Course Overview
Participants in this accelerated on-demand course learn about the extensive and adaptable platform and infrastructure services offered by Google Cloud. Through video lectures, demonstrations, and hands-on laboratories, participants learn about and implement solution features such as managed services, infrastructure automation, load balancing, autoscaling, and securely connecting networks.
Pre-requisites
Participants must finish Google Cloud Fundamentals: Introduction before they can benefit fully from this course. Core Infrastructure or possess comparable expertise. possess rudimentary knowledge of Linux operating systems and command-line tools. possess knowledge of system operations, including the deployment and management of applications in a private or public cloud environment.
Audience Profile
DevOps engineers and architects of cloud solutions. People who use the Google Cloud, with an emphasis on Compute Engine, to develop new solutions or combine already-existing systems, application environments, and infrastructure
Learning Objectives
- Examine the different options to interconnect networks to enable you to connect your infrastructure to Google Cloud.
- Explore Google Cloud's load balancing and autoscaling services.
- Learn about infrastructure automation services to automate the deployment of Google Cloud infrastructure services.
- Review managed services in Google Cloud.
Content Outline
This module introduces the Architecting with Google Compute Engine course series. This course series is for cloud solution architects, DevOps engineers, and anyone interested in using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Compute Engine.
Connect your infrastructure to Google Cloud
Configure load balancers and autoscaling for VM instances
Automate the deployment of Google Cloud infrastructure services
Leverage managed services in Google Cloud.
FAQs
A: The vocabulary and fundamental ideas for using Google Cloud are introduced in Google Cloud Fundamentals: Core Infrastructure. This course introduces and contrasts many of Google Cloud's computing and storage services, as well as critical resource and policy management tools, through videos and practical exercises.
A: Google docs, Pixlr, and Jaycut are the few top cloud service applications.
A: Cloud-based development generally refers to making and deploying cloud apps, a type of highly evolved web app. App development mainly used to require long-hours and large amounts of data for traditional programming through archaic languages like ADA, COBOL, and PASCAL.
A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
A: We would always recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
A: Radiant Techlearning has a data center containing a Virtual Training environment for participants' hand-on-practice.
Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to learn from anywhere and in any time zone.
A: The learners will be enthralled as we engage them in the natural world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.