Course Details
Course Details
What You'll Learn
Topic 1 Docker Fundamentals
VM vs container
Docker commands
Create image with Dockerfile
Docker storage and networking
Topic 2 Docker Compose
Create Docker compose yml file
Create multi services using docker compose
Topic 3 Kubernetes Fundamentals
Kubernetes architecture
Core concepts of Kubernetes
Create pod, namespace and deployment
Topic 4: Advanced Kubernetes Concepts
Advanced concepts of Kubernetes
Create services, volumes and jobs
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- 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.
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- Docker Desktop – free for personal use
- Minikube – free
- kubectl – free
- Visual Studio Code – free
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2021010366.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
How to Apply UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
Job Roles
Job Roles
- DevOps Engineer
- Cloud Solutions Architect
- Software Developer
- Infrastructure Engineer
- Site Reliability Engineer (SRE)
- Systems Administrator
- IT Operations Specialist
- Platform Engineer
- Microservices Developer
- Release Manager
- Network Administrator (focusing on cloud-native applications)
- Continuous Deployment Specialist
- Backend Developer
- Cloud Security Specialist
- Container Orchestration Manager
Trainers
Trainers
Mohan Pothula is a DevOps specialist and enterprise architect with more than 20 years of experience, and he holds the Certified Kubernetes Administrator (CKA) certification. He has held senior architecture roles at DBS Bank, SPH Media and Mediacorp, where he led cloud migration and modernisation projects built on AWS, Azure and Kubernetes. His expertise includes containerisation with Docker, container orchestration with Kubernetes, CI/CD pipelines with tools such as Jenkins, infrastructure as code, Linux administration and microservices design. He holds further certifications in AWS Solutions Architecture and Cloudera Administration, and he is known for integrating applications into secure, automated platforms that meet banking and regulatory standards. He has implemented end-to-end DevOps solutions for enterprises, optimising application performance and automating deployment workflows across hybrid environments. As a mentor and technical lead, he has guided engineering teams in adopting scalable cloud architectures and CI/CD pipelines, and as an educator he emphasises real-world practices that unify software delivery, infrastructure management and automation.
In WSQ - Application Integration with Docker and Kubernetes, Mohan teaches learners to assess, containerise and integrate applications using the tools he relies on in enterprise DevOps work. Participants compare virtual machines with containers, master essential Docker commands, build images with Dockerfiles and configure Docker storage and networking. They write Docker Compose YAML files to run multi-service applications, then move on to Kubernetes architecture and core concepts, creating pods, namespaces and deployments, and finally services, volumes and jobs. Mohan draws on his microservices and cloud migration projects to show how container-based connections between services are planned, tested and secured, and how the same images flow through a CI/CD pipeline into a cluster. He also discusses how to decide which parts of an existing application are ready to containerise, and how to plan the move from a single host running Docker Compose to a Kubernetes cluster. Holding the CKA himself, he also prepares learners for the cluster-side work that follows integration, including how services, volumes and jobs behave once applications are running on Kubernetes. His hands-on, scenario-based sessions give participants the practical skills to integrate and manage scalable, resilient containerised applications in their own organisations.
Dr. Alfred Ang integrates applications with containers as part of his everyday work as a full-stack AI developer, Agentic AI solution architect and technology leader, and he holds both the Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD) certifications. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founder of Tertiary Courses, leading teams that deliver software as well as Skills Framework-aligned WSQ and IBF training. His ai-mms platform, an OpenMage LTS application on PHP 8.2 and MySQL, is packaged with Docker and deployed through Coolify for the Singapore, Malaysia and Ghana sites, and his self-hosted AI-LMS-TMS integrates with Singapore's SkillsFuture APIs and uses AI agents to automate work. He also built tertiarytraining, which manages on-demand Docker lab containers with role-based access, and he automates releases with GitHub Actions pipelines. His experience spans system architecture, API-driven systems, security and observability across AWS and Kubernetes, supported by AWS Certified Solutions Architect and Cloud Practitioner credentials and CompTIA Security+. He holds a PhD in Electrical Engineering from NUS and an MSc in Electrical and Electronic Engineering from NTU. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and he has published more than 20 peer-reviewed papers after a career in the defence, electronics and semiconductor industries. He also holds PMP, CSM and ITIL certifications, reflecting a structured approach to planning and delivering technology change.
In WSQ - Application Integration with Docker and Kubernetes, Dr. Ang teaches learners to assess, containerise and integrate applications with modern DevOps tools. Participants compare virtual machines and containers, master essential Docker commands, create images with Dockerfiles and configure Docker storage and networking. They write Docker Compose YAML files to run multi-service applications, then move to Kubernetes architecture and core concepts, creating pods, namespaces and deployments, and finally services, volumes and jobs. He uses his own multi-service platforms to show how an application is assessed before containerisation, how services find and talk to each other, and how persistent data is kept safe when containers are replaced. His CKA and CKAD experience helps learners see how a Compose-based setup maps onto Kubernetes objects when an application needs to scale. As an ACTA-certified trainer and DACE-certified curriculum developer, he builds each lab on the previous one, so learners finish with a working, integrated application running on Kubernetes. He also discusses practical integration concerns such as configuration through environment variables, health checks and service dependencies, and how the same images can move unchanged from a developer's laptop to a test environment and into production. Learners practise troubleshooting connection and storage problems so they can resolve integration issues independently. He also highlights security basics such as running containers with minimal privileges and keeping credentials out of images and source code. Participants leave able to containerise and integrate applications confidently in their own organisations. Browse his integration projects on GitHub at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Tan Chong Yong is a cloud solutions architect and DevOps specialist with over 15 years of experience in IT infrastructure automation, microservices deployment and container orchestration. He has implemented enterprise-level CI/CD pipelines and Kubernetes clusters for clients in sectors such as telecommunications, banking and logistics, and has designed and maintained cloud-native platforms using Docker, Kubernetes and microservices architecture for enterprise clients. Holding certifications in AWS, Kubernetes and Docker, he is recognised for designing scalable, resilient and secure containerised systems, with a strong background in systems engineering, virtualisation, system reliability and automation.
In WSQ Application Integration with Docker and Kubernetes, Chong Yong teaches participants how to assess, containerise and orchestrate applications across distributed systems. Learners start with Docker fundamentals, comparing virtual machines with containers, using essential Docker commands, building images with Dockerfiles, and managing storage and networking. They then define multi-service applications with Docker Compose before moving on to Kubernetes architecture and core concepts, creating pods, namespaces and deployments, and finally services, volumes and jobs. His sessions bring in container networking, persistent storage and CI/CD integration within Kubernetes clusters, reflecting his focus on simplifying complex infrastructure. With his practical and methodical approach, learners leave able to build and manage containerised solutions that improve agility and resource utilisation.
Truman Ng is a cloud infrastructure and automation engineer whose experience spans enterprise networking, DevOps and AI systems deployment. A PMP, ACTA and Huawei HCIE-certified professional, he has trained global teams in cloud operations, container orchestration and CI/CD best practices. His particular strength lies in integrating DevOps tools with AI and automation workflows to support enterprise-scale deployments, giving him a practical view of how containerised applications are built, shipped and run in production.
In WSQ Application Integration with Docker and Kubernetes, Truman provides a deep dive into container orchestration, service scaling and monitoring for production-grade environments. Learners begin with Docker fundamentals, comparing virtual machines and containers, using essential Docker commands, building images with Dockerfiles, and handling storage and networking. They go on to define multi-service applications with Docker Compose, then learn Kubernetes architecture and core concepts, creating pods, namespaces and deployments, before advancing to services, volumes and jobs. His sessions focus on deploying multi-container applications, managing clusters securely and optimising resource utilisation, drawing on his experience training teams in cloud operations and CI/CD. Learners come away with a clear grasp of the end-to-end workflow of building, deploying and maintaining containerised applications in cloud-native environments.
Dr. Alvin Ang is a data science and AI technology expert with more than two decades of experience in automation, software integration and scalable application design. His technical expertise extends to containerisation, MLOps and distributed computing frameworks, and he is a strong advocate of modern, efficient application deployment strategies. As CTO and Chief Instructional Designer at Tertiary Infotech, he has developed more than 500 accredited programmes in AI, data analytics and cloud technologies.
In WSQ Application Integration with Docker and Kubernetes, Dr. Ang helps participants assess, containerise and integrate applications using modern DevOps tools, with particular attention to applications that connect to analytics and automation systems. Learners start with Docker fundamentals, comparing virtual machines and containers, working with Docker commands, building images with Dockerfiles, and managing storage and networking. They then use Docker Compose to define multi-service applications, before moving on to Kubernetes architecture and core concepts, creating pods, namespaces and deployments, and finally services, volumes and jobs. His sessions show how AI-powered and data-driven services can be orchestrated with Docker and Kubernetes, emphasising modularity, scalability and fault tolerance. Through practical demonstrations, learners gain the skills to deploy and manage complex applications in dynamic environments.
Review
Customer Reviews (71)
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It would be good if there is an overview architecture figure/summary of the course (Posted on 10/7/2022)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 10/7/2022)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 - will recommend Review by Course Participant/Trainee
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It would be better to create pre-prepared notes in advanced and then show the demo and try out the tutorials in class steps by steps. So that it will be easier for others who do not have background knowledge. For additional information during class, it can be added as extra notes (Posted on 10/7/2022)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 - will recommend Review by Course Participant/Trainee
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Need to have sufficient resources for the k8s part. Room is dark and projection was difficult to see at first.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
Thanks and appreciate this course. It was great exposure for myself. (Posted on 9/30/2022) - will recommend Review by Course Participant/Trainee
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. (Posted on 9/30/2022)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
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