WSQ - AWS Certified DevOps Engineer Professional Training

Topic 1 SDLC Automation

• Implement CI/CD pipelines
• Integrate automated testing into CI/CD pipelines
• Build and manage artifacts
• Implement deployment strategies for instance, container, and serverless environments

Topic 2 Configuration Management and IaC

• Define cloud infrastructure and reusable components to provision and manage systems throughout their lifecycle
• Deploy automation to create, onboard, and secure AWS accounts in a multi-account or multi-Region environment
• Design and build automated solutions for complex tasks and large-scale environments

Topic 3 Resilient Cloud Solutions

• Implement highly available solutions to meet resilience and business requirements
• Implement solutions that are scalable to meet business requirements
• Implement automated recovery processes to meet RTO and RPO requirements

Topic 4: Monitoring and Logging

• Configure the collection, aggregation, and storage of logs and metrics
• Audit, monitor, and analyze logs and metrics to detect issues
• Automate monitoring and event management of complex environments

Topic 5: Incident and Event Response

• Manage event sources to process, notify, and take action in response to events
• Implement configuration changes in response to events
• Troubleshoot system and application failures

Topic 6: Security and Compliance

• Implement techniques for identity and access management at scale
• Apply automation for security controls and data protection
• Implement security monitoring and auditing solutions

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Year Group : 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need a AWS account (Credit Card is required).

You can download and install the following software:

• Docker
• Git

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• DevOps Engineer
• AWS Solutions Architect
• Cloud Engineer
• Systems Administrator
• Software Developer
• IT Project Manager
• Infrastructure Engineer
• Network Administrator
• Security Engineer
• Application Developer
• IT Operations Manager
• Site Reliability Engineer
• Full Stack Developer
• Data Engineer
• Technical Architect

Tan Chong Yong: Tan Chong Yong is a cloud-native architect and DevOps consultant with extensive experience designing, deploying, and operationalizing Kubernetes-based infrastructure across multi-cloud environments. Formerly a Senior Presales Solutions Architect at Aiven and Cloud Native Architect at VMware Tanzu, he has advised enterprise clients on database scalability, CI/CD automation, and container orchestration. With a strong foundation in open-source data platforms such as Kafka, PostgreSQL, and Cassandra, he has also led technical enablement programs and industry training for organizations across APAC. Tan holds multiple credentials including Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and VMware Cloud Master Specialist (Cloud Native).

In the Certified Kubernetes Administrator Training, Tan leverages his enterprise architecture and education experience to help learners build, manage, and secure Kubernetes clusters at scale. His sessions emphasize practical deployment, monitoring, and troubleshooting in real-world DevOps environments. Through hands-on labs and case-driven instruction, he equips participants with the confidence to manage production-ready clusters and implement best practices for containerized workloads across cloud and hybrid infrastructures.

Milton Sim: Milton Sim is a software and cloud engineer specializing in DevOps automation, container orchestration, and distributed systems. With professional experience at Goldman Sachs, the Republic of Singapore Air Force, and the Ministry of Health, he has architected and deployed secure, high-availability applications on AWS, Azure, and GCP. Milton is a Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and AWS Certified Solutions Architect – Professional, bringing a strong combination of infrastructure expertise and software engineering acumen. His proficiency spans Terraform, Docker, Ansible, and CI/CD automation with GitLab and GitHub Actions, ensuring robust, scalable deployments.

In the Certified Kubernetes Administrator Training, Milton focuses on helping learners master the operational side of Kubernetes, including cluster configuration, resource management, and security hardening. His teaching integrates real-world examples from enterprise and government deployments, enabling participants to understand not just how to configure Kubernetes, but why specific design decisions matter in production environments. His guidance ensures that learners are industry-ready to manage, automate, and optimize containerized applications in cloud-native ecosystems.

Nicholas Lu: Nicholas Lu is an experienced MLOps and DevOps engineer with deep expertise in Kubernetes, Terraform, and distributed data platforms. Over the past decade, he has worked in roles spanning Site Reliability Engineering, MLOps, and data engineering at Motional, Arvato Bertelsmann, and True Digital. A Certified Kubernetes Administrator (CKA) and AWS Solutions Architect Professional, Nicholas has built large-scale, cloud-agnostic infrastructures leveraging Helm, ArgoCD, Kubeflow, and GitOps principles. His work bridges the gap between data science and platform reliability, enabling efficient, automated machine learning operations across EKS and GKE environments.

In the Certified Kubernetes Administrator Training, Nicholas brings his practical experience in managing production-grade clusters and integrating DevOps pipelines for AI/ML workflows. His instruction focuses on real-world scalability, performance monitoring, and IaC automation—key components for mastering Kubernetes administration. Learners benefit from his ability to connect complex cloud-native technologies with hands-on problem-solving, ensuring readiness for CKA certification and real-world deployment challenges.

Mohan Pothula: Mohan Pothula is an accomplished Enterprise Architect with over 20 years of experience leading digital transformation and AI adoption across financial institutions and large-scale enterprises. He has designed and modernized data platforms at DBS Bank, SPH, and Mediacorp, integrating AWS-based architectures, microservices, and CI/CD automation to support big-data analytics and AI initiatives. His expertise covers cloud migration, data governance, real-time analytics, and secure architecture design aligned with banking and regulatory standards.

Within the AWS Certified Machine Learning Specialty Training, Mohan bridges enterprise data strategy with ML engineering best practices. He guides participants in architecting end-to-end machine learning systems—from data ingestion and model training to deployment on AWS services like S3, SageMaker, Lambda, and Redshift—ensuring solutions are both scalable and compliant for enterprise adoption.

Truman Ng: Truman Ng is a certified AI and network engineering professional with a multidisciplinary portfolio spanning machine learning, blockchain, cybersecurity, and automation. A graduate in Electrical and Electronic Engineering from NUS and a PMP®-certified project manager, he holds multiple credentials including Huawei HCIE®, Cisco CCNP, and Certified Bitcoin Professional (CBP). His teaching portfolio covers Python, TensorFlow, Docker, CI/CD pipelines, and RPA systems, reflecting deep competence in both software engineering and IT infrastructure.

Leveraging his cross-domain expertise, Truman connects the Agentic AI Apps curriculum to real-world deployment pipelines—from model orchestration to containerized agent systems. His sessions emphasize modular design, security, and scalability, preparing learners to deploy CrewAI- and Autogen-based applications efficiently across cloud or on-premise environments..