• Home
  • WSQ - AWS Certified DevOps Engineer Professional Training

WSQ AWS Certified DevOps Engineer Certification Prep (Synchronous e-Learning)

Course Information

  • Sessions 4 days
  • Duration 32 hrs
  • Level Advanced
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Solution Architecture
TSC Code
ICT-DES-4006-1.1

Learning Outcomes

By end of the course, learners should be able to:

  • Develop a AWS CI/CD pipelines proof of concept.
  • Identify the technical and practical requirements in a AWS cloud infrastructure setup.
  • Develop a resilient cloud solution based on AWS cloud components.
  • Implement regular AWS monitoring and perform necessary troubleshooting.
  • Demonstrate solutions to incidents and business problems on AWS cloud.
  • Prepare a technical blueprint to address security and compliance.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

Free Certificate Practice Exams

Take Free Certificate Practice Exams at exams.tertiaryinfotech.com.

You can also purchase Certificate exam vouchers at exams.tertiaryinfotech.com.

WSQ - AWS Certified DevOps Engineer Professional Training

Course Code: TGS-2025054815
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

Be the first to review this product

What's This Course About

Embark on a journey to mastering the AWS Certified DevOps Engineer exam with our comprehensive preparation course. Our expert instructors will guide you through the process of developing a proof of concept for AWS CI/CD pipelines, identifying technical and practical requirements for AWS cloud infrastructure setups, and developing resilient cloud solutions using AWS cloud components. You will gain hands-on experience and in-depth knowledge that will empower you to confidently tackle the exam.

In addition to the technical skills, this course will also equip you with the ability to implement regular AWS monitoring, perform necessary troubleshooting, and demonstrate solutions to incidents and business problems on the AWS cloud. You will also learn how to prepare a technical blueprint to address security and compliance requirements, ensuring you are well-prepared to excel in the AWS Certified DevOps Engineer exam and advance your career in the ever-evolving field of cloud computing and DevOps.

WSQ Funding

Full Fee $2,000.00 Before GST
GST $180.00 9% of fee
Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $780.00 SG age 40+ · 70% funded
WSQ Funding
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025054815)
  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us. 

Course FeeBefore Funding

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

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

Assessment

  • Written Exam
  • Practical Exam

Course Info

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:

 

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

Individual Sponsored Trainee Employer Sponsored Trainee
  • Singapore Citizens or Singapore Permanent Residents
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
  • Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

 SkillsFuture Credit: 

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

 PSEA:

  • To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
  • Scroll down to "Keyword Tags" to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.  
  • And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA. 
  • Not all courses are eligible for PSEA funding.

 Absentee Payroll (AP) Funding: 

  • $4.50 per hour, capped at $100,000 per enterprise per calendar year.
  • AP funding will be computed based on the actual number of training hours attended by the trainee.

 SFEC:

  • If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
  • Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
  • SkillsFuture Enterprise Credit (SFEC) Microsite 

 

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.

Job Roles

Job Roles

  • 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

Trainers

Trainers

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..

Review

Write Your Own Review

You're reviewing: WSQ - AWS Certified DevOps Engineer Professional Training

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment