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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

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Guaranteed

Training Format

Live Online /Self-Paced/Classroom

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Google Cloud

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  • 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 won’t 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 firm’s 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

Why Should You Do Google Cloud Associate Certification Training?

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Plenary for Google Cloud-Associate Cloud Engineer

TrackWeek DaysWeekendsFast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training ModeClassroom/OnlineClassroom/OnlineClassroom/Online
Course Price at :
18,000 20,000
10% OFF Expires in01D 08H 53M 23S

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BATCH TIMINGS

Google Cloud-Associate Cloud Engineer Upcoming Batches

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12-Dec-2022*

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05-Jan-2023

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CURRICULUM & PROJECTS

Google Cloud-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. This individual has experience working with public clouds and on-premises solutions. They are able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
  • In this program you will learn:
    • Setting up a Cloud Solution Environment

      Planning and Configuring a Cloud Solution

      Deploying and Implementing a Cloud Solution

      Ensuring Successful Operation of a Cloud Solution

      Configuring Access and Security

Get full course syllabus in your inbox

  • Setting up a Cloud Solution Environment
    • 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)

                    Get full course syllabus in your inbox

                    • Planning and Configuring a Cloud Solution
                      • 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., on-premises 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-in-time)

                                      Viewing Google Cloud Platform status

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

                                  Get full course syllabus in your inbox

                                  • Configuring Access and Security
                                    • 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.

                                  Get full course syllabus in your inbox

                                  + More Lessons

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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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                                  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 will learn from an experienced Google Cloud-Associate engineer

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

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                                  • - 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.

                                  formate
                                  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

                                  instructore

                                  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

                                  Earn your certificate

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