Weekend batches
October 2026
09:00–15:00 · flexible hours
$799per learner
24 Oct 2026
4 of 25 seats available
31 Oct 2026
10 of 25 seats available
Advance your cloud automation expertise with AWS Certified DevOps Engineer – Professional (DOP-C02) Training in Singapore . Master CI/CD pipelines, infrastructure as code, deployment strategies, monitoring, security automation, and incident response using AWS services. Practise real-world DevOps scenarios, optimise cloud operations, and strengthen your preparation for the professional-level certification exam while developing advanced skills for scalable, secure, and reliable AWS environments.
Training calendar
A new weekday and weekend batch starts every week. Each batch runs for 5 training days, based on the course duration of 40 Hours/5 days.
Weekend batches
09:00–15:00 · flexible hours
$799per learner
24 Oct 2026
4 of 25 seats available
31 Oct 2026
10 of 25 seats available
Weekend batches
09:00–15:00 · flexible hours
$799per learner
07 Nov 2026
25 of 25 seats available
14 Nov 2026
25 of 25 seats available
21 Nov 2026
25 of 25 seats available
28 Nov 2026
25 of 25 seats available
Weekend batches
09:00–15:00 · flexible hours
$799per learner
05 Dec 2026
25 of 25 seats available
12 Dec 2026
25 of 25 seats available
19 Dec 2026
25 of 25 seats available
26 Dec 2026
25 of 25 seats available
Weekend batches
09:00–15:00 · flexible hours
$799per learner
02 Jan 2027
25 of 25 seats available
09 Jan 2027
25 of 25 seats available
16 Jan 2027
25 of 25 seats available
23 Jan 2027
25 of 25 seats available
30 Jan 2027
25 of 25 seats available
Course curriculum
AWS Cloud Fundamentals: Understand core AWS services, including EC2, S3, IAM, VPC, CloudWatch, and load balancing.
DevOps Principles: Have a basic understanding of continuous integration, continuous delivery, automation, infrastructure management, and collaborative software development practices.
AWS Administration Experience: Practical experience managing AWS resources, configuring cloud environments, and troubleshooting infrastructure issues is recommended.
CI/CD Pipeline Knowledge: Familiarity with build automation, source control, testing workflows, deployment pipelines, and release management.
Infrastructure as Code (IaC): Basic knowledge of AWS CloudFormation, Terraform, or comparable infrastructure provisioning tools is beneficial.
Scripting and Automation Skills: Familiarity with Python, Bash, PowerShell, or similar scripting technologies helps with operational automation and troubleshooting.
Monitoring and Logging: Understand cloud observability concepts, application logs, metrics, alerts, and performance monitoring using AWS services.
Security and Compliance Awareness: Know the fundamentals of IAM policies, encryption, secrets management, least-privilege access, and cloud security controls.
Containerisation and Deployment Concepts: Familiarity with Docker, Amazon ECS, Amazon EKS, or other container deployment technologies is useful.
Professional Learning Readiness: IT professionals, cloud engineers, system administrators, and DevOps practitioners in Singapore should be prepared for advanced, hands-on AWS automation and troubleshooting exercises.
Recommended background: AWS recommends substantial experience provisioning, operating, and managing AWS environments, along with experience implementing CI/CD systems and automating security controls. The official certification exam does not require a mandatory prerequisite certification, but practical AWS experience is strongly recommended.
Career value
Develop expertise in automating cloud infrastructure, application deployments, and operational workflows using AWS DevOps tools. Build practical capabilities for streamlining software delivery and reducing repetitive manual tasks.
Learn to design and optimise continuous integration and continuous delivery pipelines using AWS CodePipeline, CodeBuild, and related automation technologies. Strengthen your ability to support faster, more consistent software releases.
Explore infrastructure provisioning and configuration management using AWS CloudFormation and other infrastructure-as-code approaches. Develop skills relevant to repeatable cloud deployments and scalable infrastructure operations.
Understand how to integrate identity management, security controls, secrets protection, and compliance checks into DevOps workflows. Build knowledge relevant to DevSecOps practices and secure AWS application delivery.
Learn to use AWS monitoring, logging, alerting, and troubleshooting techniques to investigate operational issues. Develop practical knowledge of system reliability, performance optimisation, and incident management.
Strengthen your professional profile for opportunities such as AWS DevOps Engineer, Cloud Automation Engineer, Site Reliability Engineer (SRE), Platform Engineer, and DevSecOps Engineer. Career progression depends on practical experience, demonstrated skills, and employer requirements.
Advantages
Explore AWS services and tools used to automate development, testing, deployment, and operational workflows. Practical exercises help connect DevOps concepts with real cloud engineering tasks.
Learn how to build, manage, and troubleshoot automated delivery pipelines. Understand how source control, build automation, testing, and release strategies contribute to reliable application deployment.
Develop knowledge of repeatable infrastructure provisioning, version-controlled configuration, and environment consistency. Explore CloudFormation and related approaches to managing AWS resources efficiently.
Understand how to incorporate security testing, identity controls, auditability, and policy enforcement into automated workflows. Learn practices that help teams address security requirements throughout the software delivery lifecycle.
Build familiarity with monitoring metrics, centralised logging, alerts, automated remediation, and incident investigation. Learn how these practices support service availability and operational visibility.
Practise scenario-based questions and cloud engineering exercises aligned with the AWS Certified DevOps Engineer – Professional certification objectives. Strengthen your understanding of automation, deployment, monitoring, security, and incident response before attempting the official exam.
Certification Name: AWS Certified DevOps Engineer – Professional (DOP-C02).
Exam Provider: Amazon Web Services (AWS).
Exam Level: Professional / Advanced.
Exam Type: Multiple-choice and multiple-response questions.
Exam Duration: 180 minutes (3 hours).
Number of Questions: 75 questions, including scored and unscored questions.
Passing Score: 750 out of 1,000 on the AWS scaled scoring system.
Exam Delivery: Pearson VUE testing centre or online proctored delivery, subject to current availability and eligibility.
Key Exam Domains: Software Development Life Cycle Automation; Configuration Management and Infrastructure as Code; Resilient Cloud Solutions; Monitoring and Logging; Incident and Event Response; and Security and Compliance.
Core Technical Areas: CI/CD pipeline automation, AWS CodePipeline, CodeBuild, deployment strategies, CloudFormation, monitoring, logging, IAM, security automation, fault tolerance, and incident response.
Preparation Strategy: Practise AWS deployment scenarios, infrastructure automation, pipeline troubleshooting, monitoring configurations, security controls, and scenario-based questions.
Certification Validity: AWS certifications are generally valid for three years, subject to AWS recertification policies.
Bring your learning together
The AWS Certified DevOps Engineer – Professional (DOP-C02) Training equips experienced IT professionals with advanced knowledge of cloud automation, continuous integration and continuous delivery, infrastructure as code, deployment management, and operational monitoring. These capabilities are essential for organisations seeking to improve software release consistency, strengthen cloud security, and maintain reliable AWS environments.
Through StepMerit Learning, participants can explore practical AWS DevOps workflows, develop infrastructure automation skills, and understand how to implement secure CI/CD pipelines, monitor cloud applications, and respond to operational incidents. The training also supports preparation for the professional-level AWS certification examination through structured learning and scenario-based practice.
For cloud engineers and DevOps professionals in Singapore, this course offers a pathway to strengthening expertise in AWS cloud engineering, DevSecOps, platform automation, and site reliability engineering. By applying these skills to real-world technical scenarios, learners can build a stronger professional portfolio and prepare for advanced responsibilities in modern cloud-native environments. Certification success and career advancement depend on practical experience, individual preparation, and employer requirements.
Verified learning evidence
Professional Training Experience: Target an instructor with approximately 10 years of professional experience across AWS cloud engineering, DevOps automation, infrastructure management, and enterprise software delivery. Verify the assigned trainer's actual experience before publication.
Estimated Training Delivery Hours: A planning benchmark of approximately 2,000–4,000 instructor-led training hours across a decade, depending on teaching schedules and delivery commitments. Confirm the instructor's actual delivery record.
Estimated Candidates Trained: A proposed benchmark of approximately 500–1,000 professionals across AWS, cloud engineering, CI/CD, infrastructure automation, and DevOps programmes. Use verified candidate numbers where available.
AWS DevOps Engineering Expertise: Demonstrated knowledge of CI/CD pipeline design, AWS CodePipeline, AWS CodeBuild, deployment automation, infrastructure as code, configuration management, and cloud operations.
AWS Infrastructure Automation Skills: Practical understanding of AWS CloudFormation, repeatable infrastructure provisioning, environment configuration, resource lifecycle management, and automated deployment workflows.
Cloud Security and DevSecOps Knowledge: Ability to teach IAM, least-privilege permissions, secrets management, encryption principles, security testing, and compliance-related automation in AWS environments.
Telecommunications Use-Case Expertise: Ability to explain how AWS DevOps practices can support telecommunications billing systems, customer portals, network management applications, service provisioning platforms, and high-availability digital services. Industry-specific experience should be confirmed before claiming it as the trainer's background.
Monitoring and Incident Response Experience: Knowledge of Amazon CloudWatch, logging, alerting, performance analysis, fault diagnosis, recovery planning, and operational incident management.
Practical Workshop Experience: Ability to facilitate hands-on exercises involving pipeline configuration, infrastructure deployment, testing automation, rollback planning, monitoring, and troubleshooting.
Enterprise Cloud Transformation Knowledge: Ability to explain DevOps collaboration, automation strategy, infrastructure standardisation, release governance, operational resilience, and continuous improvement in enterprise environments.
Assessment and Exam Preparation: Ability to guide learners through the DOP-C02 exam objectives, scenario-based practice, AWS architecture questions, and revision of key DevOps engineering concepts. Confirm alignment with the current official exam guide.
Trainer Qualification Verification: Verify relevant AWS certifications, current technical proficiency, professional experience, and practical knowledge of the AWS Certified DevOps Engineer – Professional exam objectives before assigning the trainer.
Continuous Professional Development: Maintain up-to-date knowledge of AWS service changes, DevOps automation tools, infrastructure-as-code practices, cloud security approaches, and evolving software delivery standards.
Problem Statement – A telecommunications company experiences slow software releases, inconsistent infrastructure configurations, manual deployment processes, service interruptions, and limited visibility into cloud-hosted applications. These challenges affect customer portals, billing platforms, network management applications, and digital communication services. The goal is to improve deployment efficiency, application reliability, security, and operational visibility using AWS DevOps practices.
How We Overcame the Problem – Learners applied AWS DevOps principles, continuous integration and continuous delivery (CI/CD), infrastructure as code, automated testing, deployment strategies, monitoring, and incident response practices to identify delivery bottlenecks and design a more consistent cloud operations workflow.
Overall Implementation – Learners designed a telecommunications DevOps workflow covering business requirements → source control → continuous integration → automated testing → infrastructure provisioning → deployment → monitoring and logging → incident response → feedback → continuous improvement.
Infrastructure as Code – Learners explored AWS CloudFormation and infrastructure-as-code principles to define repeatable cloud environments for telecommunications applications, reducing configuration inconsistencies across development, testing, and production.
Continuous Integration and Delivery – Learners mapped CI/CD workflows using AWS CodePipeline, AWS CodeBuild, and related tools to automate application builds, validation, and delivery activities for customer-facing and internal telecommunications systems.
Automated Testing and Quality Assurance – Learners developed testing strategies for application updates, configuration changes, and deployment packages to identify defects earlier and improve software release consistency.
Deployment Automation and Release Management – Learners evaluated deployment strategies, controlled rollouts, and rollback procedures to support safer releases for billing systems, customer self-service platforms, and network operations applications.
Cloud Security and Compliance – Learners applied AWS IAM principles, least-privilege access, encryption concepts, secrets management, and automated security checks to strengthen protection of telecommunications applications and sensitive customer information.
Monitoring and Observability – Learners explored Amazon CloudWatch metrics, logs, alarms, and dashboards to demonstrate how teams can monitor application health, investigate performance degradation, and improve visibility into cloud service operations.
Incident Response and Operational Resilience – Learners created incident response workflows covering alert analysis, fault investigation, recovery planning, and post-incident reviews to support continuity of critical telecommunications services.
Cost and Performance Optimisation – Learners examined resource utilisation, workload performance, scaling considerations, and cloud cost monitoring to identify opportunities for more efficient AWS operations.
Risk Management and Service Reliability – Learners assessed deployment risks, service dependencies, access controls, backup considerations, and recovery requirements before proposing changes to business-critical telecommunications workloads.
Evidence of Learning – Learners produced CI/CD pipeline diagrams, CloudFormation templates, automated testing plans, deployment and rollback strategies, IAM policy examples, monitoring dashboards, incident response runbooks, and cloud optimisation recommendations.
Overall Learner Outcome – Learners demonstrated the ability to analyse telecommunications delivery challenges, design AWS-based CI/CD workflows, automate infrastructure provisioning, integrate security controls, monitor cloud applications, troubleshoot deployment issues, and recommend practices that support reliable software delivery in telecommunications environments.
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AWS Certified DevOps Engineer – Professional (DOP-C02) Certification Training
$799 USD / learner · Next: 24 Oct 2026 · Approval before payment