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Course Details
Course Details
What You'll Learn
Topic 1: Core-Concepts
- What is Kubernetes
- Installing & Configuring kubectl for Linux
- Configuring Kubernetes in Minikube in Windows
- Configuring Kubernetes in Minikube in Linux
- Understanding PODS
- Creating First POD Configuration in YAML
- Understanding Commands and Arguments in Kubernetes
- Exposing Ports for PODS
- Generating Pod Manifests via CLI
Topic 2: Workloads & Scheduling
- Implementing Labels and Selectors
- Creating our first ReplicaSet
- Creating our first Deployment
- Rolling Back Deployments
- maxSurge and maxUnavailable
- Important Pointers - Deployments
- Generating Deployment Manifests via CLI
- Understanding DaemonSets
- Overview of NodeSelector
- Understanding Node Affinity
- Resource Limits
- Scheduling Pods without a Scheduler
- Taints and Tolerations
- Adapter Pattern
Topic 3: Services and Networking
- Creating Service and Endpoints
- Using Selectors in Service
- Service Type: NodePort
- Service Type: Load Balancer
- Generating Service Manifest via CLI
- Installing Helm
- Deploying our first Helm Chart
- Creating Ingress Resource
- Deploying Ingress Controller
- Kubernetes Namespace
- Overview of Service Accounts
- Service Accounts - Points to Note
- Service Accounts- Practical Scenerios
- Named Port
Topic 4: Security
- Authenticating with K8s using Tokens
- Overview of Authorization
- ClusterRole and ClusterRole Bindings
- Creating TLS Certificate for Authentication
- Kubernetes Secrets
- Mounting Secrets Inside Pods
Topic 5: Storage
- Storage-Section-Introduction
- Introduction-to-Docker-Storage
- Storage-in-Docker
- Volume-Driver-Plugins-in-Docker
- Container.Storage-Interface
- Volumes
- Persistent-Volumes
- Persistent-Volume-Claims
- Using-PVC-in-PODs
- Storage-Class
Topic 6: Cluster Architecture, Installation & Configuration
- Configuring Cluster with kubeadm
- Upgrading kubeadm Clusters
- Steps to install and configure Kubernetes
- Breakdown Learning
- ETCD Backup and Restore
- Understanding Network Policies
Topic 7: Logging and Monitoring
- Kubernetes Events
- Field selectors
- Deploying Metric Server
Topic 8: Troubleshooting
- Application-Failure
- Control-Plane-Failure
- Worker-Node-Failure
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate 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 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-2023039343.
- 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 Certified Kubernetes Administrator (CKA) and enterprise architect with more than 20 years of experience leading digital transformation, cloud modernisation and DevOps adoption. In senior architecture roles at DBS Bank, SPH Media and Mediacorp, he designed cloud-native architectures, microservices ecosystems and data modernisation frameworks on AWS, Azure and Kubernetes. He has implemented CI/CD pipelines, infrastructure as code and container-based deployment with Docker and Jenkins, always with an eye on secure architecture aligned with banking and regulatory standards. He also holds certifications in AWS Solutions Architecture and Cloudera Administration, combining technical depth with a strategic understanding of how organisations adopt new platforms. His expertise extends to cloud migration, data governance and real-time analytics platforms, and his background in Linux administration, networking and virtualisation gives him a thorough understanding of the infrastructure beneath cloud native systems. As a mentor and technical lead, he has guided engineering teams in adopting scalable cloud architectures and automated delivery.
In WSQ - Kubernetes and Cloud Native Associate (KCNA) Training, Mohan introduces the cloud native ecosystem through hands-on Kubernetes practice. Learners configure kubectl and Minikube, create pods from YAML manifests, and work with labels, selectors, ReplicaSets, Deployments and DaemonSets. They expose applications through Services, deploy a first Helm chart and Ingress controller, explore namespaces and service accounts, and learn the essentials of authentication, authorisation, Secrets and storage, before looking at logging, monitoring and troubleshooting. Mohan places each concept in the context of the enterprise platforms he has architected, explaining how cloud native practices such as microservices, automation and continuous delivery change the way teams build and run software. He also takes time to clarify the terminology and design principles that associate-level candidates need, so that learners can reason about scenarios rather than memorise definitions. Short hands-on exercises reinforce each idea, so that participants who are new to containers finish the course having actually created, exposed and inspected workloads on a working cluster. Participants gain a well-rounded foundation for the KCNA exam and the vocabulary and practical confidence to contribute to cloud native and DevOps initiatives in their organisations.
Dr. Alfred Ang is a technology leader and hands-on DevOps practitioner certified as both a Certified Kubernetes Administrator (CKA) and a Certified Kubernetes Application Developer (CKAD). He is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, the company behind Tertiary Courses, which he founded. He applies cloud native practices to his own products: the ai-mms platform that handles course registration for the Singapore, Malaysia and Ghana sites is containerised with Docker and deployed via Coolify, his tertiarytraining platform gives learners browser-based Docker labs that start on demand and shut down when idle, and his GitHub Actions pipelines automate release on every push. His experience spans system architecture, security, observability and performance optimisation 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 a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS, is an IBM certified instructor for the AI Practitioners course, and is an ACTA-certified trainer and DACE-certified curriculum developer. He has also published more than 20 peer-reviewed papers and co-invented more than 20 US patents, and he brings an engineer's rigour to explaining how complex systems behave. He also founded Tertiary Robotics in 2015 and Tertiary Courses Malaysia, and he is known for translating complex technologies into practical, industry-aligned learning for professionals and organisations.
In WSQ - Kubernetes and Cloud Native Associate (KCNA) Training, Dr. Ang introduces the cloud native ecosystem through practical Kubernetes work. Learners configure kubectl and Minikube on Linux and Windows, create pods from YAML manifests, and work with labels and selectors, ReplicaSets, Deployments and DaemonSets. They expose applications with Services, deploy a first Helm chart and Ingress controller, explore namespaces and service accounts, and learn the essentials of authentication, authorisation, TLS certificates, Secrets and storage, before turning to logging, monitoring and troubleshooting. He explains why organisations adopt microservices, automation and continuous delivery, using his own multi-site deployment as a case study in how one codebase can be run reliably for several markets. His teaching is deliberately hands-on: every concept is tried on a working cluster, so the terminology needed for the associate exam is anchored in experience. Because he holds both the CKA and CKAD, he can also show learners what professional-level Kubernetes work looks like and how to progress towards it. He also places Kubernetes within the wider cloud native landscape, explaining where container runtimes, observability tools and continuous delivery fit and how open-source communities drive the ecosystem forward. He uses scenario-based questions to help learners apply each concept rather than simply recall definitions. Learners from non-technical backgrounds are supported with clear analogies, while those with more experience are challenged with extension tasks. Participants leave with a strong foundation for the KCNA exam and for cloud native roles. See his 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 across sectors such as telecommunications, banking and logistics. Holding certifications in AWS, Kubernetes and Docker, Chong Yong is recognised for his ability to design scalable, resilient and secure containerised systems.
In WSQ Kubernetes and Cloud Native Associate (KCNA) Training, Chong Yong draws on this experience, focusing on managing Kubernetes clusters, performing upgrades and securing workloads, to build learners' understanding of how Kubernetes clusters are run in practice. Learners start with core concepts, setting up kubectl and Minikube, creating pods and writing YAML manifests, then move on to workloads and scheduling, including ReplicaSets, Deployments, rollbacks, DaemonSets, node affinity, resource limits, and taints and tolerations. Later topics cover services and networking, security, storage and cluster architecture. His sessions emphasise declarative configuration, network policies and persistent storage integration, blending theory with live demonstrations. Learners leave with a solid, hands-on foundation in Kubernetes and the cloud-native ecosystem, and the confidence to deploy and maintain Kubernetes environments in line with best practice and certification requirements.
Milton Sim is an experienced DevOps engineer and cloud computing specialist with more than 17 years of expertise in system integration, automation and infrastructure management. He has worked with organisations to design and deploy cloud-native applications using Kubernetes, Docker and CI/CD pipelines. A certified Kubernetes professional and ACLP-qualified trainer, Milton is dedicated to helping learners master container orchestration through structured, hands-on instruction. As a trainer, he concentrates on the operational side of Kubernetes: cluster configuration, resource management and service networking.
In WSQ Kubernetes and Cloud Native Associate (KCNA) Training, Milton brings this operational focus to a broad foundation in Kubernetes and cloud-native computing. Learners begin with core concepts, installing kubectl, configuring Minikube, creating pods and working with YAML manifests and commands. They then explore workloads and scheduling through labels and selectors, ReplicaSets, Deployments, DaemonSets, node affinity, resource limits, and taints and tolerations, before moving on to services and networking, security, storage and cluster architecture. His sessions emphasise automation, scaling and monitoring of containerised workloads, using real-world use cases and practical labs. Participants gain the confidence and technical skills to understand, deploy and manage Kubernetes clusters efficiently, and a firm footing in the concepts behind the cloud-native ecosystem.
Nicholas Lu is a DevOps and cloud infrastructure engineer with extensive experience in Kubernetes, container management and cloud-native application deployment. He has designed and maintained distributed systems across multi-cloud environments, focusing on automation, performance optimisation and infrastructure security. Nicholas is skilled in using Helm, Terraform and Jenkins to streamline DevOps pipelines and simplify Kubernetes operations at scale. As a trainer, he takes learners from cluster setup and workload scheduling through to role-based access control (RBAC) and cluster security.
In WSQ Kubernetes and Cloud Native Associate (KCNA) Training, Nicholas guides learners through the foundations of Kubernetes and cloud-native computing. Learners start with core concepts, configuring kubectl and Minikube, creating pods and writing YAML manifests, then move on to workloads and scheduling, including ReplicaSets, Deployments, DaemonSets, node affinity, resource limits, and taints and tolerations. Later topics cover services and networking, security, storage and cluster architecture, where his focus on infrastructure security is especially relevant. His sessions highlight best practices in managing containers and securing clusters, combining clear explanations with practical exercises. Learners develop a well-rounded, hands-on understanding of Kubernetes and the cloud-native ecosystem, and the confidence to pursue the KCNA certification and further Kubernetes study.
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