📊 Google Cloud Data Engineer: Transform Data into Insights
A Google Cloud Certified Professional Data Engineer designs and builds data processing systems. This training equips you with the skills to analyze data, build machine learning models, and automate business processes using Google Cloud Platform (GCP).
Program Fast-Facts
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Duration: 25 Hours of high-quality, expert-led training.
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Practice: 12 Assignments and 2 Real-world Projects.
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Reputation: Rated 4.8/5 by learners, focusing on practical real-time application.
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Current Offer: Priced at ₹29,250 (Original: ₹32,500) | Includes a Free additional self-paced course!
🛠️ Deep Dive into the Syllabus
The curriculum is meticulously designed to help you clear the Google Professional Data Engineer exam.
Key Learning Modules:
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Data Infrastructure: Setting up and managing Google Cloud Storage and BigQuery.
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Data Processing: Mastering Dataflow (Apache Beam) and Dataproc (managed Spark/Hadoop).
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NoSQL & Streaming: Working with Bigtable for high-speed data and Pub/Sub for real-time messaging.
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Machine Learning & AI: Introduction to Vertex AI and pre-built ML APIs to automate insights.
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Data Visualization: Using Looker (formerly Data Studio) to generate business-ready reports.
🌟 Why Choose ITGuru for GCP?
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Lifetime Access: Permanent access to the Learning Management System (LMS) for all presentations and guides.
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Real-World Case Studies: Training is centered around actual industry scenarios rather than just theory.
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24/7 Expert Support: A dedicated team is available around the clock to assist with lab setups or technical queries.
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Placement Assistance: ITGuru’s support team works with 200+ global companies to pass your resume to hiring managers post-completion.
📈 Who Can Enroll?
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Aspiring Data Engineers: Anyone with a basic degree looking to enter the cloud data field.
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Data Analysts: Wanting to scale their analytics capabilities to the cloud.
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Database Administrators: Transitioning from on-premise systems to GCP.
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Software Developers: Interested in building data-driven applications.
Pro Tip: Google Cloud Data Engineering is currently one of the highest-paying certifications in the IT industry. Combining this with a free self-paced course in Python or Big Data (included in the offer) can significantly boost your market value.
❓ Frequently Asked Questions
Are there upcoming batches? New batches are scheduled across March and April 2026:
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Weekday: March 10th (8:00 PM IST) or March 20th (10:00 PM IST).
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Weekend: March 14th (8:00 PM IST).
What if I miss a live class? Every session is recorded and uploaded to your LMS portal, ensuring you never fall behind.
Can I pay in installments? Yes, installment options are available to make the certification journey more affordable.
🚀 Start Your Data Journey
Ready to become a Google Certified Professional?
Curriculum
- 1 Section
- 0 Lessons
- 25 Hours
- Cloud Data Engineer Course Syllabus
Cloud Data Engineer Online Training & Certification Course
Master cloud-based data engineering and enterprise data solutions with industry-focused online training designed for big data processing, cloud ETL pipelines, data warehousing, and scalable cloud analytics architectures.
This Cloud Data Engineer Online Training program helps students and professionals gain expertise in cloud data platforms, ETL workflows, big data technologies, real-time streaming, database management, and enterprise cloud data engineering projects using practical business scenarios.
Program Highlights
65 Hours of Training
Comprehensive instructor-led sessions covering beginner to advanced cloud data engineering concepts.
Hands-on Assignments
Practical exercises focused on ETL pipelines, big data workflows, and cloud analytics implementation.
Real-time Projects
Work on enterprise data engineering and cloud analytics implementation projects.
Lifetime LMS Access
Access training recordings, downloadable resources, assignments, and future updates permanently.
Cloud Data Engineer Course Curriculum
Module 1: Introduction to Cloud Data Engineering
Understand cloud computing fundamentals, data engineering concepts, and enterprise data architecture workflows.
- Introduction to Data Engineering
- Cloud Computing Basics
- Data Pipeline Architecture
- Big Data Ecosystem
- Cloud Data Platforms Overview
Module 2: Database & Data Warehousing
Learn enterprise database concepts, cloud storage systems, and modern data warehouse architectures.
- SQL Fundamentals
- Relational Databases
- Data Warehousing Concepts
- Cloud Storage Solutions
- Data Modeling Techniques
Module 3: ETL & Data Integration
Master ETL workflows, data transformation, and enterprise integration techniques.
- ETL Fundamentals
- Data Extraction Techniques
- Transformation Workflows
- Data Loading Strategies
- Data Quality Management
Module 4: Big Data Technologies
Understand big data processing, distributed computing, and scalable analytics frameworks.
- Hadoop Ecosystem
- Apache Spark
- Hive & HDFS
- Distributed Computing
- Big Data Processing Workflows
Module 5: Cloud Data Platforms
Learn enterprise cloud data services and cloud-native analytics solutions.
- Google BigQuery
- Amazon Redshift
- Azure Synapse Analytics
- Cloud Data Lakes
- Managed Analytics Services
Module 6: Real-time Data Streaming
Gain expertise in streaming architectures, real-time analytics, and event-driven data processing workflows.
- Apache Kafka
- Stream Processing Concepts
- Real-time Analytics
- Event-driven Architectures
- Data Streaming Pipelines
Module 7: Data Security & Governance
Learn enterprise data security, governance, and compliance implementation strategies.
- Data Security Best Practices
- Access Control
- Encryption Concepts
- Data Governance
- Compliance & Auditing
Module 8: DevOps & Workflow Automation
Understand CI/CD workflows, orchestration, and enterprise automation techniques for data pipelines.
- CI/CD for Data Pipelines
- Workflow Orchestration
- Apache Airflow
- Infrastructure Automation
- Monitoring & Troubleshooting
Module 9: Real-world Cloud Data Engineering Projects
Gain practical implementation experience through enterprise cloud data engineering projects.
- Enterprise ETL Pipeline
- Cloud Data Warehouse Implementation
- Real-time Streaming Analytics
- Big Data Processing Platform
Real-time Project Experience
Enterprise Cloud Data Platform
Build and deploy scalable enterprise data engineering workflows using cloud-native technologies.
Real-time Analytics & Streaming System
Implement streaming analytics, ETL automation, and big data processing workflows.
Why Choose This Cloud Data Engineer Course?
- Industry-focused Data Engineering Curriculum
- Hands-on Cloud Analytics Training
- Real-world Cloud Data Projects
- Big Data & Streaming Exposure
- Interview Preparation Assistance
- Resume & Career Support
- 100% Placement Assistance
- Flexible Online Learning
Technologies Covered
Apache Spark Hadoop Kafka BigQuery Amazon Redshift Azure Synapse Apache Airflow SQL ETL Pipelines Cloud Data WarehousingTraining Features
Get 24/7 expert support, lifetime LMS access, project assistance, certification guidance, interview preparation, and placement support throughout the training program.
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