Docker and Kubernetes Training
Our Docker and Kubernetes training teaches attendees to build, manage, and deploy applications using containers to store all necessary software elements. Students learn how to use Kubernetes (K8s) to schedule and run containers in the cloud, locally, or both.
Web Age is proud to be an authorized training partner with The Linux Foundation, which allows us to provide CKA (Certified Kubernetes Administrator) certification training and other official certification classes.
This Docker and Kubernetes course teaches attendees the building blocks of Docker and Kubernetes, two of the most important technologies for building and deploying containerized applications.
This Kubernetes (K8s) course goes beyond the fundamentals to teach attendees how to manage software updates, use access logs to troubleshoot issues, set up deployments, check health, and more.
This intensive Docker and Kubernetes training course teaches attendees theoretical concepts and real-world skills solidified with hands-on labs, allowing students to apply their knowledge. This course covers Kubernetes and Docker fundamentals and briefly introduces Continuous Integration.
This course combines the GL340 Docker and KBS101 Kubernetes Administration courses.
Participants will first understand the core features of Docker including: container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, advanced Docker networking (how to safely expose container services to the world, and link containers), the use of Docker volumes to manage persistent data, and Docker Compose to build multi-container applications. Emphasis is placed on best practices and how to secure Docker installations and containers.
The second part of the course introduces participants to the basic concepts and architecture of Kubernetes, its initial install & setup, Kubernetes Pods, deployments and services, persistent storage, networking, automating deployment, scaling & management of containerized applications, the Kubernetes Helm Package Manager and finally it's logging and monitoring facilities.
This course doesn’t only prepare delegates for the daily administration of Docker & Kubernetes systems but also for the official Certified Kubernetes Administrator (CKA) exam of the Cloud Native Computing Foundation (CNCF).
This Kubernetes training course teaches developers how to containerize, host, deploy, and configure an application in a multi-node cluster.
This Kubernetes course is the first step in learning about container cluster operations. Attendees are introduced to containers and Kubernetes and learn how to deploy a two-tier application into Kubernetes.
This Kubernetes (K8s) course teaches attendees how to create, manage, and deploy a K8s application. It is also excellent preparation for the Certified Kubernetes Administrator (CKA) certification. The CKA exam is a hands-on, performance-based exam administered by the Linux foundation that tests the ability to administer Kubernetes clusters.
This Kubernetes (K8s) course teaches attendees the architecture behind Kubernetes and how to design and manage K8s clusters.
This advanced Docker course teaches attendees to orchestrate multi-container deployments, fortify their container security, and streamline image size for optimized workflows. They will gain a strong foundation in container orchestration tools like Docker Swarm and Kubernetes.
This Google Kubernetes Engine (GKE) training teaches attendees the architecture and core components of Kubernetes and GKE. Students learn how to build and deploy containerized applications on GKE using gcloud and kubectl command-line tools.
This CI/CD and Microservices in Python training teaches attendees how to automate their software delivery pipeline with Python and GitHub Actions while building and deploying modern microservices applications using Flask.
This K8sGPT training class teaches IT professionals, DevOps engineers, and Kubernetes administrators how to use K8sGPT efficiently in their environments. By the end of the course, learners will be able to deploy, configure, and leverage K8sGPT to enhance cluster reliability, reduce downtime, and streamline incident response.