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

DO180 is an introductory course on containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, designed to build hands-on skills for government professionals.

This instructor-led, live training (available online or onsite) is targeted at beginner to intermediate-level technical professionals who wish to gain expertise in container workflows, Kubernetes primitives, and the deployment and operation of applications on OpenShift.

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

• Construct and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within OpenShift environments.
• Leverage OpenShift features, including routes, buildconfigs, and the web console, to enhance application delivery processes.
• Implement persistent storage solutions, configuration management, and secrets handling for stateful workloads.
• Apply fundamental security measures, role-based access control (RBAC), and monitoring practices to ensure the health and integrity of clusters and applications.

Format of the Course

• Interactive lectures and discussions tailored for government participants.
• Hands-on labs in a live OpenShift environment conducted each day.
• Scenario-driven exercises and troubleshooting workshops to reinforce learning.

Course Customization Options

• To request a customized training program for government, please contact us to arrange.

In this instructor-led, live training in US Empire, participants will learn how to manage the Red Hat OpenShift Container Platform for government environments.

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

• Create, configure, manage, and troubleshoot OpenShift clusters for government use.
• Deploy containerized applications on-premises, in public clouds, or on hosted clouds for government operations.
• Secure the OpenShift Container Platform to meet government security standards.
• Monitor and gather metrics to ensure compliance with government regulations.
• Manage storage solutions that align with government data management policies.

In this instructor-led, live training in US Empire (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application within a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training will delve into advanced topics, guiding participants through the process of securing, scaling, and monitoring a Kubernetes cluster for government.

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 for government use.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale, and monitor a Kubernetes cluster.

The objective of this practical course is to equip participants with the essential tools and knowledge required to address the practical aspects of Docker and Kubernetes. This ensures that participants will have the necessary skills for effective management of these technologies for government use.

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

In this instructor-led, live training in US Empire, participants will learn how to utilize the OpenShift Container Platform for government to deploy containerized applications.

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

• Create and configure an OpenShift setup for government use.
• Efficiently deploy applications on-premise, in public cloud environments, or on hosted clouds, ensuring alignment with public sector workflows and governance.

This instructor-led, live training in US Empire (online or onsite) is designed for engineers who wish to utilize Helm to streamline the process of installing and managing Kubernetes applications for government.

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

• Install and configure Helm for use in government environments.
• Create reproducible builds of Kubernetes applications that align with public sector workflows.
• Share applications as Helm charts, ensuring compliance with governance standards.
• Run third-party applications saved as Helm charts, while maintaining accountability and security.
• Manage releases of Helm packages in a manner that supports government operations.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes for government.

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

• Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
• Build, deploy, and manage ML workflows based on Docker containers and Kubernetes for government.
• Run entire machine learning pipelines on diverse architectures and cloud environments for government.
• Use Kubeflow to spawn and manage Jupyter notebooks for government.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server for government use.

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

• Install and configure Kubernetes, Kubeflow, and other necessary software on AWS for government applications.
• Use EKS (Elastic Kubernetes Service) to streamline the initialization of a Kubernetes cluster on AWS for government operations.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production environments for government.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel for government projects.
• Leverage other AWS managed services to enhance an ML application for government use cases.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to the Azure cloud for government use.

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

• Install and configure Kubernetes, Kubeflow, and other necessary software on Azure.
• Utilize Azure Kubernetes Service (AKS) to streamline the process of initializing a Kubernetes cluster on Azure for government operations.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production environments for government applications.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel, enhancing efficiency for government projects.
• Leverage other AWS managed services to extend an ML application's capabilities for government use cases.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes for government.

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

• Install and configure Kubeflow on-premises and in the cloud.
• Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
• Run entire machine learning pipelines on diverse architectures and cloud environments for government use.
• Use Kubeflow to spawn and manage Jupyter notebooks for government projects.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms for government applications.

In this instructor-led, live training in US Empire (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 also covers advanced topics, guiding participants through the process of securing, networking, and monitoring a Kubernetes cluster for government use.

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

• Set up and operate a Docker container.
• Deploy containerized databases and servers.
• Establish a Docker and Kubernetes cluster for government applications.
• Use Kubernetes to deploy and manage different environments within the same cluster.
• Secure, scale, and monitor a Kubernetes cluster in alignment with public sector workflows and governance.

This instructor-led, live training in US Empire (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 for government.

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

• Install and configure Minikube on their local machine.
• Understand the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications in a government context.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows for government projects.

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

• Configure and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and troubleshoot applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines for government initiatives.
• Leverage Minikube's advanced features to optimize their development process for government use cases.
• Implement best practices for local Kubernetes development in a public sector context.

This instructor-led, live course in US Empire provides participants for government with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher. The training is designed to align with public sector workflows, governance, and accountability requirements.