Getting Started with Google Kubernetes Engine

Course Modality

Instructor-led (classroom)

Course Level

Beginner

Course Time

1 day

Course Language

English

Course Overview

This one-day instructor-led class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

Prerequisites

  • No perquisite courses. Familiarity with application development, Linux operating systems, systems operations, and Docker containers or Kubernetes is helpful in understanding the technologies covered.

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Intended Audience

  • Solutions developers, systems operations professionals, and solution architects planning to deploy applications and create application environments on GKE. Executives and business decision makers evaluating the potential of GKE to address business needs.

Why The DataTech Labs ?

Self-Paced Online Video

A 360-degree learning approach that you can adapt to your learning style

A 360-degree learning approach that you can adapt to your learning style

Engage and learn more with these live and highly-interactive classes alongside your peers

24/7 Teaching Assistance

24/7 Teaching Assistance Keep engaged with integrated teaching

Online Practice Labs

Projects provide you with sample work to show prospective employers.

Applied Projects

Real-world projects relevant to what you’re learning throughout the program

Learner Social Forums

A support team focused on helping you succeed alongside a peer community

Skill Covered

  • Get acquainted with: containers and Docker, Kubernetes orchestration basics, deploying  to  Kubernetes, and setting up continuous delivery pipelines using Kubernetes.

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