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GCP Data Engineer Course

44 Lessons
|
40 hours

Advance your data engineering skills with kodestree’s Data Engineering on GCP course. This comprehensive program provides in-depth knowledge of designing, building and managing scalable data pipelines using Google Cloud services such as Cloud Storage, BigQuery, Dataflow, Dataproc, Pub/Sub and Cloud Composer. Through hands-on learning and real-world scenarios, you will gain practical experience in batch and streaming data processing, data warehousing, orchestration, security, monitoring and cost optimization on GCP. Designed for professionals aiming to build reliable, production-ready data platforms, this course equips you with the essential skills required to succeed as a Google Cloud data engineer.

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GCP Data Engineer Course
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About Course

GCP Data Engineer Course introduces the architecture and services used to collect, transform, store, and analyze data on Google Cloud. You will learn how to design data solutions that support analytics, operational workloads, and business intelligence while following Google Cloud data engineering best practices.

Prerequisites for Google Cloud and Data Engineering Course

  • Basic knowledge of cloud computing
  • Familiarity with programming (Python or Java)
  • Understanding of data structures and algorithms
  • Experience with SQL and relational databases
  • Knowledge of data engineering concepts (ETL, data pipelines)
  • Basic understanding of networking concepts
  • Familiarity with Linux/Unix operating systems
  • Experience with version control (Git)
  • Understanding of machine learning basics (recommended but not mandatory)

What Will You Learn

  • Google Cloud Platform core services and architecture
  • Data engineer roles and responsibilities on GCP
  • GCP resource hierarchy, regions, and zones
  • Cloud Storage and data lake design on GCP
  • Data ingestion techniques and file formats
  • BigQuery architecture, datasets, and tables
  • Writing and optimizing SQL queries in BigQuery
  • BigQuery cost management and optimization
  • Batch data processing using Dataflow and Dataproc
  • Apache Beam fundamentals
  • Real-time data processing with Pub/Sub
  • Streaming data pipelines with Dataflow
  • Data orchestration using Cloud Composer (Airflow)
  • Visual ETL with Cloud Data Fusion
  • End-to-end data pipeline design on GCP
  • Operational databases using Cloud SQL and Spanner
  • Wide-column storage with Cloud Bigtable
  • Change Data Capture (CDC) patterns
  • BigQuery ML and SQL-based machine learning
  • Vertex AI basics for ML workflows
  • Data security and IAM on Google Cloud
  • Data governance with Data Catalog and DLP
  • Monitoring and logging data pipelines
  • Designing reliable and fault-tolerant data architectures
  • Cost optimization and best practices for GCP data services

Who Should Do This Training

  • Aspiring data engineers
  • Data analysts transitioning to data engineering
  • Software engineers working with data pipelines
  • Cloud engineers using Google Cloud Platform
  • Big data professionals
  • ETL and data warehouse developers
  • Analytics engineers
  • Database administrators
  • Machine learning engineers working with data pipelines
  • IT professionals involved in data and cloud projects

Course Curriculum

Course Content

Lesson 1 – Introduction to Google Cloud and Data Engineering

  • Overview of Google Cloud Platform services
  • Data engineer roles and responsibilities
  • GCP resource hierarchy: organizations, folders, projects
  • Regions, zones and multi-region concepts

Lesson 2 – Storage and Data Lakes on Google Cloud

Lesson 3 – BigQuery – Enterprise Data Warehouse

Lesson 4 – Batch Data Processing with Dataflow and Dataproc

Lesson 5 – Real-Time / Streaming Data Processing

Lesson 6 – Data Integration and Orchestration

Lesson 7 – Operational Databases and Analytics Integration

Lesson 8 – Machine Learning with Google Cloud Data

Lesson 9 – Data Security, Governance and Compliance

Lesson 10 – Monitoring, Logging and Reliability

Lesson 11 – Cost Management and Best Practices

₹47,940.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    ₹47,940.00
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    • Duration: 40 hrs
    • 44 Lessons & Practical Labs
    • Lifetime Full Access & Free Upgrades
    • Downloadable Study Materials & Code Labs
    • Recognized Certification of Completion
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    ₹47,940.00
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    • Live Interactive Training: 40 hrs
    • 44 Lessons across 11 Modules
    • Plus Full Self-Paced Access & Recordings
    • Real-World Projects & Case Studies
    • 1-on-1 Doubt Sessions with Industry Experts
    • Exam Prep & Official Certification Support
    • Resume Building & Placement Assistance
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    Indian Navy
    Tech Mahindra
    AU Small Finance Bank
    Capgemini
    United Nations
    Yash Technologies

    Want to know Today's Offer

    GCP Data Engineer Course Certification Exam

    Upon completing the GCP Data Engineer Course, you will receive a globally recognized certification that validates your expertise in cloud computing, infrastructure management, and cloud-native technologies. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The Cloud certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    GCP Data Engineer Course

    Frequently Asked Questions

    The GCP Data Engineer Course is designed to provide comprehensive, in-depth training in GCP Data Engineer. GCP Data Engineer Course introduces the architecture and services used to collect, transform, store, and analyze data on Google Cloud. You will learn how to design data solutions that support analytics, operational workloads, and business intelligence while following Google Cloud data engineering best practices. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in GCP Data Engineer and qualify for engineer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using GCP Data Engineer tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into engineer positions.

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    Email:
    admissions@kodestree.com

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    Real feedback from professionals who transformed their careers with our training

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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    After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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    Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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    Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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    This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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