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GCP Certification Online Training

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Learners : 1080

Duration :  25 Days

About Course

🌐 Google Cloud Platform (GCP) Online Training

Google Cloud Platform (GCP) is one of the leading cloud computing services that provides infrastructure, data analytics, machine learning, and application development capabilities. This course equips learners with practical skills to design, deploy, and manage scalable cloud solutions using GCP’s suite of services — empowering professionals to excel in cloud architecture, DevOps, and data engineering roles.

Its Core Capabilities Include:

  • Cloud Fundamentals & Architecture:
    Understand GCP architecture, core services, and how to build secure, scalable, and cost-effective solutions.
  • Compute Services:
    Deploy and manage virtual machines using Compute Engine, and run applications with App Engine and Kubernetes Engine (GKE).
  • Storage & Databases:
    Learn to use Cloud Storage, BigQuery, Cloud SQL, and Firestore for efficient data storage and management.
  • Networking in GCP:
    Configure VPCs, subnets, load balancers, and secure cloud networks for optimal performance.
  • Security & IAM:
    Manage identities, roles, permissions, and ensure compliance with GCP Security Best Practices.
  • Automation & DevOps on GCP:
    Implement CI/CD pipelines using Cloud Build, Source Repositories, and Deployment Manager.
  • Monitoring & Logging:
    Use Cloud Monitoring and Cloud Logging to track performance, troubleshoot issues, and optimize resources.

📍 Bonus: Certification Tracks

  • Google Cloud Certified – Associate Cloud Engineer
  • Google Cloud Certified – Professional Cloud Architect
  • Google Cloud Certified – Data Engineer
  • GCP Administrator Certification (Viswa Online Trainings)

GCP Training Course Syllabus

Introduction to Google Certification Programs
  • Exam Preparation and Study Techniques
  • Preparation for the GCP Exams
  • Resources and Study Aids
  • Passing the Exam, the First Time
Cloud Computing Concepts
  • Cloud History
  • Cloud Deployment Models
  • Cloud Delivery Models
  • Cloud Computing Benefits and Limitations
Introduction to Google Cloud Platform
  • Google Cloud Platform (GCP) Infrastructure
  • Using GCP
  • Lab: Console and Cloud Shell
  • : Projects
  • Lab: Infrastructure Preview
Virtual Networks
  • Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
  • Subnetworks for resource management instead of physical network topology
  • Lab: Virtual Networking
  • Lab: Bastion Host
Virtual Machines
  • Compute Engine
  • Lab: Creating Virtual Machines
  • Compute options (vCPU and Memory)
  • Images
  • Common Compute Engine actions
  • Lab: Working with Virtual Machines

 

Cloud IAM
  •  Organizations, Roles, Members, Service accounts, Cloud IAM best practices
  • Lab: Cloud IAM
Data Storage Services
  • Cloud Storage
  • Lab: Cloud Storage
  • Cloud SQL
  • Lab: Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Lab: Cloud Datastore
  • Cloud Bigtable
Resource Management
  • Cloud Resource Manager, Quotas, Labels, Names, Billing
  • Demo: Billing Administration
  • Lab: Examining Billing Data with BigQuery
Resource Monitoring
  • Stackdriver, Monitoring
  • Lab: Resource Monitoring (Stackdriver)
  • Logging, Error Reporting, Tracing, Debugging
  • Lab: Error Reporting and Debugging (Stackdriver)
  • Module 8: Interconnecting Networks
  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual Private Networks (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
Load Balancing
  • Managed Instance Groups, HTTPS load balancing, Cross-region, and content-
  • based load balancing, SSL proxy/TCP proxy load balancing, Network load
  • balancing
  • Lab: VM Automation and Load Balancing
Autoscaling
  •  Autoscaling, Policies, Configuration
  • Lab: Autoscaling
Infrastructure Automation with Google Cloud Platform APIs
  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Lab: Google Cloud Platform API Infrastructure Automation
Application Infrastructure Services
  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

Application Development Services
  • App Engine

     

Containers
  • Containers, Kubernetes Engine, Container Registry Lab: Kubernetes Load
  • Balancing
  • Kubernetes Engine, App Engine, or Containers on Compute Engine
GCP Course Key Features

Course completion certificate

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GCP Online Training FAQ'S

What is Google Cloud Platform (GCP)?
  • GCP is a suite of cloud services offered by Google for computing, storage, networking, and data analytics, allowing businesses to run scalable applications.

What are the core components of GCP?
  • Compute Engine, App Engine, Cloud Storage, BigQuery, and Cloud Pub/Sub are the key components.

What is the difference between Compute Engine and App Engine?
  • Compute Engine provides virtual machines (IaaS), while App Engine is a fully managed platform for building and deploying applications (PaaS).

What is IAM in GCP?
  • Identity and Access Management (IAM) helps define who (user) can do what (role) on which resource, ensuring secure access control.

What is BigQuery used for?
  • BigQuery is a fully managed data warehouse that enables fast SQL-based analysis of large datasets.

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