Master Architecting with Google Compute Engine: Comprehensive Course Guide

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Architecting with Google Compute Engine Course Overview

The Architecting with Google Compute Engine certification verifies a professional's ability in design, development, and management of robust, secure, scalable and dynamic solutions using Google Cloud technologies. This certification is all about understanding Google’s computational infrastructure - from implementing end-to-end data solutions, managing Kubernetes clusters, network architectures to costing control. Industries use this certification to establish an employee's capabilities in leveraging Google Cloud technology for business solutions. A certified individual can architect with security and reliability in mind, manage operational aspects, adapt solutions to a business-approach, and define a technical process for successful product or solution launch. It is foundational for professionals looking to make a mark in cloud computing.


This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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You will learn:

Module 1: Introduction to Google Cloud
  • List the different ways of interacting with Google Cloud.
  • Use the Cloud Console and Cloud Shell.
  • Create Cloud Storage buckets.
  • Use the Google Cloud Marketplace to deploy solutions.
  • List the VPC objects in Google Cloud .
  • Differentiate between the different types of VPC networks.
  • Implement VPC networks and firewall rules.
  • Implement Private Google Access and Cloud NAT.
  • Recall the CPU and memory options for virtual machines.
  • Describe the disk options for virtual machines.
  • Explain VM pricing and discounts.
  • Use Compute Engine to create and customize VM instances.
  • Describe the Cloud IAM resource hierarchy.
  • Explain the different types of IAM roles.
  • Recall the different types of IAM members.
  • Implement access control for resources using Cloud IAM.
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
  • Choose a data storage service based on your requirements.
  • Implement data storage services.
  • Describe the cloud resource manager hierarchy.
  • Recognize how quotas protect Google Cloud customers.
  • Use labels to organize resources.
  • Explain the behavior of budget alerts in Google Cloud.
  • Examine billing data with BigQuery
  • Describe the services for monitoring, logging, error reporting, tracing, and debugging.
  • Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
  • Use Cloud Debugger to identify and fix errors.
  • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
  • Determine which Google Cloud interconnect or peering service to use in specific circumstances.
  • Create and configure VPN gateways.
  • Recall when to use Shared VPC and when to use VPC Network Peering.
  • Recall the various load balancing services.
  • Determine which Google Cloud load balancer to use in specific circumstances.
  • Describe autoscaling behavior.
  • Configure load balancers and autoscaling.
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
  • Outline the Google Cloud Marketplace.
  • Describe the managed services for data processing in Google Cloud.
Live Online Training (Duration : 24 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Architecting with Google Compute Engine
Course Prerequisites
• Good understanding of cloud computing and its concepts
• Familiarity with Google Cloud Platform (GCP) and its products/services
• Knowledge on solution/infrastructure designing
• Basic understanding of software development lifecycle
• Hands-on experience with GCP
• Proficiency in networking, storage, data processing, and security.
• Skills in system management and administration.

Architecting with Google Compute Engine Certification Training Overview

The Architecting with Google Compute Engine certification training is a course aimed at professionals seeking to gain a comprehensive understanding of Google Cloud architecture and Google Cloud Platform. Topics covered in the course include configuring Google Cloud, design and deployment of Google Cloud solutions, managing, configuring, and connecting networks, automating infrastructure, and ensuring successful operations of cloud solutions. This training provides knowledge and skills to leverage Google Cloud technologies in designing, developing, and managing robust, secure, and dynamic solutions.

Why Should You Learn Architecting with Google Compute Engine?

Learning Architecting with Google Compute Engine can enhance technical skills in cloud architecture, network design and data storage. It provides knowledge in managing and scaling workloads, helping learners to effectively use GCP tools for businesses. Relevant stats show an increased demand for these abilities, potentially leading to lucrative job prospects.

Target Audience for Architecting with Google Compute Engine Certification Training

- IT professionals interested in enhancing cloud computing skills
- System administrators working on Google Cloud Platform
- Cloud solution architects seeking in-depth understanding
- Network engineers focused on Google Cloud infrastructure
- Business professionals aiming to leverage Google Cloud services
- Google Cloud users seeking advanced level knowledge
- Data engineers and developers desiring Google Cloud command proficiency.

Why Choose Koenig for Architecting with Google Compute Engine Certification Training?

- Certified Instructor: Train with experts who hold relevant Google certification.
- Boost Your Career: Improve job prospects and climb the career ladder.
- Customized Training Programs: Programs tailor-made to meet precise learning needs.
- Destination Training: Option to learn on-site, choose from multiple locations globally.
- Affordable Pricing: Quality training at a cost-effective price.
- Top Training Institute: Recognized worldwide for its extensive training programs.
- Flexible Dates: Choose training dates that suit your schedule.
- Instructor-Led Online Training: Learn from anywhere with an internet connection.
- Wide Range of Courses: Covering various IT domains and latest technologies.
- Accredited Training: Authorized by leading IT certification bodies.

Architecting with Google Compute Engine Skills Measured

After completing Architecting with Google Compute Engine certification training, an individual can obtain skills like managing cloud architecture, setting up and configuring Google Cloud projects, creating compute instances, automating project deployments, managing network architectures, creating hybrid systems, integrating applications with Compute Engine services, and securing applications by implementing IAM and service accounts. It also develops their competency in utilizing Google Cloud Console and Cloud Shell, Practice Network, and VPC Management.

Top Companies Hiring Architecting with Google Compute Engine Certified Professionals

Top companies hiring professionals certified in Architecting with Google Compute Engine include tech giants, Google, IBM, and Amazon. Renowned IT solutions firms like Infosys and Accenture, as well as newer tech-driven entities such as Airbnb and Spotify, are also actively seeking these specialists, primarily for roles in cloud engineering and data architecture.

Learning Objectives - What you will Learn in this Architecting with Google Compute Engine Course?

This course aims to equip learners with crucial skills in leveraging Google Cloud technologies for architectural solutions. The objectives include: understanding the variety of Google Cloud's computing and storage services, creating and executing Google Compute Engine instances, configuring storage in Google Cloud, and managing Compute Engine networks. It also targets to learn the techniques for load balancing, automating applications deployment, and making applications highly available. Participants should also grasp how to configure access and security controls, optimize applications and infrastructure for cost effectiveness, and use Google Cloud's operations suite for monitoring and logging. By the end of the course, learners should be able to envisage, design and implement Google Cloud system architecture solutions.
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Suraj Rawat
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United States
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FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
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