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Google Cloud Platform

Google Cloud Computing Training Courses

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Google Cloud Engineer Certification Live

Google Cloud Engineer Certification Live

in Google Cloud Platform
★★★★★ 5.00
33:20 Hours
16 Mar 2024
$283.20

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Google Cloud Computing Training Courses


Google cloud platform is a chamber of cloud framework assistance offered by Google. It has several services such as storage, machine learning, data analysis, cloud computation, etc. 


It is greatly appreciated for its usefulness, innovation performance, and scaling. Google cloud computing training essentially involves learning about the platform as well as its functions. 


The Google Cloud platform has many aspects platform such as IaaS, PaaS, Kubernetes engine, storage, AI, networking, and big query.  


Why Choose Google Cloud Computing Training 


As the name implies it comes from the tech giant Google. There are many reasons for choosing the Google Cloud course. 


They are mainly given below


1. The first and foremost reason for choosing this is the high performance and Scalability of this. 


2. GCP provides a global framework for instant connectivity, quick usage of applications and thus improving overall customer contentment.  


3. This offers a good scalable and safe environment for the businesses to work efficiently. 


4. This can quickly merge into the Google services easily for a smoother workflow. 


5. It is transparent and compatible with other technologies. 


 What You'll Learn in Google Cloud Platform Training 


There are many things that one is going to learn under the Google cloud computing course. This is a huge and assorted topic that primarily includes learning about several services offered by Google and how to use them to make your work easier and faster. 


The following are the major contents of this course 


1. IaaS, PaaS, Kubernetes engine, cloud storing, and Cloud SQL are some of the beginning aspects of this course. 


2. Learning beginner (VPC, subnets, firewalls, etc) as well as advanced (DNS, CDN, interconnect, etc) cloud networking solutions. 


3. Data storing (object storage) and databases (Cloud big table, cloud SQL)   


4. Data analysis and ML - Using Google tools such as big query (storing) and data flow (streaming and processing) to gain valuable knowledge from data.  


5. Safety for the data stored inside through Identity access management (encryption, regulating, etc)   


Types of services in GCP  

1. Compute - Computing is one of the important services offered by Google it includes the following. 

  A. Computing engine  

  B. Google Kubernetes Engine  

  C. Application engine 


2. Storing - The following are the storing services offered by GCP 

  A. Cloud storage  

  B. Persistent Disk  

  C. Cloud SQL  


3. Networking - GCP provides excellent connectivity for an organization with the below offerings

  A. Virtual Private Cloud  

  B. Cloud Load Balance  

  C. Cloud CDN 


4. Data analysis - The following are the data analysis services given under GCP  

  A. Big Query  

  B. Data flow  

  C. Pub/Sub 


5. Machine Learning - The below-mentioned are the significant ML services provided  

  A. Vertex AI platform  

  B. AI Platform Training  

  C. AI Platform Prediction  


6. Other services - The following are the other notable services supported by GCP 

A. Google Workspace - Google solutions such as Calendar, drive, sheets, Docs, Gmail, and so on.

B. Cloud Identity and Access Management - It can help to secure the overall IT infrastructure of an organization by managing the access everyone possesses. 



GoogleCloud Certification Path 


Google cloud computing course is a big curriculum that must be covered to get a perfect knowledge of each, and every utility provided by Google. 


The following are the important principles that govern the learning curve of GCP. 


1. Associate cloud engineer - This certification is proof of the Individual's capability in usage, supervision, and sustaining the GCP.  


2. Professional cloud architect - IT certifies a person's ability to design and structure the cloud framework of an organization in the Google Cloud platform. 

 

3. Professional data engineer - A GCP engineer's job essentially involves building the data system, and structuring and evaluating of the data using Google Cloud.  


4. Professional DevOps engineer - DevOps engineer's work is associated with the creation as well as maintaining CI/CD, automating and supervising logging.   


5. Professional Machine Learning Engineer - ML engineer Certified by Google is going to devise, execute, and control ML standards in Google Cloud.  


Hands-on Training 


Our Google Cloud certification is one of the most highly rated in the market. This is because of our hands-on approach. Our rigorous training and workshops make one well-rounded in every detail of the GCP. 


The practical labs that are open 24/7 Are available to you lifelong once you Enrol in them. Our expert instructors will motivate you to continuously work and progress by providing all the necessary resources. 


The live classes help us to keep a better track of our students and in turn, it is going to benefit you enormously.


 Career Opportunities


This Google cloud computing training is one of the highly job-ready courses that you are going to find in the market. Every company is involved with Google in one way or the other. 


They are going to need individuals well-trained in the Google cloud computing platform as well as its tools. Since it is a cheap and universally acknowledged platform. 


The following are a few of the careers that are going to need GCP certification. They are namely Google cloud engineer, Google cloud architect, data engineering, DevOps and the list goes on and on.    


Top 3 Google Cloud courses



Google Cloud Engineer Certification Live33 Hours

 

FAQ

IT is a study of the combination of various services offered by Google cloud platform such as PaaS, IaaS, SaaS etc.
IT professionals, students, developers and any Enthusiasts can Enroll in this course to learn more about Google cloud platform and its services
There are no prescribed requirements if you join on the base level courses however if you want to Enroll in advanced level you might want to have some deep knowledge in different aspects like Python, AI etc
A wide range of topics like data analysis, cloud computation, networking and many more will be covered under this particular course.
The difficulty will depend on the level of course you wish to join. The basic courses are easy to learn and understand.

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