Get in Touch

Frasers Tower

Level 17, 182 Cecil Street, Singapore 069547, Singapore, 069547

Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.

Only U Space

10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903

International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
NobleProg Training Place, City Signature Asia Square

Signature Asia Square

8 Marina View, #42-01 & #43-01 Asia Square Tower 1, Singapore , 018960

Easiest: MRT

The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.

  • Take the Downtown Line to Downtown MRT (DT17).
  • Use Exit G (the building's official site lists Exit G).
  • Walk toward Asia Square Tower 1 / 8 Marina View.
  • Enter Tower 1 and take the lift to Level 42 or 43

Other convenient stations:

  • Shenton Way (TE19) — about 2–5 min walk.
  • Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
  • Raffles Place (NS26/EW14) — about 6 min walk.

By bus

There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.

Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.

Subcategories (2)

Helm

Helm
Minikube

Minikube

Explore Our Courses

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

 21 Hours
This instructor-led, live training in Central focuses on deploying, orchestrating, and optimizing AI workloads on Kubernetes-based edge environments. It covers setting up lightweight distributions, managing connectivity, and tuning performance for constrained nodes. Ideal for advanced practitioners.
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AI-Driven Kubernetes Operations: Autoscaling, Scheduling & Resource Optimization

 21 Hours
Master AI-driven Kubernetes operations in Central with hands-on training. Apply ML for intelligent scheduling and autoscaling to optimize resource usage. Reduce costs and latency using predictive analytics and reinforcement learning models for real-world workloads.
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MLOps on Kubernetes: CI/CD Pipelines for Machine Learning

 14 Hours
This live training in Central helps intermediate practitioners build automated MLOps pipelines on Kubernetes. Participants design CI/CD workflows, implement GitOps strategies, and deploy ML models using containerized infrastructure for scalable, reproducible machine learning operations.
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Kubeflow Essentials: Build, Train & Serve with Kubernetes

 14 Hours
This hands-on training in Central equips you with the skills to build, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, author scalable pipelines, and manage production-ready workloads with best practices.
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AI Workloads on Kubernetes: Deploying Machine Learning Models at Scale

 14 Hours

     

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Monitoring Kubernetes with Prometheus and Grafana

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the end of this training, participants will be able to:

  • Set up Prometheus and Grafana for Kubernetes monitoring.
  • Monitor key metrics for pods, nodes, and services.
  • Create dynamic dashboards to visualize cluster health and performance.
  • Implement alerting strategies for proactive issue resolution.
  • Apply best practices for scaling monitoring solutions in Kubernetes environments.
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Kubernetes Fundamentals

 14 Hours
This live Kubernetes training in Central guides IT professionals through core concepts and hands-on lab work. Learn to deploy, scale, and manage containerized applications using kubectl, configure networking and storage, and troubleshoot clusters effectively.
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Kubernetes from Basic to Advanced (4 days)

 28 Hours

This instructor-led, live training in Central (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

By the end of this training, participants will be able to:

  • Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
  • Set up, install, and configure a Kubernetes cluster for container orchestration.
  • Learn how to execute Kubernetes operations using the command line tools.
  • Get a hands-on experience from basic to advanced Kubernetes operations and administration.
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Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led, live training in Central (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy containerized databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
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Kubernetes Comprehensive

 35 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

By the end of this training, participants will be able to:

  • Understand the Kubernetes architecture and its components.
  • Isolate resources effectively using Namespaces.
  • Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
  • Define computational resources using Requests and Limits.
  • Work with Jobs and CronJobs for scheduled tasks.
  • Understand Services and DNS within Kubernetes.
  • Expose applications using Ingress.
  • Manage ConfigMaps, Secrets, and Persistent Volumes.
  • Scale and upgrade Kubernetes clusters using advanced strategies.
  • Analyze and troubleshoot Kubernetes issues.
  • Deploy resources efficiently using Helm Charts.
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Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

By the end of this training, participants will be able to:

  • Design and implement scalable microservices architectures.
  • Deploy and manage applications on Kubernetes clusters.
  • Utilize Helm charts for efficient service deployment.
  • Monitor and maintain the health of microservices in production.
  • Apply best practices for security and compliance in a Kubernetes environment.
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Introduction to Containers, Kubernetes & OpenShift

 35 Hours

Learn the fundamentals of containers, Kubernetes and OpenShift in a practical, hands-on training designed for developers, DevOps engineers and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources and use OpenShift to streamline modern application delivery in cloud and hybrid environments.

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Introduction to Kubefirst

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

By the end of this training, participants will be able to:

  • Set up a Kubefirst development environment.
  • Write and run a basic Kubefirst program.
  • Annotate code with Kubefirst directives and clauses.
  • Use Kubefirst API and libraries.
  • Profile and debug Kubefirst programs.
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Minikube for Developers

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.

By the end of this training, participants will be able to:

  • Set up and manage a local Kubernetes environment using Minikube.
  • Understand how to deploy, manage, and debug applications on Minikube.
  • Integrate Minikube into their continuous integration and deployment pipelines.
  • Optimize their development process using Minikube's advanced features.
  • Apply best practices for local Kubernetes development.
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Introduction to Minikube and Kubernetes

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

  • Install and configure Minikube on their local machine.
  • Understand the basic concepts and architecture of Kubernetes.
  • Deploy and manage containers using kubectl and the Minikube dashboard.
  • Set up persistent storage and networking solutions for Kubernetes.
  • Utilize Minikube for developing, testing, and debugging applications.
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Docker and Kubernetes

 21 Hours

Training objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

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Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in Central (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy a containerized server and web application.
  • Build and manage Docker images.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage a clustered web application.
  • Secure, scale and monitor a Kubernetes cluster.
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Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led, live training in Central covers the Certified Kubernetes Administrator (CKA) exam. It provides hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. Ideal for admins seeking certification or practical cluster management skills.
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Kubernetes on Azure (AKS)

 14 Hours

In this instructor-led, live training in Central (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS. 

By the end of this training, participants will be able to:

  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Learn how to build, deploy and administer containerized environments using Docker, Kubernetes and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

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Kubernetes Advanced

 21 Hours
This instructor-led training in Central helps engineers automate, secure, and monitor large-scale Kubernetes clusters. You will learn to deploy multi-environment applications, implement high-availability strategies, and manage scaling and troubleshooting effectively.
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Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in Central prepares developers for the Certified Kubernetes Application Developer exam through hands-on labs. It covers designing, building, and securing cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
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Managing Kubernetes with Rancher

 14 Hours

This instructor-led, live course in Central provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

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Creating a Service Mesh with Istio and Kubernetes

 14 Hours
Master Istio on Kubernetes with this instructor-led course in Central. Learn to install, configure, and secure service meshes using mTLS and Zero Trust. Gain hands-on experience in traffic management, observability with Prometheus and Jaeger, and Calico integration for production-ready microservices.
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Kubernetes Design Patterns

 21 Hours
This 21-hour training in Central explores essential Kubernetes design patterns for microservices. Participants will learn foundational, behavioral, structural, and configuration strategies to build resilient, scalable, and cloud-native applications through hands-on live-lab exercises.
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Deploying Kubernetes Applications with Helm

 7 Hours

This instructor-led, live training in Central (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end of this training, participants will be able to:

  • Install and configure Helm.
  • Create reproducible builds of Kubernetes applications.
  • Share applications as Helm charts.
  • Run third-party applications saved as Helm charts.
  • Manage releases of Helm packages.
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Kubernetes and Gitlab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.

By the end of this training, participants will be able to:

  • Automate application builds, tests, and deployments.
  • Create an automated build infrastructure.
  • Deploy an application to a containerized cloud environment.
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Certified Kubernetes Security Specialist (CKS)

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

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Serverless on Kubernetes Fundamentals

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.

By the end of this training, participants will be able to:

  • Setup and configure the Kubernetes system to start developing with a serverless architecture.
  • Understand the concepts and principles foundational to serverless environments.
  • Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
  • Practice their skill in Python programming language and apply it to implement  serverless systems.
  • Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
  • Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
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Kubernetes Security

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.

By the end of this training, participants will be able to:

  • Understand the vulnerabilities that are exposed by a default Kubernetes installation.
  • Prevent unauthenticated access to the Kubernetes API, database, and other services.
  • Protect a Kubernetes cluster from accidental or malicious access.
  • Put together a comprehensive security policy and set of best practices.
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Cloud‑Native DevOps Mastery: Designing, Deploying & Operating Scalable Kubernetes Microservices

 49 Hours

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

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Container Sovereignty: Kubernetes Without Cloud Dependencies

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.

By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.

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Testimonials (4)

basic understanding of container/kubernetes and how they interact features of the openshift plattform

Eric Scholze - NOW IT GmbH

Course - Introduction to Containers, Kubernetes & OpenShift

Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.

Berk Ozdilek - Deutsche Bank

Course - Kubernetes Advanced

About the microservices and how to maintenance kubernetes

Yufri Isnaini Rochmat Maulana - Bank Indonesia

Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes

How trainer deliver knowledge so effectively

Vu Thoai Le - Reply Polska sp. z o. o.

Course - Certified Kubernetes Administrator (CKA) - exam preparation

Upcoming Courses

Kubernetes on Azure (AKS)

2026-11-16 09:30
14 hours
Frasers Tower
5454 SGD (Online)
10908 SGD (Classroom)

Monitoring Kubernetes with Prometheus and Grafana

2026-11-30 09:30
14 hours
Only U Space
4030 SGD (Online)
9484 SGD (Classroom)

Kubernetes Fundamentals

2026-12-14 09:30
14 hours
Signature Asia Square
4030 SGD (Online)
9484 SGD (Classroom)

Container Platforms Administration with Docker, Kubernetes and OpenShift

2026-12-28 09:30
35 hours
Frasers Tower
10075 SGD (Online)
23710 SGD (Classroom)

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Other Countries

These courses are also available in other countries

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Kubernetes Consulting
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