GCP Data Engineer Course in Bangalore

Course Overview

The Google Cloud Professional Data Engineer course provides in-depth training on designing and managing data processing systems on Google Cloud. Learners gain hands-on experience in building data lakes and data warehouses, creating batch and streaming data pipelines, and operationalizing machine learning models. The course also emphasizes security, reliability, and performance optimization, ensuring you can design production-ready data solutions. This training fully aligns with the Google Cloud Professional Data Engineer certification syllabus and real-world industry requirements. Google Cloud Professional Data.

24x7 Support

50+ Industrial Projects

100 Hours of Self Learning

1:1 Mock Interviews

Free Voucher for Global Certification

Learn from Industry Experts

One-on-One with Industry Mentors

Education Learning Management

NO Cost EMI

Designed for Working Professionals

100% Placement Assistance

Practice Lab with 100+ Quality Videos

Video Contents

Hands-On Labs

Cloud Sandbox

What Will You Learn

Design scalable data processing systems on Google Cloud

Build and manage data lakes and data warehouses using Big Query.

Create batch data pipelines using Dataflow and Dataproc.

Develop real-time streaming analytics with Pub/Sub and Dataflow.

Manage data orchestration using Cloud Composer and Data Fusion.

Implement high-performance analytics with Big Query and Bigtable.

Handle structured and unstructured data efficiently.

Apply security, governance, and reliability best practices.

Integrate machine learning workflows using Vertex AI and Big Query ML.

Operationalize ML models for production data systems

Prepare for the Google Cloud Professional Data Engineer certification.

Course Structure

Intended audience

This course is ideal for data engineers, data analysts, BI professionals, software engineers, cloud engineers, and IT professionals who want to specialize in data engineering on Google Cloud. It is also suitable for professionals working with large datasets, analytics platforms, or cloud-based data systems who want to upgrade their skills and move into advanced data engineering roles.

Prerequisites

Learners should have a basic understanding of cloud computing concepts and databases. Familiarity with SQL, data processing concepts, or analytics tools is helpful. Prior exposure to programming languages like Python or Java is an advantage, but not mandatory. Motivated learners with data or IT experience can easily follow the course with guided training.

Course Syllabus