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

This instructor-led, live training in India (online or onsite) is designed for advanced-level platform engineers and DevOps professionals aiming to master application scaling through microservices and Kubernetes.

Upon completion of this training, participants will be able to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Leverage Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production environments.
• Apply security and compliance best practices within a Kubernetes environment.

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

Upon completion, participants will understand how to secure Kubernetes environments and container-based applications across the various stages of the application lifecycle: build, deployment, and runtime.

This 7-day programme offers an immersive, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to craft scalable microservices architectures, refine container environments, and manage production workloads effectively using Kubernetes. The curriculum delves into sophisticated deployment strategies, GitOps-driven automation, and observability techniques essential for ensuring robust system performance and reliability.

Particular emphasis is placed on tackling real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The course wraps up by introducing AI-powered tools designed to aid in troubleshooting and expedite operational decision-making processes.

Upon completion, participants will possess a clear grasp of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

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.

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.

In this instructor-led live training conducted in India (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within a container. Additionally, participants will learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training concludes with advanced topics, guiding participants through 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.

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

This instructor-led, live training in India (online or on-site) is designed for engineers who want to utilize Helm to simplify the installation and management of Kubernetes applications.

Upon completion 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.

This live, instructor-led training in India, offered online or onsite, is designed for developers and data scientists looking to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will have the ability to:

• Install and configure Kubeflow in on-premise and cloud environments.
• Construct, deploy, and manage ML workflows leveraging Docker containers and Kubernetes.
• Run full machine learning pipelines on diverse architectures and cloud setups.
• Use Kubeflow to initiate and manage Jupyter notebooks.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training in India (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.

This instructor-led, live training in India (online or onsite) is tailored for intermediate-level developers and DevOps engineers who wish to utilize Minikube as 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.