GCP Training in Kolkata AEM

Associate Cloud
Engineer

Google Cloud certification Training

Google Cloud certification :: Duration : 3 Months
Physical Classroom | Instructor Led Online :: WeekEnd | Evening | Regular Class Available

 Course Introduction

Google Cloud is most emerging cloud technology now a days. GCP has the prominance in job market everywhere. A GCP can build maintain and deploy applications in Google Cloud platform as per customer requirements.Our GCP training is 100% hands on Lab training.We have Classroom and online classes for working Professional.

 Key Benefits

The best benefits you get with AEM Kolkata:

 We provide 100% Hands On Lab.  30 Hours of live Instructor Led Training and Project Guidance.  35+ on demand skills 2022  Capstone Project with latest skills   CV Preparation with your Mentor.   Job search & Interview Preparation via Own Portal

 AEM Students are working globally ..

RedHat | TCS | Wipro | CTS | Accenture | Deloitte | Amazon | PWC | Ericsson and many more.....

 This course is for

  • Network Administrators
  • System Administrators
  • Project Managers
  • Consultants
  • Anyone interested in learning AWS Cloud Computing

Section 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
  • 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
  • specifically the Cloud SDK (e.g., setting the default project)
  • 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
  • Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
  • Choosing storage options (e.g., regional, multi-regional, nearline, coldline)
  • Differentiating load balancing options
  • Identifying resource locations in a network for availability
  • Configuring Cloud DNS
  • 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 a Google Kubernetes Engine cluster
  • Deploying a container application to Google Kubernetes Engine using pods
  • Configuring Google Kubernetes Engine application monitoring and logging
  • 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)
  • 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)
  • 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 a VPC with subnets (e.g., custom-mode VPC, shared VPC)
  • 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)
  • Browsing Cloud Marketplace catalog and viewing solution details
  • Deploying a Cloud Marketplace solution
  • Developing Deployment Manager templates
  • Launching a Deployment Manager template
  • 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)
  • 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)
  • Adjusting application traffic splitting parameters
  • Setting scaling parameters for autoscaling instances
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • 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
  • Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • 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)
  • Viewing IAM role assignments
  • Assigning IAM roles to accounts or Google Groups
  • Defining custom IAM roles
  • Managing service accounts with limited privileges
  • Assigning a service account to VM instances
  • Granting access to a service account in another project

 Upcoming GCP Training Class in kolkata AEM

Start Date Class Timing Duration Fees
22nd January 2023 10am-1pm [WeekEnd] Four Months INR 15,000/-
7th February 2023 7:30am-9:30am [Tue-Thu] Two Months INR 15,000/-
26th February 2023 8pm-10pm [WeekEnd] Three Months INR 15,000/-
6th March 2023 8pm-10pm [Mon-Fri] One Month INR 15,000/-

- For customized class schedule

 Benefits of Learning GCP Cloud

  • Be prominent in job market of Cloud Computing.
  • GCP has maximum penetration in Kubernetes and Docker enabled projects.
  • Reliable and faster implementation over cloud.
  • GCP has a more mature model of infrastructure in comparison to other cloud computing services.
  • GCP provides more job opportunities in latest technology domain.

 FAQs

What is basic requirements to learn GCP?
Basic knowledge of Operating system and Networking will be fine.
Do you offer demo classes before enrollment?
Our live sessions are offered only to a limited number of participants to maintain the quality standards. Hence, there is no provision for one to participate without enrollment. However, we can provide you with a few sample recordings of our classes to clarify your doubts. You will have to contact us directly for those samples though.
What should be my internet speed to attend the live classes?
The recommended speed is 2 MBps if you want to attend an uninterrupted live class from DevClass.
Are your instructors experienced enough?
All the instructors at AEM Kolkata are industry experts with a minimum of ten to fifteen years of experience in their relevant fields. They are also further trained by AEM Kolkata to provide a smooth learning experience to the participants.
Do you provide a course completion certificate?
Of course, we do. We will provide you with a certificate based on a few parameters like exam performance, session attendance, etc. upon the completion of your course.