Google Cloud Training

Google Cloud Online Course with GCP Training

Learn Google Cloud Platform (GCP) in a 3 month online course. Work with Compute Engine, BigQuery, Dataflow, Pub Sub, Composer, Terraform and Docker through live classes and hands on practicals. Choose live online, classroom or self paced learning. You receive a certificate of completion.

★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion

Live Interactive Classes
Job Assistance
Industry Expert Trainers
Recorded Classes on LMS
Hands On Practicals
Online and Classroom Batches

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Get Course Details

A learning advisor will call you within 24 hours.

Course Duration

3 Months

Learning Mode

Live Online, Classroom and Self Paced

Projects

A Practical in Every Module

Certification

Certificate of Completion

Job Support

Job Assistance

Batch Timing

[Confirm batch timings]

Experience Level

[Confirm prerequisites]

Fees Start At

₹5,000

Who Should Take This GCP Course?

This course is for:

IT Professionals

Learn to set up and manage cloud infrastructure on Google Cloud.

Developers

Run code on Google Cloud with Docker, GKE, Pub Sub and Dataflow.

Data Analysts

Move your analysis to BigQuery and learn BigQuery ML.

Aspiring Cloud and Data Engineers

Build pipelines, data warehouses and automated deployments.

Not sure which course is right for you?

Take our 2 minute course finder to choose between Google Cloud, AWS, Big Data and PySpark.

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Learn Google Cloud: What You Will Learn in the GCP Online Course

Compute Engine Cloud Storage and Networking BigQuery Pub Sub and Dataflow Docker and GKE Dataproc Composer and Airflow Terraform

By the end of the course, you'll be able to:

Create and manage Compute Engine instances, persistent disks and snapshots with the console, gcloud and code
Store and secure data in Cloud Storage, and set up load balancing and firewalls
Design a data warehouse in BigQuery, load data and work with JSON, arrays and structs
Optimize BigQuery performance and cost, and build models with BigQuery ML
Build a data lake on Cloud Storage and run federated queries on Parquet and ORC files
Stream data with Pub Sub and build batch and streaming pipelines with Dataflow and Apache Beam
Run Docker containers, use GKE, and run Hadoop and Spark on Cloud Dataproc
Orchestrate pipelines with Cloud Composer and Airflow, and deploy resources as code with Terraform

Google Cloud tools and services

Compute Engine

Cloud Storage

BigQuery

Pub Sub

Dataflow

Cloud Dataproc

Cloud Composer

Terraform

Hands On Practice and Industry Project

Practical 01

BigQuery Warehouse and ML Practicals

Tools: BigQuery, BigQuery ML

You'll build:

Data loaded, exported and stored in partitioned tables
Joins and unions across tables
A classification model to predict visitor purchases
A forecasting model to predict taxi fares

View Practical →

Practical 02

Streaming Pipeline Practicals

Tools: Pub Sub, Dataflow, Apache Beam

You'll build:

A topic and a subscription
Messages published and read
Dataflow pipelines that read, transform and write data
Data moved from an external source to Cloud Storage and BigQuery

View Practical →

Practical 03

Airflow and Terraform Practicals

Tools: Cloud Composer, Airflow, Terraform

You'll build:

A DAG created, submitted and tested
A data pipeline DAG for BigQuery
A Cloud Storage bucket and a Compute Engine instance created with code
Cloud Run, BigQuery and Pub Sub resources created with code

View Practical →

Each practical gives you something specific to explain in an interview.

Google Cloud Career Roles After This Course

Course

Skill Building

Hands On Practicals

Real Time Project

CV Help

Interview Preparation

Job Assistance

Career roles you can target

Role	Core Skills
Cloud Engineer Trainee	Compute Engine, networking, Cloud Storage, Terraform
Data Engineer Trainee	BigQuery, Dataflow, Pub Sub, Composer
BigQuery Analyst	BigQuery, BigQuery ML, Looker Studio
DevOps Trainee	Docker, GKE, Terraform
Cloud Support Trainee	Compute Engine, persistent disks, firewalls, load balancing

Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

How Prwatech supports your job search

What job assistance includes, in detail.

01

CV Help

Get help creating a professionally written CV.

02

Interview Preparation

Get guidance for interview preparation and common interview questions.

03

Real Time Project

Work on an industry grade project to see how cloud teams work.

04

Screening Test

Learners who pass the screening test receive interview calls.

05

Job Assistance

[Describe exactly what else this includes, such as referrals or a job board.]

92% learners placed since 2010

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Why Learn Google Cloud with Prwatech

15+ Years

Training Experience

15k+

Learners Trained

Industry

Experts Lead Live Q&A

Recorded

Classes on Your LMS

Job

Assistance Included

Online +

Classroom Batches

Google Cloud Trainers

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[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

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[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

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Student Reviews

★ 4.3 average from 299+ verified Google reviews

Every review is public on Google.

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Before → After

Before	After
No cloud experience	Compute Engine, storage and networking on Google Cloud
Spreadsheet or local analysis	Data warehousing and BigQuery ML
No pipeline experience	Batch and streaming pipelines with Pub Sub and Dataflow
Manual setup	Terraform deployments and Airflow scheduling

GCP Course Content and Syllabus

1. Compute Engine, Instances and Persistent Disk

Module 1: enabling billing and adding team members, Compute Engine resources and how to manage them
Module 2: creating, accessing and deleting an instance with the console, gcloud and code, and selecting an access mode
Module 3: Compute Engine storage options, Persistent Disk and its performance, creating a disk with the console, gcloud and code, and snapshots

2. Cloud Storage and Networking

Module 4: understanding blob storage, using Cloud Storage from your code, access control, ACLs and default object ACLs, object immutability and strong consistency
Module 5: load balancing, firewalls and default networking

3. Data Warehouse with BigQuery

Module 6: introduction to BigQuery and loading data, schema design, JSON and array data, transforming batch and streaming data, monitoring usage and reservations, system table reports with Looker Studio (formerly Data Studio), BI Engine, and Cloud Monitoring (formerly Stackdriver)
Module 7: interacting with BigQuery, loading and exporting data, optimizing for performance and cost, streaming inserts, logging, monitoring and best practices
Surrogate keys, managing a warehouse at scale, date partitioned tables, joins and unions, JSON, arrays and structs
BigQuery ML: a classification model to predict visitor purchases and a forecasting model to predict taxi fares

4. Cloud SQL, Data Lakes and Pub Sub

Module 8: introduction to data lakes, storage and ETL options on Google Cloud, building and securing a data lake on Cloud Storage, federated queries on Parquet and ORC files, and relational data in Cloud SQL
Module 9: Pub Sub overview, creating a topic and a subscription, publishing, receiving and reading messages, and a streaming data processing use case

5. Cloud Dataflow and Data Pipelines

Batch and streaming data, and the challenges of each
Dataflow fundamentals with Apache Beam, types of transformations and data transformations with Python
Connecting Kafka to Google Cloud and integrating it with Pub Sub, and monitoring subscriber health
Stream processing with Pub Sub and Dataflow, a resilient asynchronous system with Cloud Run and Pub Sub, and streaming IoT data to Cloud Storage
Read, transform and write pipelines: external source to Cloud Storage, Cloud Storage to BigQuery, and external source to BigQuery
Dataflow best practices

6. DevOps, Dataprep and Spark on Dataproc

Module 11: containers and Docker, Docker Hub and Google Kubernetes Engine (GKE)
Module 12: what Dataprep is, creating a data transformation pipeline, advanced transformations, and preparing and aggregating data for visualizations
Module 13: the Hadoop ecosystem, running Hadoop on Cloud Dataproc, Cloud Storage instead of HDFS, and optimizing Dataproc

7. Cloud Composer and Apache Airflow

Introduction to Airflow, use cases, tasks and why orchestration matters
Airflow environments on premises and on Google Cloud
DAGs, Airflow architecture (single node and multi node) and the web interface
Program structure, creating and submitting a DAG, templating and variables, and creating and testing connections
A DAG data pipeline for BigQuery, and Airflow compared with Beam

8. Terraform

Infrastructure as code, Terraform basics and installation
Terraform with Google Cloud
Cloud Storage, Compute Engine, Cloud Run, BigQuery and Pub Sub with Terraform

Google Cloud Training Fees and Learning Formats

All formats include the same curriculum and projects.

Swipe sideways to compare all three formats →

	Self Paced	Most Popular Live Online	Classroom
Recorded Content	✓	✓	✓
Live Classes	Not included	✓	✓
Trainer Support	Limited	✓	✓
Projects	✓	✓	✓
Career Support	[Specify]	✓	✓
Access	Lifetime	[Duration]	[Duration]
Price	₹5,000 or ₹[X,XXX] per month EMI	₹22,000 or ₹[X,XXX] per month EMI	₹22,500 or ₹[X,XXX] per month EMI

Talk to an Advisor

What happens after you enquire?

1

Submit enquiry

2

Advisor calls you

3

Discuss background & goals

4

Choose suitable batch

5

Complete enrollment

6

Start learning

Frequently Asked Questions

What is Google Cloud Platform (GCP) and who can join?

Google Cloud Platform is Google's cloud service for computing, storage, networking, data and analytics. In this course, GCP means Google Cloud Platform, and it has no link to Good Clinical Practice courses. IT professionals, developers, data analysts and aspiring cloud and data engineers can join. [Confirm prerequisites, and whether SQL and Linux basics are taught.]

What is the GCP course duration?

The course runs for 3 months.

What is the Google Cloud course fee?

The live online course fee is ₹22,000. The classroom fee is ₹22,500. The self paced course costs ₹5,000. Contact the learning team for EMI details.

Is this a GCP data engineer course?

It covers the core data tools of Google Cloud: BigQuery, Cloud SQL, Pub Sub, Dataflow, Dataproc, Composer and Terraform. It is hands on training and not exam preparation for the Google Professional Data Engineer certification.

Does the course prepare me for a Google Cloud certification?

No. The course teaches many services that appear on Google Cloud certification paths, but exam preparation, practice tests and exam vouchers are not part of it. [Confirm.]

What is the GCP certification cost?

Google sets the fee for its certification exams and may change it, so check Google Cloud's certification page for the current price. The Prwatech course fee covers training and the Prwatech certificate of completion.

Do I get a certificate?

You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a Google Cloud exam certification.

Does the course cover AWS or Azure?

No. This course covers Google Cloud only. For AWS, see our AWS course.

Do you provide job assistance?

Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.

What if I miss a live class?

Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

Start Learning Google Cloud

Get the complete curriculum and speak with a learning advisor about the right learning format for you.

Download Curriculum Book a Free Demo Class

Google Cloud Online Course with GCP Training

Who Should Take This GCP Course?

IT Professionals

Developers

Data Analysts

Aspiring Cloud and Data Engineers

Learn Google Cloud: What You Will Learn in the GCP Online Course

Hands On Practice and Industry Project

BigQuery Warehouse and ML Practicals

Streaming Pipeline Practicals

Airflow and Terraform Practicals

Google Cloud Career Roles After This Course

How Prwatech supports your job search

CV Help

Interview Preparation

Real Time Project

Screening Test

Job Assistance

Why Learn Google Cloud with Prwatech

Google Cloud Trainers

[Trainer Name]

[Trainer Name]

Student Reviews

GCP Course Content and Syllabus

Google Cloud Training Fees and Learning Formats

What happens after you enquire?

Frequently Asked Questions

Start Learning Google Cloud

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