise-ready portfolio + AWS Certification + Career acceleration
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Our placement Record
DOP-C02: AWS Certified DevOps Engineer – Professional Overview
The DOP-C02 exam validates advanced technical skills in provisioning, operating, and managing distributed application systems on AWS. It is intended for professionals seeking to demonstrate expertise in continuous delivery (CD), automation of processes, monitoring, and security controls in complex AWS environments.
Certification benefits include career advancement, proof of AWS DevOps mastery, and alignment with the world’s leading cloud platform.
📌 Key Exam Information
Certification Name
AWS Certified DevOps Engineer – Professional
Exam Code
DOP-C02
Level
Professional
Platform
AWS Cloud
Role
DevOps Engineer / Senior Cloud Automation Specialist
Prerequisites
Recommended: AWS Certified Developer – Associate OR AWS Certified SysOps Administrator – Associate
2+ years of experience provisioning, operating, and managing AWS environments
Exam Format
Multiple-choice, multiple-response
Duration
~180 minutes
Passing Score
Scaled score (750/1000 approx.)
🎯 Who Should Take DOP-C02
- Experienced DevOps engineers seeking AWS professional validation
- Cloud architects and system administrators specializing in automation
- Developers aiming to master CI/CD pipelines and infrastructure as code
- Professionals managing enterprise-scale deployments and monitoring solutions
- IT leaders driving DevOps adoption across organizations
🧠 DOP-C02 Exam Domain Weightage
SDLC Automation
Design and implement CI/CD pipelines, automate build/test/deploy workflows.
Configuration Management & Infrastructure as Code
Use CloudFormation, Elastic Beanstalk, and Systems Manager for repeatable deployments.
Monitoring & Logging
Implement CloudWatch, X-Ray, and centralized logging for operational excellence.
Policies & Standards Automation
Automate governance, compliance, and security controls.
Incident & Event Response
Design fault-tolerant recovery, automated remediation, and alerting.
High Availability, Fault Tolerance & Disaster Recovery
Architect resilient, scalable, and self-healing AWS environments.
🏆 Benefits of DOP-C02 Certification
- Future-Proof Skills: Validates advanced DevOps automation and AWS operational expertise.
- Career Advancement: Opens senior roles like DevOps Engineer, Cloud Automation Lead, Site Reliability Engineer.
- Enterprise Demand: AWS DevOps adoption is dominant; certified professionals are highly sought after.
- Global Recognition: AWS certifications are valued worldwide, boosting credibility.
- Placement Advantage: Demonstrates readiness for enterprise-scale automation projects.
- Continuous Learning: Certification renewal ensures ongoing alignment with evolving AWS services.
🌟 Top 5 Reasons to Choose Adian Soft Solutions for this course
Comprehensive Exam Alignment
Our 3-month roadmap is mapped directly to AWS’s official DOP-C02 exam blueprint. Every domain, every percentage weightage, and every skill is covered in detail, ensuring you’re exam-ready with no gaps.
Certification Guarantee & Retake Support
If you don’t pass DOP-C02 on your first attempt, we offer extended access to our learning materials and personalized retake support at no extra cost.
Hands-On Real-World Learning
Every module includes practical labs and industry-aligned case studies, ensuring students actively build and deploy CI/CD pipelines, monitoring solutions, and automated governance.
Capstone Project & Portfolio Development
Learners complete a comprehensive capstone project mirroring enterprise DevOps challenges. The finished project becomes part of their professional portfolio.
Career & Placement Support
Adian provides structured career pathways, resume workshops, interview preparation, and direct placement assistance.
Skills You Will Get
SDLC Automation
SDLC Automation
Infrastructure as Code
Infrastructure as Code
Monitoring & Logging
Monitoring & Logging
Security & Compliance
Security & Compliance
Incident Response
Incident Response
Portfolio Development
Portfolio Development
Course Design – AWS Certified DevOps Engineer – Professional (DOP-C02)
● Month 1
Exam Coverage: SDLC Automation (22%) + Configuration Management (17%)
SDLC Automation & Infrastructure as Code
Focus:
Learners begin with CI/CD fundamentals, exploring CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. They gain hands-on exposure to CloudFormation templates, Elastic Beanstalk deployments, and Systems Manager automation. By the end of this month, learners will confidently design automated pipelines and infrastructure as code.
Practical Labs:
- Build CI/CD pipelines with CodePipeline
- Automate deployments with CodeDeploy
- Create CloudFormation stacks for multi-tier applications
- Use Systems Manager for patch automation
Case Studies:
- A SaaS company automating deployments with CI/CD pipelines
- An enterprise migrating manual infrastructure to CloudFormation templates
Career Readiness:
- Resume tips for highlighting DevOps automation skills
- Mapping DOP-C02 to senior DevOps roles
● Month 2
Exam Coverage: Monitoring & Logging (15%) + Policies & Standards Automation (10%)
Monitoring, Logging & Security Automation
Focus:
This month emphasizes operational excellence, monitoring, and governance. Learners explore CloudWatch metrics, alarms, dashboards, and X-Ray tracing. They study compliance frameworks and governance tools like AWS Config, Security Hub, and Trusted Advisor.
Practical Labs:
- Configure CloudWatch alarms and dashboards
- Implement distributed tracing with X-Ray
- Automate compliance checks with AWS Config
- Use Security Hub for centralized governance
Case Studies:
- A fintech company ensuring compliance with automated security controls
- A healthcare provider leveraging centralized monitoring for HIPAA workloads
Career Readiness:
- Workshops on DevOps monitoring interview questions
- Guidance on positioning AWS operational knowledge in resumes
● Month 3
Exam Coverage: Incident Response (14%) + High Availability & DR (22%) + Consolidation of 100%
Incident Response, High Availability & Career Readiness
Focus:
The final month focuses on resilience, disaster recovery, and career readiness. Learners explore automated remediation, fault-tolerant architectures, and disaster recovery strategies. The capstone project consolidates all skills: students design and implement an end-to-end DevOps solution integrating CI/CD, monitoring, governance, and resilience.
Practical Labs:
- Implement auto scaling and load balancing for HA
- Configure disaster recovery with cross-region backups
- Automate incident response with Lambda and CloudWatch Events
- Explore Trusted Advisor recommendations for resilience
Case Studies:
- Enterprises designing multi-region disaster recovery strategies
- Retail companies reducing downtime with automated remediation
Career Readiness:
- Resume workshops tailored to DevOps cloud roles
- Mock interviews for DevOps Engineer and SRE positions
- Alumni success stories and placement pathways
- Capstone project presentation to showcase portfolio-ready DevOps expertise
Real Roles. Real Results.
Explore Your Post-Course Career
After completing the course, learners can unlock high-impact roles such as:
- DevOps Engineer – Professional
- Cloud Automation Specialist
- Site Reliability Engineer (SRE)
- Infrastructure Automation Architect
- Cloud Operations Lead
Salary Benchmark
AWS Certified DevOps Engineer – Professional (DOP-C02)
- India: Senior DevOps engineers typically earn ₹15–25 LPA, with higher packages for enterprise-scale roles.
- United States: The median salary is $135,000/year, with most roles ranging between $120,000–150,000/year.
- Global Outlook: Certified DevOps professionals often exceed $160,000/year when advancing to enterprise architect or specialized cloud automation roles.
Frequently Asked Questions
DOP-C02 AWS Certified DevOps Engineer – Professional
It validates advanced AWS DevOps expertise, including automation of CI/CD pipelines, infrastructure as code, monitoring, governance, and incident response in complex cloud environments.
Experienced DevOps engineers, cloud architects, system administrators, and developers aiming to master automation, resilience, and enterprise-scale AWS operations.
CI/CD pipeline design, infrastructure as code with CloudFormation, monitoring with CloudWatch/X-Ray, automated governance with Security Hub, incident response automation, and portfolio-ready DevOps projects.
Multiple-choice and multiple-response questions, ~180 minutes, passing score ~750/1000 (scaled).
- SDLC Automation (22%)
- Configuration Management & IaC (17%)
- Monitoring & Logging (15%)
- Policies & Standards Automation (10%)
- Incident & Event Response (14%)
- High Availability & Disaster Recovery (22%)
No mandatory prerequisites, but AWS recommends holding an Associate-level certification (Developer or SysOps) and 2+ years of AWS experience.
Start with Foundational (CLF-C02), progress to Associate (Solutions Architect, Developer, SysOps), then Professional (DevOps Engineer, Solutions Architect), and finally Specialty certifications.
Adian’s structured 3-month roadmap covers all domains with labs, case studies, and exam-aligned content.
Hands-on labs with CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CloudWatch, and automated remediation, plus a capstone project simulating enterprise DevOps challenges.
Resume workshops, interview prep, alumni network, and direct placement assistance with global enterprises.
Global recognition, career advancement, proof of AWS DevOps mastery, and enterprise demand for automation-skilled professionals.
It ensures progressive skill development from foundational cloud knowledge to advanced enterprise DevOps expertise.
Our Clients
- Client Testimonials
What Our Clients Say
We were impressed by the depth of expertise and the premium quality of Adian’s curriculum. Our analysts now use cloud-native AI pipelines daily, and the impact on our retail insights has been phenomenal. Truly a future-ready partner.
David Lee, Head of Data Science NextGen Retail AnalyticsAdian’s AI/ML training helped us build an internal team capable of designing healthcare-focused AI assistants. Their structured approach, combined with placement support, ensured our staff were industry-ready in record time.
Dr. Ananya Rao, Director of Innovation MedAI HealthcareThe strategic guidance and career pathway mapping provided by Adian stood out. Our employees not only learned cutting-edge AI and cloud techniques but also understood how to position themselves globally. This is premium education at its best.
Michael Johnson, VP of Engineering FinEdge SolutionsAdian Solutions has consistently delivered cloud talent that is project‑ready from day one. Their Professionals demonstrate mastery across AWS, Azure, and Google Cloud, with the rare ability to integrate AI workloads into enterprise environments. We’ve onboarded ...
Director of Cloud Engineering Global Technology FirmIn the financial sector, compliance and security are non‑negotiable. Adian’s training programs stand out because they embed FinOps, governance, and zero‑trust security into every module. The professionals we hired from Adian Solutions were able to optimize ...
VP, Cloud Security & Compliance International BankWe needed engineers who could deploy AI models securely on hybrid cloud infrastructure. Adian Solutions graduates not only understood the technical stack but also the industry context. Their ability to integrate Kubernetes, serverless, ...
CTO Healthcare AI StartupAdian Solutions is one of the rarest training providers that truly combines cloud computing with AI. Their alumni are not just certified — they are capable of architecting enterprise‑grade solutions across vendors. This makes them invaluable in consulting engagements ...
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Partnering with Adian Soft Solutions transformed our AI adoption journey. Their training programs gave our team the confidence to deploy advanced ML models in production. The hands-on labs and real-world case studies were game changers.
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