Google Associate Cloud Engineer

Google Associate Cloud Engineer


Undeniably, Google Cloud is among the fastest-growing cloud company. The IT giant has its clouds spread all over the globe with legions of users. To let everybody master working on their technology, Google offers Google Associate Cloud Engineer certification. 7NetworkServices provides the right training and guidance to the candidates which helps them in attaining this certification.

The Google Associate Cloud Engineer training program by 7NetworkServices covers all the basic and advanced concepts of this certification easing the students in clearing this examination. With the right combination of theoretical knowledge and practical training, the students can become proficient in not only their knowledge but their application of skills as well. 

What You Will Learn in Google Associate Cloud Engineer Training? 

  • 7NetworkServices’ Google Associate Cloud Engineer Training course aims to grand the following skills to the candidates. 
  • Setting Up Google Cloud Accounts
  • Using Google Cloud Platform Services including computing engine, and cloud storage.
  • Managing Billing Configuration
  • Section Summary
  • Establish Billing Alerts
  • Installation of Cloud SDK
  • Planning Cloud Solution
  • Compare Compute Options
  • Review Network Options
  • Architecture Review
  • Implementation of Cloud Solution
  • Cloud Security

Google Associate Cloud Engineer Training Course Curriculum

1. Setting up a cloud solution environment
    1.1 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
    1.2 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
    1.3 Installing and configuring the command-line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).
2. Planning and configuring a cloud solution
    2.1 Planning and estimating GCP product use using the Pricing Calculator
    2.2 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
    2.3 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)
    2.4 Planning and configuring network resources. Tasks include:
        Differentiating load balancing options
        Identifying resource locations in a network for availability
        Configuring Cloud DNS
3. Deploying and implementing a cloud solution
    3.1 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
    3.2 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
    3.3 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)
    3.4 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)
    3.5 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)

    3.6 Deploying a solution using Cloud Marketplace. Tasks include:
        Browsing Cloud Marketplace catalogue and viewing solution details
        Deploying a Cloud Marketplace solution
    3.7 Deploying application infrastructure using Cloud Deployment Manager. Tasks include:
        Developing Deployment Manager templates
        Launching a Deployment Manager template
4. Ensuring successful operation of a cloud solution
    4.1 Managing Compute Engine resources. Tasks include:
        Managing a single VM instance (e.g., start, stop, edit the 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)
    4.2 Managing Google Kubernetes Engine resources. Tasks include:
        Viewing current running cluster inventory (nodes, pods, services)
        Browsing the container image repository and viewing container image details
        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)

    4.3 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)
    4.4 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)
    4.5 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)
    4.6 Monitoring and logging. Tasks include:
        Creating Stackdriver alerts based on resource metrics
        Creating Stackdriver custom metrics
        Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
        Viewing and filtering logs in Stackdriver
        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
5. Configuring access and security
    5.1 Managing identity and access management (IAM). Tasks include:
        Viewing IAM role assignments
        Assigning IAM roles to accounts or Google Groups
        Defining custom IAM roles
    5.2 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
    5.3 Viewing audit logs for the project and managed services.

Who Can Take Google Associate Cloud Engineer?

  • System Admins who want to learn the implementation of Google Cloud
  • App Developers willing to integrate Google Cloud on their apps
  • Cloud Architects

Prerequisites Required for Google Associate Cloud Engineer

Google is among those companies that believe in flexibility. With that thing in mind, there are no formal prerequisites required for this training program. However, it is advised to have basic cloud computing and coding knowledge. Moreover, having six months of experience working with Google Cloud can help in understanding the concepts effectively. 

Mode of Training

  • Classroom Training

    7NetworkServices provides instructor-led classroom training for Google Associate Cloud Engineer. The candidate has to physically visit the 7NetwokrServices certified institutes to polish their skills. Classroom training helps the students in learning in a well-maintained environment where they will be accompanied by like-minded students who are only there for the learning. Such mode of training is available in Ghaziabad, New Delhi, Mumbai, Chennai, Hyderabad, Gurugram, Greater Noida, Bengaluru, and Pune.

  • Online Training

    Online training is a learning method where you do not have to leave your house for learning. The entire course will be covered on the internet where you need to attend the online lectures. 7NetworkServices have some of the best trainers in the industry that will not only share book knowledge but will also pass on their experience learning allowing the students to have training like none other. Students can take online classes for Google Associate Cloud Engineer certification from India, Egypt, Canada, the US, UK, China, Japan, South Korea, South Africa, Oman, UAE, Kenya, Philippines, Australia, and many other parts of the world.

Highlights of Google Associate Cloud Architect Training and Certification Course

  • Only certified training with several years of industry experience
  • Pick any type of training you want; be it classroom training or online training
  • Prepare yourself for the job interviews with the interview training included in every course
  • Practice your training with 24X7 access to our labs    
  • Manage your time better by choosing either weekend or regular classes
  • Hands-on Experience on genuine equipment for enhanced understanding

Reasons to Consider 7Network As Your Training Partner

  • 24*7 Online Access Guidance for Working Professionals
  • Only Real Equipment and No Simulator Used
  • Experienced Professional Instructor.
  • 100% Placement Assurance to Each and Every Candidate
  • Flexible Batch Timings 7-Days (8:00 AM To 10:30 PM)
  • Trusted By 12,000+ Students And 200 + Colleges.
  • Join7NetworkServices Take Your Career from Associate to Higher Level
  • Live Virtual Online Classes

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