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Google Cloud Certification Training
To become prepared for the industry, Google Cloud Certification Training by Techpratham helps you become an expert in cloud architecture, deployment techniques, and Google Cloud Platform (GCP) services. Develop practical skills to boost your cloud career and pass Google Cloud certification exams.
5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

What is Google Cloud Certification Training?
With practical projects, our Google Cloud Certification Training by Techpratham is intended to help you become an expert in cloud computing, cloud architecture, and Google Cloud Platform (GCP) services. You will gain knowledge about designing scalable solutions, managing cloud storage, deploying apps, and creating secure cloud environments. Key topics covered in the course include Associate Cloud Engineer, Professional Cloud Architect, and Data Engineer, which are necessary to pass Google Cloud certification tests. You will be prepared to create, oversee, and enhance applications on the Google Cloud Platform by the time the training concludes.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

Google Cloud Certification Training Course Curriculum
.

Introduction to Google Cloud Platform (GCP)
Section 1

Understand the fundamentals of Google Cloud Platform and its core services.
Cloud Computing Basics
Google Cloud Console & SDK
GCP Global Infrastructure
Resource Management & Billing
Identity & Access Management (IAM)
.

Identity and Access Management (IAM)
Section 2

Discover how to control permissions and secure access to all GCP resources.
IAM Concepts and Roles
Service Accounts and Permissions
Resource Hierarchy in GCP
Managing Policies and Access Control
Best Practices for IAM Security
.

Google Compute Services
Section 3

Recognize and use GCP's compute resources and virtual machines.
Compute Engine: VM Instances and Machine Types
Instance Groups and Load Balancing
Managed vs. Unmanaged Instances
Preemptible and Custom VMs
Connecting and Managing SSH Keys
.

Storage and Database Services
Section 4

Examine managed databases and GCP storage options for scalable data processing.
Cloud Storage Buckets and Object Management
Storage Classes and Lifecycle Management
Cloud SQL: MySQL, PostgreSQL Setup
Cloud Spanner and Bigtable
Filestore and Persistent Disk Overview
.

Networking and Security in GCP
Section 5

Learn the basics of GCP networking and put secure network architectures into practice.
VPC Networks and Subnets
IP Addressing, Routes, and Firewalls
Cloud DNS, Cloud NAT, and Load Balancing
Hybrid Connectivity: VPN, Interconnect
Security Command Center and Identity-Aware Proxy
.

Kubernetes and Container Services
Section 6

Use Google Kubernetes Engine (GKE) to deploy and administer scalable containerized apps.
Introduction to Containers and Kubernetes
Google Kubernetes Engine (GKE) Architecture
Deploying Applications on GKE
Managing Pods, Services, and Clusters
Container Registry and Artifact Management
.

Application Development and Deployment
Section 7

Create, implement, and automate apps using GCP's DevOps and serverless platforms.
App Engine: Standard and Flexible Environments
Cloud Functions and Cloud Run
CI/CD Pipelines using Cloud Build
Managing Source Repositories
Monitoring and Logging using Cloud Operations Suite
.

Data Analytics and Machine Learning
Section 8

Create smart business solutions by utilizing GCP's data and AI services.
BigQuery Fundamentals
Dataflow and Dataproc Basics
Cloud Pub/Sub for Messaging
AI & ML Services: Vision, Natural Language, AutoML
Introduction to Vertex AI
.

Monitoring, Logging & Operations
Section 9

Use Google Cloud Operations Suite to track, record, and debug apps.
Stackdriver Monitoring and Logging
Resource Metrics and Alerts
Error Reporting and Debugging
Cloud Deployment Manager
Backup, Recovery, and Disaster Planning
.

GCP Project Management and Best Practices
Section 10

Use best practices from the real world to effectively manage GCP projects and resources.
Resource Organization (Folders, Projects, Billing Accounts)
Managing Multiple Environments
Cost Optimization Strategies
Compliance and Governance
Case Studies and Real-World GCP Projects
Key Projects
Google Cloud Certification Training
Scalable E-Commerce Application on GCP
Use Google Cloud services to create and implement a scalable e-commerce application. The project entails using load balancing for high availability, managing customer data in Cloud SQL, and hosting the application on Compute Engine. Additionally, you will set up IAM for secure user roles.
Real-Time Data Analytics with BigQuery & Dataflow
Make use of GCP Big Data tools to create a real-time analytics pipeline. Pub/Sub is used for data intake, Dataflow is used for processing, and BigQuery is used for analysis. This project shows how to manage massive streaming data and use dashboards to produce insights.
Smart Chatbot with AI & Cloud Functions
Using Dialogflow, create an intelligent chatbot that is integrated with a website or application. Employ Firebase for real-time updates, Cloud Functions for backend processing, and GCP for a secure deployment. AI-powered automation with smooth integration is demonstrated in this project.

Google Cloud Certification Training – Associate Training Program

Category
Associate
Exam Name:
Google Cloud Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)

What is Google Cloud Certification Training?

Mastering Google Cloud Platform (GCP) services, cloud computing, and cloud architecture through practical projects is made easier with Google Cloud Certification Training. It helps you get ready for Google Cloud certification tests, including those for Associate Cloud Engineer, Professional Cloud Architect, and Data Engineer.

After completing Google Cloud training, what are the job roles?

Following certification, students can work as cloud engineers, cloud architects, data engineers, devops engineers, or cloud administrators.

What is the difference between Google Cloud Associate and Professional certifications?

Professional certifications assess advanced design, architecture, and business integration skills, whereas Associate certifications concentrate on fundamental deployment and management abilities.

What is the average salary of a Google Cloud Certified professional?

Depending on their role and level of experience, certified Google Cloud professionals in India typically make between ₹8 LPA and ₹25 LPA, according to industry data.

Do Google Cloud certifications increase salary potential?

yes, professionals who obtain a Google Cloud certification typically see a 20–40% increase in pay because it attests to their technical proficiency.

How much does a Google Cloud Architect earn globally?

One of the highest-paying IT certifications, Professional Cloud Architects make between $120,000 and $160,000 USD annually worldwide.

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