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Associate Cloud Engineer (ACE ) Certification

This four-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform.

This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

    Ready to boost your cloud career? With Associate Cloud Engineer Certification Training you can strengthen your cloud knowledge, earn a digital certificate, and start preparing for an industry-recognized Associate Cloud Engineer Certificate.

    1:1 Coaching

    24*7 Support

    CloudLabs

    High Success Rate

    Globally Renowned PSTs Trainer

    Real-time code analysis and feedback

    Course Description

    Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

    An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is 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.

    Learning Objectives

    This course teaches participants the following skills:

    • Set up a Google Cloud environment, including billing accounts, projects, tools, access, and security.
    • Plan, configure, implement, deploy, monitor, and manage solutions in the Google Cloud.
    • Get familiar with using the Google Cloud through both the console and the command-line.
    • Build a strong foundation for other GCP certification exams.
    • Pass the Google Associate Cloud Engineer certification exam.

    Schedule

    Enroll your course with
    $1712
    Dec 14-17, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekdays
    Enroll your course with
    $1712
    Jan 10-13, 2022
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekdays
    Enroll your course with
    $1712
    Feb 14-17, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekdays
    Enroll your course with
    $1712
    Mar 15-18, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekdays
    Enroll your course with
    $1712
    Apr 25-28, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekdays

    Certification Curriculum

    Module 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 accountorganization that do not impede the Scrum Team.
      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).
    Module 2
    Planning and Configuring a Cloud Solution
    • 2.1 Planning and estimating GCP product use using the Pricing Calculator
    • 2.2 Planning and configuring computer 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
    Module 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 (G-cloud) (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
    Module 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 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 auto scaling 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 Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)
      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)
    Module 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 project and managed services.

    Prerequisites

    • Fundamental understanding of Google Cloud Platform products and services
    • Fundamental understanding of cloud concepts such as virtual machines, containers, and networking

    Download Brochure

    We offer GCP Associate Cloud Engineer Certification Training in Singapore aimed at beginning GCP Associate Cloud Engineer that can lead to your GCP Associate Cloud Engineer certification. Download the brochure and check the different Focus Areas covered within these 4 days of training.

    Download Brochure

    Certification Assessment

    The GCP Associate Cloud Engineer Training exam guide contains a complete list of topics that may be included on the exam. Review the exam guide to determine if your skills align with the topics on the exam. Familiarize yourself with the format of exam questions and example content that may be covered on the GCP Associate Cloud Engineer exam.

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    Training FAQ's

    Is this training conducted as an online/ virtual course?

    As a response to the COVID-19, we have moved our classes online. Our Live Virtual format delivers the same benefits as our face-to-face training: expert instruction, hands-on labs and exercises, peer-to-peer collaboration, and high-quality instructional material.

    If I cancel the enrollment, will I get a refund?

    Cancellation requests received within 24 hours of registration would be offered a full refund (minus payment gateway charges), please reach out to our support team through drop a refund request to enquiry@agilitics.sg. Visit our page for more details about Cancellation & Refund Policy.

    What Payment Options Are Available?

    The process of enrolling for this classroom training is simple. The payment can be made through different options by using a debit/credit card which includes MasterCard, Visa Card, American Express or through PayPal. Acknowledgment will be issued automatically via email to the candidates once payment is done.

    What are the modes of payment available for payment of accreditation fees?

    Payment can be made via credit card, debit card, UPI, and internet banking.

    Have more doubts?

    Please send in an email to enquiry@agilitics.sg, and we will answer any queries you may have!

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