Kubeflow Essentials: Build, Train & Serve with Kubernetes Training Course

This live, instructor-led training in Thailand (delivered online or on-site) is tailored for advanced platform engineers and DevOps professionals seeking to master application scaling via microservices and Kubernetes.

By the conclusion of the program, participants will have the capability to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications across Kubernetes clusters.
• Utilize Helm charts for streamlined service deployment.
• Monitor and maintain the operational health of production microservices.
• Apply security and compliance best practices within a Kubernetes environment.

This instructor-led, live training in Thailand (online or onsite) is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of the session, participants will have gained the knowledge to secure Kubernetes environments and container-based applications throughout the various stages of an application's life cycle: build, deployment, and runtime.

Over the course of seven days, this intensive programme offers an immersive, hands-on experience in the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will delve into the creation of scalable microservices architectures, the optimisation of container environments, and the management of production workloads within Kubernetes. The curriculum addresses advanced deployment tactics, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

Significant emphasis is placed on addressing real-world operational complexities, such as incident response, failure simulation, and root cause analysis. The programme culminates with the application of AI-driven tools to facilitate troubleshooting and enhance the speed of operational decision-making.

Upon completion, participants will possess a thorough understanding of constructing, deploying, monitoring, and sustaining resilient distributed systems within a Kubernetes-based infrastructure.

Master the essentials of containers, Kubernetes, and OpenShift through a practical, hands-on training program tailored for developers, DevOps engineers, and IT specialists. This course equips participants with the skills to create containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to enhance application delivery within both cloud and hybrid infrastructure settings.

Gain expertise in building, deploying, and administering containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on course covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will develop the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

In this instructor-led live training in Thailand, available onsite or remotely, participants will learn to create and manage Docker containers and deploy a sample application. The session also covers automating, scaling, and managing containerized applications within a Kubernetes cluster. Finally, the training delves into advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

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

• Configure and execute a Docker container.
• Deploy containerized server and web applications.
• Construct and administer Docker images.
• Establish a Docker and Kubernetes cluster.
• Leverage Kubernetes to deploy and manage clustered web applications.
• Implement security, scaling, and monitoring strategies for a Kubernetes cluster.

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

This live, instructor-led session held in Thailand (online or onsite) is tailored for engineers seeking to utilize Helm to enhance the efficiency of installing and managing Kubernetes applications.

Following this training, attendees will possess the skills to:

• Perform the installation and configuration of Helm.
• Generate reproducible builds for Kubernetes applications.
• Distribute applications in the form of Helm charts.
• Deploy third-party solutions packaged as Helm charts.
• Handle the release lifecycle of Helm packages.

This instructor-led, live training in Thailand (delivered online or onsite) is tailored for developers and data scientists seeking to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of the session, participants will be able to:

• Install and configure Kubeflow for both on-premise and cloud deployments.
• Develop, deploy, and oversee ML workflows using Docker containers and Kubernetes.
• Execute full machine learning pipelines across diverse architectures and cloud environments.
• Use Kubeflow to launch and manage Jupyter notebooks.
• Create ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training delivered in Thailand (either online or on-site) caters to beginner to intermediate-level software developers and DevOps professionals seeking to learn how to establish and manage local Kubernetes environments using Minikube.

By the end of this course, participants will be equipped to:

• Install and configure Minikube on their local systems.
• Comprehend the basic principles and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube interface.
• Implement persistent storage and networking solutions for Kubernetes.
• Apply Minikube for the development, testing, and debugging of applications.

This instructor-led, live training session, conducted in Thailand (online or on-site), is designed for intermediate-level developers and DevOps engineers aiming to integrate Minikube into their development processes.

By the conclusion of this training, attendees will have the capability to:

• Configure and administer a local Kubernetes environment via Minikube.
• Comprehend the deployment, management, and debugging of applications on Minikube.
• Incorporate Minikube into their continuous integration and deployment workflows.
• Streamline development operations by utilizing Minikube's advanced features.
• Adopt best practices for local Kubernetes development.