Master the Art of Data Engineering with Google Cloud Platform (GCP)

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!

Sateesh Pabbathi
Author & Cloud Expert

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.

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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.

GCP Data Engineering Course

Unlock the power of configuration mastery and automation in tech – Learn GCP Data Engineering, your gateway to modern IT and development.

Data Modeling

ETL (Extract, Transform, Load) Processes

SQL and NoSQL 


Cloud Storage 


Data Warehousing

Real-Time Data 


Cross-Platform Competence

Cost Optimization


Error Identification and Debugging 

Project Efficiency

Version Control and Testing


  • 1. Overview of Google Cloud Platform and Data Engineering Services
    2. Understanding Data Engineering Concepts and Pipelines
  • 1. Cloud Storage Classes and Strategies
    2. NoSQL Databases: Firestore and Cloud Bigtable
    3. Data Versioning, Lifecycle Management, and Backup Strategies
  • 1. Real-time Data Streaming with Cloud Pub/Sub
    2. Batch and Stream Processing with Apache Beam
  • 1. Data Transformation and Cleaning with Dataflow and Dataprep
  • 1. BigQuery ML: Machine Learning in BigQuery
    2. Machine Learning Pipelines with Kubeflow
    3. Data Integration with Cloud Functions
  • 1. Orchestration with Apache Airflow
    2. Dataflow Templates and Templates Flex
  • 1. Data Security: Encryption and Access Control
    2. Data Governance, Compliance, and Metadata Management
  • 1. Data Lakes on GCP: Cloud Storage and BigQuery
    2. Serverless Data Analysis: BigQuery and Data Studio
  • 1. Introduction to BigQuery for Analytics
    2. Data Warehousing with Bigtable
    3. Geospatial Data Analysis and Time Series Data Analysis
  • 1. Data Pipeline Monitoring and Logging
    2. Cost Optimization Strategies in Data Engineering
  • Introduction to Dataproc for Big Data Processing
    2. Competitor Analysis and Market Trends
    3. Crisis Management through Social Listening
  • 1. Real-time Data Streaming with Cloud Pub/Sub
    2. Real-time Dashboarding with Data Studio
  • 1. Integrating GCP with External Data Sources
    2. Data Transfer Service and Apigee for Data Integration
  • 1. Optimizing BigQuery Queries for Performance
    2. Data Partitioning and Clustering in BigQuery
  • 1. Advanced Machine Learning with TensorFlow on GCP
    2. AI Platform for Scalable Machine Learning

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Frequently asked questions

Basic familiarity with data concepts and a fundamental understanding of cloud computing will be beneficial. However, the course is designed to accommodate learners at various levels of expertise.

Yes, all live sessions will be recorded and made available to participants for later viewing. This ensures that you can catch up on any missed content at your convenience.

Yes, upon successful completion of the course and any associated assessments, participants will receive a certificate of completion from LevelUp.

The course includes a series of practical hands-on exercises and projects that simulate real-world data engineering scenarios. These projects will give you the opportunity to apply the concepts learned in the course and gain valuable practical experience.