Cloud Computing & DevOps
GOOGLE Cloud Certification Training- CLOUD ARCHITECT
CertOcean’s Google cloud certification training is a course curated to meet the current industry benchmarks. The course is developed by the top industry experts to help you accomplish the Google Certification Exam in the first attempt. The training is conducted live and is taught by instructors who are themselves are a master in this domain. They will help you with hands-on experience regarding the Google cloud platform certification. This program will help you achieve the certification and start your career as a certified GCP Architect. Moreover, since this course is taught by the leading professionals in the same domain, you will ace your career with the skills taught during this course.
Why should you go for this Google cloud certification training?
As per reports, the average pay scale for a Cloud Architect is $127,500 annually. It proves that Google certified professional cloud architect is rather necessary for people who want to become successful in the same.
Google Cloud Professional certification is the third largest cloud player as per the total market share. With this Google cloud platform certification, you can become a part of the global pool of the Google cloud.
As per research, Google Cloud Professional has the technical capabilities to increase the market share from 3% to 13% by the end of 2020. With this Google cloud certification training, you can ace your career ahead of other competitors and become a certified Google Cloud.
Learning Objective: This module of the Google cloud platform certification covers details about Google’s Global Infrastructure. It teaches about regions, zones, and projects in the GCP infrastructure.
Google Cloud Platform (GCP) Infrastructure
Storage and Database offering
Big data and AI services
Basics of GCP Project
Introduction to Primitive role
Learning Objective: This module teaches learners how to manage GCP using the console and command-line tools such as Cloud Shell, Gcloud, Gsutill.
Managing the GCP environment with the GCP console
Control GCP environment using CLI
GCP environment management using Cloud Shell
GCP environment management using G-cloud
GCP environment management using Gsutil
Install and configure cloud SDK
Learning Objective: This section covers the GCP networking concept and setting up a network topology.
Cloud Virtual Network
Virtual Private Network
Virtual Private Cloud
Proxies / Gateway and Endpoints
Firewalls and Routers
Learning Objective: This module teaches about Identity and Access Management using several tools offered by the Google Cloud Platform.
Understand Identity and Access Management (IAM)
Understanding Organizations, Roles, Members, Service accounts, Policy
Understanding different role and permission
Creating a custom role
Basic IAM APIs
Key Management Systems
Resource Sharing and Isolation
Learning Objective: This module educates individuals about how to create and manage virtual machines.
Understand Compute Engine
Understand & implement Compute options such as vCPU and Memory in verse to workload
Persistent disk – HDD, SSD
Common Compute Engine actions
Learning Objective: This section teaches you about the different data storage services offered by the Google Cloud Platform.
Understand Cloud Storage – Nearline, Coldline
Cloud Spanner, Cloud Datastore
How to choose a storage option including its Pros and cons
Understanding Billing aspect of storage options
The tradeoff of storage options
Integration with on-premises/multi-cloud environment
Learning Objective: In this section, you will learn the deployment, management, and scaling procedures of containerized applications on Kubernetes.
Understand Containers and their benefits
Kubernetes Engine, Container Registry
How to use Kubernetes Load Balancing
How to choose App Engine, Containers, or Kubernetes Engine on Compute Engine
Learning Objective: In this section, you will learn how to develop and execute different data processing patterns of Data flow and also study cluster management.
Stream and Batch processing
Apache Beam SDK
Monitoring using Stackdriver
Data transformation with Cloud Data flow
Working with Dataproc
Automation of jobs
Learning Objective: In this module, you learn how to employ Google Cloud Platform for the development, deployment, debugging, and monitoring of applications.
Images, Metadata, Scripts, Infrastructure automation, & Google Cloud API
Cloud Functions, Cloud Source Repositories, Cloud Pub and Sub, API Management, & Specialty APIs
How to use Google Stackdriver, including Overview, Integration, Monitoring, Logging, Error reporting, Tracing
Learning Objective: This module details how to use the GCP DevOps service for CI/CD using Jenkins. It also includes a section entailing how to debug using Stakcdriver in a DevOps environment.
Set up CI/CD
Setting up Jenkins on Container engine
Deploy the application on Jenkins
Create deployment pipeline in Jenkins
Create and Deploy on cluster
Deploy development and production environment
Analysis & Troubleshooting
Learning Objective: In this section, you will learn about different metrics about data migration to GCP.
Collect & Analyze metrics
Choose & evaluate an automation framework for addressing resources in the Google Cloud
Create a Migration Plan
Learning Objective: This section details case studies provided by Google for the GCP Architect exam and includes sample statements as well.
Understand JencoMart case study
Understand Mountkirk Games case study
Understand Dress4Win case study
Understand TerramEarth case study
This Google cloud platform certification covers topics that are strictly in line with the original exam conducted by Google. The course starts with the basics of cloud computing and includes topics like GCP core infrastructure, how to manage GCP services such as GCP security services, GCP networking services, GCP IAM, GCP compute services, GCP database services, etc. It helps learners cover how to use the command tools, import data into Google cloud storage, and execute queries for data analysis. A Google certified professional cloud architect will teach you everything you need to know about the exam and helps you practice the same as well. Also, post completion of the course, you will be more experienced and learned, joining the league of other Google Certified Cloud Architects.
Google Cloud certification training is one of the most prestigious certifications provided to individuals who want to scalpel a career in Google Cloud Platform, ranked as the world’s third-largest and most popular cloud provider. Google Cloud Platform is highly renowned since the trillion-dollar search engine, Google, and largest video platform, YouTube, are hosted on it. This means that applications hosted on Google Cloud Platform will share the same speed and scalable infrastructure used by Google products.
After opting for this certification to become a Google certified professional cloud architect, learners will be able to:
Comprehend Google Cloud Platform ideas and phrasings
Comprehend GCP items and administrations
Learn strategies to create, execute, and send arrangements
Recognize highlights of comparative or related items and innovations
Figure out how to function with the Compute Engine, Cloud Storage, Cloud SQL, and Big Query GCP administrations
Oversee GCP conditions utilizing three distinct strategies (Console, App, Command-Line)
Create information on arrangement designs - strategies, advances, and plans that are utilized to actualize security, adaptability, high accessibility, and other wanted characteristics
Comprehend rudiments of Big Data and Machine Learning administrations of GCP
CertOcean’s Google Cloud Platform certification is specially designed by IT professionals who want to pursue a career in Cloud Computing and become a Google Cloud Platform Architect Expert. This course is a must for:
Experts who need to begin their profession in the Google cloud stage
Experts who need to show up for Google Cloud Certification test – Cloud Architect
AWS Solution Architect or Microsoft Azure Architect who needs to comprehend Google Cloud Platform
People utilizing Google Cloud Platform to make new arrangements or to incorporate existing frameworks, move application conditions and foundation with the Google Cloud Platform
For all the projects, you can use the lab environment created for the Google Cloud certification training.
Instructor-led live sessions
36 Hours of Online Live Instructor-led Classes. Weekend class: 12 sessions of 3 hours each.
Real-life Case Studies
Live project based on any of the selected use cases, involving the implementation of the various Google Cloud concepts.
Each class will be followed by practical training sessions for a better hands-on experience.
Students will get lifetime access to all the course materials where presentations, quizzes, installation guides, and class recordings are available.
24/7 expert support
We provide 24/7 support to all the students, thereby resolving technical queries.
Once you complete your final project, you will receive the Google cloud certification training from CertOcean.
Frequently Asked Questions (FAQs):
Candidates will never miss lectures in CERTOCEAN's Google Cloud Platform certification as they have the option to either view the recorded session or to attend the next live batch.
Our team is with each student 24/7. They need not worry about anything. Just ask your queries about one of the Google cloud certification training and we will make sure that it gets solved as soon as possible.
We hope that till now you have seen any of our study clips. And we think that's all because you need not look further as we are good at keeping promises. We promise to enhance your growth in the automation field to receive a Google Cloud Platform certification.
We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries.
CertOcean's Google cloud certification training will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration.