Last Updated : 15 Jul 2025

Google Cloud Data Engineer Course Overview

The Google Cloud Data Engineer course at Koenig Solutions equips learners with essential skills to design and manage data processing systems. Participants will explore key concepts such as data architecture, Cloud Storage, and data pipelines using tools like BigQuery. The course emphasizes practical applications, enabling students to implement models that enhance data-driven decision-making. By the end of the program, learners will achieve learning objectives such as building robust data workflows and ensuring data integrity in diverse environments. This course is perfect for those looking to advance their careers in cloud computing and data engineering, providing a strong foundation to tackle real-world challenges efficiently.

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Course Fee	2,150
Total Fees	2,150 (USD)

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1,700^♱

View Fees Breakdown

Course Fee	1,700
Total Fees	1,700 (USD)

USD

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Live Training (Duration : 40 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

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Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More

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Course Prerequisites

Minimum Required Prerequisites for Google Cloud Data Engineer Course

To successfully undertake the Google Cloud Data Engineer course, students should have the following minimum knowledge and skills:

Basic understanding of cloud computing concepts and models.
Familiarity with Google Cloud Platform (GCP) services and architecture.
Proficiency in at least one programming language (Python, Java, or Go).
Fundamental knowledge of data processing and storage methodologies.
Experience with SQL and relational databases.
Basic understanding of machine learning concepts and data analytics.

This foundational knowledge will help you grasp the course material more effectively and set you up for success in mastering the skills needed for the Google Cloud Data Engineer role.

Target Audience for Google Cloud Data Engineer

The Google Cloud Data Engineer course equips learners with the skills to design, build, and manage data processing systems on Google Cloud, tailored for aspiring data professionals.

Data Engineers
Data Analysts
Cloud Architects
Business Intelligence Developers
Database Administrators
Software Engineers
Machine Learning Engineers
IT Professionals seeking cloud skills
Data Scientists
System Administrators
Data Warehouse Developers
Project Managers in data-related projects
Technical Consultants specializing in cloud solutions
Recent graduates in computer science or related fields

Learning Objectives - What you will Learn in this Google Cloud Data Engineer?

The Google Cloud Data Engineer course equips students with essential skills to design, build, and manage data processing systems on Google Cloud, ensuring they are prepared for the GCP Data Engineer certification.
Learning Objectives and Outcomes:
- Understand Google Cloud products and services relevant to data engineering.
- Design data processing systems using Cloud Dataflow and Apache Beam.
- Implement batch and stream processing pipelines.
- Manage and optimize datasets in BigQuery.
- Utilize Cloud Pub/Sub for event-driven architectures.
- Apply data storage solutions in Google Cloud, including Cloud Storage and Bigtable.
- Ensure data security and compliance in cloud environments.
- Monitor and troubleshoot data workflows and processing jobs.
- Leverage machine learning services to enhance data analysis.
- Prepare for the Google Cloud Professional Data Engineer certification exam.