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Become an expert in setting up a cloud solution environment. Enroll now to learn from a Google Cloud engineer.

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Course Duration

30 Hrs.

Live Project

2 Project

Certification Pass

Guaranteed

Training Format

Live Online /Self-Paced/Classroom

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Google Cloud

Speciality

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250+

Professionals Trained
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3+

Batches every month
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20+

Countries & Counting
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100+

Corporate Served

  • Google Cloud Platform, aka GCP, is a robust suite of public cloud services from Google. The platform features a range of different services like computing, storage, etc. The services of the cloud platform can be easily accessed by anyone over the internet or via a network connection. The biggest reason behind the ever-increasing popularity of GCP is that it is highly secure and reliable. Moreover, the platform has an uptime of 99.99%.
  • Things you will learn:
    • Fundamentals of GCP

      Various GCP services

      How to deploy apps on GCP

      GCP best practices

      Different GCP management tools

      How to manage GCP resources

      How to work on Google Cloud Console

  • The Google Cloud-Associate training program is for upcoming Google Cloud associates who wish to master this robust platform.
  • Prerequisites:
    • Basic computer knowledge

      Basic knowledge about GCP

      Passion for learning

      Basic knowledge about Google Cloud Platform services

  • This course is for:
    • GCP newbies

      Aspiring Google Cloud associates

      Engineering graduates

      AWS solutions architects

      Students who wish to clear the Google Cloud Associate exam

Google Cloud-Associate Cloud Engineer

About-Us-Course

  • The Google Cloud-Associate training program will help you become confident in working with different GCP services. Furthermore, you will learn to deploy robust apps on the platform. You will also learn best practices for developing reliable apps on GCP.
    • Help students acquire in-depth knowledge of GCP

      Help students master GCP fundamentals

      Make students comfortable in using Google Cloud Console

      Provide in detail knowledge of GCP management tools

      Prepare students to clear the Google Cloud Associate exam

      Make students comfortable in deploying robust apps on GCP

      Provide in-depth knowledge about the Google Cloud platform

      Help students learn the fundamentals of GCP

      Help students learn about the vital duties of a Google Cloud Associate

  • Our Google Cloud- Associate trainers, will help you:
    • Become competent in working with GCP services.

      Learn how to utilize GCP management tools.

      Become an expert in configuring/managing GCP services.

      Understand the responsibilities of a Google Cloud Associate.

      Become a competent Google Cloud Associate.

      Understand how to deploy apps with GCP.

      Understand GCP best practices.

  • Demand for competent Google Cloud associates is increasing with each passing day. This is largely due to an increase in the adoption rate of GCP in the market. According to popular job sites such as Naukri and Indeed, a Google Cloud-Associate earn a lot of money by providing his services to a company.
  • As per Ambition Box, a Google Cloud-Associate can earn approx. 2,00,000 LPA to 4,00,000 per year as a fresher. On the other hand, a Google Cloud-Associate with experience can earn around 12,70,000 to 15,00,000 per year.

  • After doing the Google Cloud Associate training program, students can get lots of job opportunities in the cloud computing industry. Moreover, you can earn a hefty amount of money by providing your services to a company. In short, becoming a Google Cloud-Associate can be very beneficial for you.
  • Roles that you can take after doing Google Cloud Associate training:
    • Google Cloud Engineer

      Google Cloud Developer

      GCP trainer

      Google Cloud-Associate engineer

  • The demand for competent Google Cloud-Associates is expected to further increase in the coming years. As a result, there will be a huge demand for skilled Google Cloud-Associate engineers in the market. Thus, if you wish to pursue your career in an industry that offers lots of growth and advancement opportunities, then you should definitely pursue your career in the cloud computing industry.

  • There is a significant increase in the number of firms using Google Cloud Platform for deploying their apps. This is largely due to the fact that the platform comes with an uptime of 99.99%, which means you wont face any problem if you use the platform for deploying your apps. Furthermore, you can also save a lot of money by using GCP.
  • Here are a few reasons why Google Cloud is so much in demand:
    • Highly reliable

      Easy to adapt

      Unmatched security

      Enhances firms productivity

      Reduces chances of breaches

  • A Google Cloud-Associate engineer plays a very critical role in a company. He deploys apps on the GCP and manages them. Moreover, he uses Google Cloud Console for doing platform-based tasks. In short, a Google Cloud-Associate performs lots of important duties and responsibilities in an organization and is a very important part of a company.
  • Key responsibilities of a Google Cloud Associate Engineer:
    • Setup GCP environment

      Deploy apps on Google Cloud Platform

      Configure cloud solutions

      Configure GCP access and security

      Mentor team members

      Ensure cloud solutions keep working without any problem

  • A Google Cloud-Associate engineer plays a very critical role in a company. He deploys apps on the Google Cloud Platform and monitors them. Moreover, he is responsible for setting up access and security options on the GCP. In short, a Google Cloud-Associate plays a very critical role in an organization. This is the main reason why Google Cloud-Associate engineers charge hefty fees for their services.
  • Top hiring companies for Google Cloud-Associate engineers:
    • Baseware

      RWS

      Maersk

      JPMorgan Chase Bank

      Accenture

      IBM

  • After completing the Google Cloud-Associate training program, you will get an industry-recognized training certificate issued by Croma Campus. The certification will help you validate your competency as a Cloud-Associate engineer and GCP expert. In addition to that, we will provide you services such as:
    • 100% placement support

      Interview grooming sessions

      Resume preparation

      Access to our job website

  • Advantages of getting certification:
    • Recognized certification

      Hefty remuneration

      Help you show your proficiency as a Google Cloud-Associate engineer

  • Know More About Associate Cloud Engineer Certifications: Click Here

Why Should You Do Google Cloud Associate Certification Training?

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Plenary for Google Cloud-Associate Cloud Engineer

Track Week Days Weekends Fast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training Mode Classroom/Online Classroom/Online Classroom/Online
Course Price at :
18,00020,000
10% OFF Expires in00D:00H:00M:00S

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Program Core Credentials

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Trainer Profiles

Industry Experts

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Trained Students

10000+

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Success Ratio

100%

Corporate Training

For India & Abroad

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Job Assistance

100%

BATCH TIMINGS

Google Cloud-Associate Cloud Engineer Upcoming Batches

WEEKDAY

14-Oct-2024*

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05-Nov-2024*

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WEEKDAY

16-Oct-2024*

Take class during weekdays and utilize your weekend for practice.

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WEEKDAY

07-Nov-2024

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12-Oct-2024

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19-Oct-2024*

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CURRICULUM & PROJECTS

Google Cloud-Associate Cloud Engineer

  • Setting up cloud projects and accounts. Activities include
    • Creating projects

      Assigning users to predefined IAM roles within a project

      Managing users in Cloud Identity (manually and automated)

      Enabling APIs within projects

      Provisioning one or more Stackdriver workspaces

  • Managing billing configuration. Activities include:
    • Creating one or more billing accounts

      Linking projects to a billing account

      Establishing billing budgets and alerts

      Setting up billing exports to estimate daily/monthly charges

  • Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project)
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  • Planning and estimating GCP product use using the Pricing Calculator
  • Planning and configuring compute resources. Considerations include:
    • Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)

      Using preemptible VMs and custom machine types as appropriate

  • Planning and configuring data storage options. Considerations include:
    • Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)

      Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)

  • Planning and configuring network resources. Tasks include:
    • Differentiating load balancing options

      Identifying resource locations in a network for availability

      Configuring Cloud DNS

Get full course syllabus in your inbox

  • Deploying and implementing Compute Engine resources. Tasks include:
    • Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys)

      Creating an autoscaled managed instance group using an instance template

      Generating/uploading a custom SSH key for instances

      Configuring a VM for Stackdriver monitoring and logging

      Assessing compute quotas and requesting increases

      Installing the Stackdriver Agent for monitoring and logging

  • Deploying and implementing Google Kubernetes Engine resources. Tasks include:
    • Deploying a Google Kubernetes Engine cluster

      Deploying a container application to Google Kubernetes Engine using pods

      Configuring Google Kubernetes Engine application monitoring and logging

  • Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:
    • Deploying an application, updating scaling configuration, versions, and traffic splitting

      Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)

  • Deploying and implementing data solutions. Tasks include:
    • Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)

      Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)

  • Deploying and implementing networking resources. Tasks include:
    • Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)

      Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)

      Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)

      Creating a VPN between a Google VPC and an external network using Cloud VPN

      Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)

  • Deploying a solution using Cloud Marketplace. Tasks include:
    • Browsing Cloud Marketplace catalog and viewing solution details

      Deploying a Cloud Marketplace solution

  • Deploying application infrastructure using Cloud Deployment Manager. Tasks include:
    • Developing Deployment Manager templates

      Launching a Deployment Manager template

Get full course syllabus in your inbox

  • Managing Compute Engine resources. Tasks include:
    • Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)

      SSH/RDP to the instance

      Attaching a GPU to a new instance and installing CUDA libraries

      Viewing current running VM inventory (instance IDs, details)

      Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)

      Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)

      Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)

  • Managing Google Kubernetes Engine resources. Tasks include:
    • Viewing current running cluster inventory (nodes, pods, services)

      Working with node pools (e.g., add, edit, or remove a node pool)

      Working with pods (e.g., add, edit, or remove pods)

      Working with services (e.g., add, edit, or remove a service)

      Working with stateful applications (e.g. persistent volumes, stateful sets)

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing App Engine and Cloud Run resources. Tasks include:
    • Adjusting application traffic splitting parameters

      Setting scaling parameters for autoscaling instances

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing storage and database solutions. Tasks include:
    • Moving objects between Cloud Storage buckets

      Converting Cloud Storage buckets between storage classes

      Setting object life cycle management policies for Cloud Storage buckets

      Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)

      Estimating costs of a BigQuery query

      Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)

      Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing networking resources. Tasks include:
    • Adding a subnet to an existing VPC

      Expanding a subnet to have more IP addresses

      Reserving static external or internal IP addresses

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Monitoring and logging. Tasks include:
    • Creating Stackdriver alerts based on resource metrics

      Configuring log sinks to export logs to external systems (e.g., onpremises or BigQuery)

      Viewing specific log message details in Stackdriver

      Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-intime)

      Viewing Google Cloud Platform status

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Get full course syllabus in your inbox

  • Managing identity and access management (IAM). Tasks include:
    • Viewing IAM role assignments

      Assigning IAM roles to accounts or Google Groups

      Defining custom IAM roles

  • Managing service accounts. Tasks include:
    • Managing service accounts with limited privileges

      Assigning a service account to VM instances

      Granting access to a service account in another project

  • Viewing audit logs for project and managed services.
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Projects

Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards. Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.
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Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals

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FAQ's

  • Basic computer knowledge
  • Basic knowledge about GCP
  • Passion for learning
  • Basic knowledge about Google Cloud Platform services

You can complete Google Cloud-Associate training in 35-45 days

You can earn around ₹4,00,000 – ₹15,00,00 PA.

Career Assistancecareer assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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Google Associate Cloud Engineer (GCP)

Google Associate Cloud Engineer Exam focuses to develop hands-on skills needed to set up and manage Google Cloud (GCP) applications and become a Google Certified Associate Cloud Engineer. An Associate Cloud Engineer deploys applications, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics.

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Format

Multiple Choice and Multi-Response Questions

growth
Type

Proctored Exam

cost
Cost

$125 USD

time
Time

120 Minutes

delivery
No of Questions

50 Questions

language
Passing Score

70% and above

Training Features

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Instructor-led Sessions

The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.

real life

Real-life Case Studies

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

assigment

Assignment

Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

life time access

Lifetime Access

Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.

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24 x 7 Expert Support

With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

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Certification

Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.

Training Certification

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Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.

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