Google Cloud Associate Engineer GCP Certification- CloudThat

Course Overview

This Google Cloud Associate certification training course from CloudThat aims to empower you with hands-on experience to be able to develop and deploy highly scalable applications on Google Cloud Platform (GCP). This is a certificate course, and a certificate will be provided after successful completion of the course.

After completing this course, students will be able to:

  • To attain a deep knowledge of GCP infrastructure and design patterns on developing applications on GCP.
  • To attain skills to clear the GCP Associate Cloud Engineer Certification Exam.

Upcoming Batches

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Key Features

  • Our Google Associate Cloud Engineer training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • Industry certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being an authorized Industry Learning Partner gives us the edge over competition.

Who Should Attend

  • IT Professionals who want to get formal hands-on training at using and developing Cloud based services
  • Software developers who want to start developing Cloud Applications
  • Startup companies who wishes to build their IT infrastructure in the Cloud at a fraction of the cost of traditional methods
  • System Admins who want to learn how to invoke resources in the Cloud and manage them
  • DBAs who want to be able to startup and manage databases in the Cloud with read replicas
  • Students who want to make their resumes more attractive to the prospective employees by having hands-on Cloud Computing experience


The prerequisites of Google Cloud Engineer Associate certification exam include:

  • Knowledge of basic unix / linux commands will be good to have.
  • Valid GCP account

Course Outline Download Course Outline

Introduction to Cloud​

    Types of Cloud Services ​

    • Compute Resources​
    • Storage​
    • Networking​
    • Specialized Services

    Cloud Computing Models (IAAS, PAAS, SAAS and FAAS)​

      Cloud Computing vs. Data Center Computing​


        • Google Cloud Platform Fundamentals Core Infrastructure​
        • Understanding Regions and Zones in Google Cloud Platform​
        • Budgets and Billing​
        • The Google Cloud Platform resource hierarchy​
        • Identity and Access Management (IAM)​
        • Cloud Marketplace (formerly Cloud Launcher)​

        Lab: Interacting with Google Cloud Platform​

        • Accessing the Cloud Console​
        • Projects in the Cloud Console​ing Your Costs with Google Cloud Billing Reports​
        • Navigation menu and services​
        • Roles and permissions​
        • APIs and services​

        Lab: Understanding and Analyzing Your Costs with Google Cloud Billing Reports​

          Lab: Getting Started with Cloud Marketplace (formerly Cloud Launcher)​

          • Sign into the Google Cloud Platform Console​
          • Use Cloud Marketplace to deploy a LAMP stack​
          • Verify your deployment​

          Lab: Cloud IAM​

          • Use Cloud IAM to implement access control​
          • Restrict access to specific features or resources​
          • Use the Service Account User role​ ​


          • What is virtual machine?​
          • Google Compute Engine​
          • Creating & Working with Virtual Machines​
          • Machine Types and images​
          • Instance Groups ​
          • Load Balancing (HTTP(S), SSL/TCP proxy, Network, Internal load balancing)​
          • Scalability vertical & horizontal scaling

          Lab: Running a basic Apache web server

          • Install Apache​
          • Test that VM is serving traffic on its external IP.

          Lab: Install Docker on Google Compute Engine

          • Install Docker​
          • Build docker image​
          • Access new machine​

          Lab: Create an Internal Load Balancer

          • Create HTTP and health check firewall rules​
          • Configure two instance templates​
          • Create two managed instance groups​
          • Configure and test an internal load balancer​


          • Introduction to Containers ​
          • Working with Pods, Services, and Controllers​
          • Introduction to Kubernetes​
          • Containers and Kubernetes in Google Cloud​


          • Deploying Google Kubernetes Engine​
          • Use the Google Cloud Console to build and manipulate GKE clusters


          • Introduction to App Engine​
          • Google App Engine Standard Environment​
          • Google App Engine Flexible Environment​
          • Understanding App Engine Component Hierarchy​
          • Services and Versions​
          • Traffic Splitting​

          Lab: Getting Started with the App Engine​

          • Initialize App Engine.​
          • Preview an App Engine application running locally in Cloud Shell.​
          • Deploy an App Engine application, so that others can reach it.​
          • Disable an App Engine application, when you no longer want it to be visible.​


          • Introduction to Cloud Functions​
          • Cloud Functions Receiving Events from Cloud Storage​
          • Cloud Functions Receiving Events from Pub/Sub​


          • Deploying a Cloud Function for Cloud Storage Events​
          • Deploying a Cloud Function for Cloud Pub/Sub Events Using Cloud Console

          Theory: Types of Storage Systems​

          • Cache
          • Persistent Storage​
          • Object Storage​

          Theory: Storage Types: When Planning a Storage Solution

            Theory: Introdcution to Storage Data Models ​

            • Object: Cloud Storage ​
            • Relational: Cloud SQL, Cloud Spanner, and BigQuery
            • NoSQL: Datastore, Cloud Firestore, and Bigtable ​

            Theory: Choosing a Storage Solution: Guidelines to Consider​

              Lab: Getting Started with Cloud Storage​

              • Deploy a web server VM instance​
              • Create a Cloud Storage bucket using the gsutil command line​
              • Configure an application in a Compute Engine instance to use a Cloud Storage object​

              Theory: Storage concepts such as:

              • Snapshots​
              • Standby​
              • Availability and Durability
              • RTO and RPO ​
              • Read Replicas​

              Lab: Implementing Cloud SQL​

              • Create a Cloud SQL database.​
              • Configure a virtual machine to run a proxy.​
              • Create a connection between an application and Cloud SQL. ​
              • Connect an application to Cloud SQL using Private IP address.​


              • Understanding Command Structure in Gcloud to play with Services​
              • Cloud Shell​

              Lab: Working with the Cloud Console and Cloud Shell​

              • Get access to Gcloud.​
              • Use Cloud Shell to create a Cloud Storage bucket.​
              • Become familiar with Cloud Shell features.​


              • Cloud VPN​
              • Virtual Private Cloud (VPC)​
              • VPCs and Subnets in GCP​
              • CIDR Blocks​
              • Firewall & Firewall rules​
              • Shared VPC​
              • Cloud DNS​
              • Cloud Interconnect and Peering​
              • Hybrid Network Architecture​

              Lab: VPC Networking Explore the default VPC network

              • Create an auto mode network with firewall rules.
              • Convert an auto mode network to a custom mode network. ​
              • Create custom mode VPC networks with firewall rules. ​
              • Create VM instances using Compute Engine. Explore the connectivity for VM instances across VPC networks​

              Lab: Implement Private Google Access and Cloud NAT​


                • Development in Cloud​
                • Deployment Infrastructure as code​
                • Deploying Applications to Google Cloud​
                • Managing Versions & Cost Planning​
                • Monitoring Dashboards

                Lab: Getting Started with Deployment Manager​

                • Create a Deployment Manager deployment.​
                • Update a Deployment Manager deployment.
                • View the load on a VM instance using Cloud Monitoring.​

                Lab: Monitoring Applications in Google Cloud Download a sample app from Github. Deploy an application to App Engine. Examine the Cloud logs. View Profiler information. Explore Cloud Trace. Monitor resources using dashboards. Create uptime checks and alerts.​


                  • Resource Manager​
                  • Billing Administration
                  • Monitoring​
                  • Logging, Error Reporting, Tracing & Debugging​


                  • Examining Billing data with BigQuery​
                  • Resource Monitoring Explore Cloud Monitoring. Add charts to dashboards. Create alerts with multiple conditions. Create resource groups. Create uptime checks.​
                  • Error Reporting and Debugging​.


                    • By earning Google Certified Associate Cloud Engineer certification, you can be competent Google Cloud certified professional.
                    • Demonstrate essential Google Cloud Practitioner skills.
                    • On successful completion of Google Cloud Associate Cloud Engineer training, aspirants receive a Course Completion Certificate from us.
                    • By successfully clearing the Google Cloud Engineer Associate exam, aspirants earn Google Certification.

                  Our Top Trainers

                  Srivani Bhompally

                  Srivani works as Research Associate in CloudThat technologies and delivers training GCP, Docker, Kubernetes and Terraform. She has certification on GCP and works on various Devops and Cloud consulting projects for various clients

                  Vivek Kumar

                  Vivek has been involved in various large and complex projects with global clients. He has experience in AWS, GCP and Azure Cloud Platforms. He has experience in various software development fields like Image Processing, Web designing, Networking etc.

                  Lakhan Kriplani

                  He had involved in various client projects to set up infrastructure on Cloud for various Analytics applications, E-Commerce, setup CICD Pipeline using AWS services. He has experience in developing highly secure, scalable web applications using MVC architecture. etc.

                  Ajay Kumar Lodha

                  Ajay is cloud obsessed and cloud addict, that's how he describes himself. Ajay has been working with all the major cloud computing platforms like AWS, Azure, and GCP for more than 5 years now. He is into etc.

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                    Course ID: 8287

                    Course Price at

                    ₹ 29900 + 18% GST

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