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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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Google Cloud

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  • A Google Cloud Associate is an accountable engineer that is responsible for deploying and securing applications and infrastructure, monitoring operations of numerous projects, and maintaining enterprise solutions to assure that they meet objectives. To turn into a knowledgeable Google Cloud Associate, you need to have well prior experience, and knowledge of public clouds and on-premises solutions.
  • In the past few years, Google Cloud Associate Training has been in huge demand majorly because of its exceptional features. If you also want to know what a Google Cloud Associate Engineer does then you must read this segment till the end, and step ahead to get started with the Associate Cloud Engineer Certification to kick-start your career in this field.

Google Cloud Associate Online Training

About-Us-Course

  • The Google Cloud Associate Training program will assist you to become confident in working with numerous GCP services. You will eventually learn how to deploy vigorous applications on the same platform. You will also learn some effective practices for building dependable applications on GCP.
    • Along with imbibing theoretical and practical information of Google Cloud Associate Training, here, our trainers will help you acquire some necessary skills as well.

      By the end of Google Cloud Associate Online Training, you will get to know about GCP services, how to use GCP management tools, be proficient in configuring/managing GCP services, analyzing the role of a Google Cloud Associate, along with its practices.

      You will acquire in-depth information concerning GCP, and its fundamentals.

      Our team will also help you know about Google Cloud Console, GCP management tools, Google Cloud Associate exam, how to deploy robust apps on GCP, etc.

  • Post completing the Google Cloud Associate Online Training in India, candidates can get loads of job opportunities in the cloud computing field. In fact, you will get the chance to earn quite a heavy amount by offering your services to a company.
    • So, if you wish to pursue your career in a field that offers immense growth and numerous opportunities, then you should definitely get started with the Associate Cloud Engineer Certification respectively.

      Over the years, the demand for Google Cloud-Associates has increased, and in the coming years as well, it will increase.

      So, by obtaining Associate Cloud Engineer Certification, you will turn into a skilled Google Cloud Engineer, Google Cloud Developer, GCP trainer, Google Cloud-Associate engineer, etc.

  • Where salary structure is concerned, post acquiring this valuable GCP Associate Cloud Engineer Training, you will surely be offered quite an impressive salary package.
  • Well, obtaining Google Cloud Associate Training will anyway help you in the coming years, which will uplift your career graph in numerous ways. So, taking its professional guidance would be an ideal step towards your career.
    • Likewise, on the other hand, an experienced Google Cloud Associate makes around Rs. 12,70,000 to Rs. 15,00,000 annually.

      Whereas the demand for skilled Google Cloud Associates is concerned, then it's increasing with each passing day. This is majorly due to an increase in the adoption rate of GCP in the market.

      As per various job sites like- Naukri and Indeed, a Google Cloud Associate makes quite a lot of money by offering his services to a company.

      To be accurate, a fresher Google Cloud Associate earns around Rs. 2,00,000 LPA to Rs.4,00,000 yearly.

  • There are various reasons to get started with Google Cloud Associate Training. One of the significant ones is its never-ending demand and vibrant scope. Its accuracy in analysing trends is also one of the most highlighted features. In fact, it comprises more such exceptional features and benefits that make it more desirable amongst the youth to take up the GCP Associate Cloud Engineer Training, and to build a career in it.
  • Moreover, scroll down to know some more highlighting valid reasons.
    • It will therefore uplift your firm's productivity.

      In fact, it will also lessen the chance of breaches.

      You will be able to use its unmatched security features.

      By acquiring Google Cloud Associate Online Training, you will be offered a better salary package.

  • A Google Cloud Associate has to perform several duties. So, if you also aspire to turn into a knowledgeable and skilled Google Cloud Associate Engineer, you must enroll in Google Cloud Associate Online Training in India to analyze its job roles in a much better way.
    • Deploying and implementing a cloud solution will also be counted as your main role.

      Your role will also comprise configuring access and security, planning and configuring a cloud solution, and assuring the successful operation of a cloud solution as well.

      Other than technical abilities, you will also have to help your team mates out and take in their suggestions to execute tasks smoothly.

      Your foremost duty will be to set up a solution environment.

  • Your role might also vary from company to company and handle different products, so you will have to be available for multi-tasking as well.

  • Presently, you will find various companies hiring experienced and fresher Google Cloud Associate Engineer. So, if you also want to become a Cloud Engineer, then you must get started with its Associate Cloud Engineer Certification respectively.
    • By enrolling in this certification program, you will get the chance to get settled in these companies.

      Withholding a legit Associate Cloud Engineer Certification in hand, you will always be treated and acquire a much higher salary structure than others.

      Google, Ericsson, Impetus, are some of the well-known organizations hiring skilled Google Cloud Associate Engineers.

  • Croma Campus is one of the best institutions offering GCP Associate Cloud Engineer Training that has been delivering quite a qualitative sort of training more than two decades now. And along with imparting theoretical information, it also helps you in shaping up your career.
    • You will find all our accreditations being widely acknowledged in the industry.

      Here, you will find more than 140 courses coming from different industries.

      You will also get the opportunity to learn any foreign or corporate course.

      Your base knowledge will also get strengthened.

      You might end up imbibing some new features concerning this direction.

Why you should enroll in Google Cloud Associate course?

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Plenary for Google Cloud-Associate Cloud Engineer

Track Week Days Weekends Fast Track
Course Duration 40-45 Days 7 Weekends 8Days
Hours 1 Hrs. Per Day 2Hrs. Per Day 6+ Hrs. Per Day
Training Mode Classroom/Online Classroom/Online Classroom/Online
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BATCH TIMINGS

Google Cloud-Associate Cloud Engineer Upcoming Batches

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27-Mar-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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                                              Yes, after the completion of 75% of your course, our team will put you through the interview procedures.

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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.

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                                              Real-life Case Studies

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

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                                              Assignment

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

                                              life time access

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

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                                              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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