Demo Main

Job Assist Guaranteed in GCP Data Engineering

About the Program

Learn to harness the power of GCP’s cutting-edge tools and services to process, store, and analyze data at scale.Join us at LevelUp and embark on a transformative journey in data engineering with GCP!

Course Objectives:  

  • Develop proficiency in fundamental concepts of Google Cloud Platform (GCP).
  • Build robust and scalable data pipelines for processing large volumes of data.
  • Learn techniques for data ingestion and effective Extract, Transform, Load (ETL) processes.
  • Utilize GCP services like Dataflow, Dataprep, and Dataproc for data processing tasks.
  • Implement real-time data processing and streaming using tools like Pub/Sub and Dataflow.
  • Master the art of data warehousing with BigQuery for fast and interactive analytics.
  • Explore advanced storage solutions like Cloud Storage and Bigtable for efficient data management.
  • Design and implement data models for optimized storage and retrieval.
  • Gain proficiency in working with SQL and NoSQL databases within GCP.
  • Secure data pipelines and implement data governance best practices.
  • Optimize data workflows for cost-efficiency and performance.
  • Apply machine learning techniques to leverage data for predictive analytics and insights.
  • Implement data monitoring, logging, and error handling strategies for robust pipelines.
  • Learn best practices for versioning, testing, and maintaining data engineering pipelines.
  • Prepare for the Google Cloud Professional Data Engineer certification exam, if desired.

Essential Information Before You Begin!

What is GCP Data Engineering Course?

The GCP Data Engineering course is a comprehensive training program focused on equipping individuals with the skills and knowledge needed to effectively work with data on the Google Cloud Platform (GCP). This course covers various aspects of data engineering, including data ingestion, transformation, storage, processing, and analysis within the GCP environment.


What Are The Benefits Of this Course?

The GCP Data Engineering course at LevelUp provides comprehensive training in Google Cloud Platform’s data processing capabilities. Participants learn to build cost-effective, scalable data pipelines, covering real-time processing and machine learning integration. The course emphasizes data security and governance, preparing individuals for certification as Google Cloud Professional Data Engineers. This program equips participants with the essential skills for success in modern data engineering within the Google Cloud ecosystem.

Key Features
of the Program

GCP Data Engineering Essential Tools

10X higher interaction Masterclasses by Industry Experts

80+ Hands-on Lab Exercices

Career Assistance helps you get noticed by top hiring companies

Life-time Access to our Data Engineers Community

Program Eligibility Criteria

A bachelor’s degree with an average score of at least 50 percent

No Prior knowledge or experience in programming is Required

2+ years of formal work experience (preferred)

Application Process

Step 1


Tell us about yourself and why you want enroll to this program

Step 2


An admission panel will shortlist candidates based on their application

Step 3


Selected candidates can join the program by paying the admission fee

Tools Covered

Google BigQuery

Google BigQuery


GCP Cloud Storage


Cloud Pub/Sub

Cloud Composer

and many more

Projects Covered

Real-time Data Processing Pipeline

Design and implement a real-time data processing pipeline using GCP services like Pub/Sub, Dataflow, and BigQuery. Ingest streaming data, perform transformations, and store the results in BigQuery for real-time analytics. This project will demonstrate your ability to handle continuous data streams and provide instant insights.

Data Warehousing and Business Intelligence Solution

Create a comprehensive data warehousing solution using GCP's BigQuery. Integrate data from various sources, design optimised schemas, and build dashboards using a BI tool like Data Studio. Implement features like scheduled data updates and automated reporting. This project showcases your skills in data warehousing, ETL processes, and business intelligence.

IoT Data Processing and Analysis

Build a data pipeline to process and analyse IoT data using GCP services. Ingest sensor data from IoT devices into Cloud IoT Core, process and transform the data using Dataflow, and store it in BigQuery. Implement real-time monitoring and create visualisations to provide insights into the IoT data. This project showcases your skills in handling IoT data streams and extracting valuable insights for decision-making.

Contact Us

Reach us

Call us

+91 89777 21349 / 9030725482

Mail us

Find Us

Swathi Manor Apartment, Flat no 203, Ameerpet, Hyderabad - 500016