Register for GCP for Data Engineering Course
Master data engineering with our 30-hour expert-led course. Limited spots available!
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Complete the form below to reserve your place. An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment details.
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Why Join the GCP for Data Engineering Course?
This 30-hour training program is designed for data engineers aiming to build scalable data pipelines using GCP services like BigQuery, Dataflow, and Dataproc. With hands-on labs and real-world projects, you’ll gain practical skills to excel in data engineering.
- Duration: 30 hours of expert-led training
- Level: Intermediate to Advanced
- Format: Online, self-paced with live Q&A sessions and instructor support
- Tools: BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions
- Certification: Earn a Certificate of Completion recognized by top employers
- Support: Access to a private community and 1:1 mentorship options
Investment: £750
An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment instructions.
What You’ll Master
Introduction to GCP Data Engineering
- Overview of data engineering on Google Cloud Platform
- Key concepts: Data lakes, data warehouses, ETL
- Hands-on exercise: Setting up a GCP data environment
- Exploring GCP services: Cloud Storage, BigQuery, Dataflow
- Real-world use case: Ingesting raw data into Cloud Storage
- Navigating GCP Free Tier for data services
Data Storage and Ingestion
- Using Cloud Storage for scalable data storage
- Hands-on lab: Creating Cloud Storage buckets for raw data
- Ingesting data with Cloud Pub/Sub
- Real-world scenario: Streaming IoT sensor data
- Configuring Cloud Data Fusion for data ingestion
ETL with Dataflow and Dataproc
- Building ETL pipelines with Cloud Dataflow
- Hands-on lab: Creating a Dataflow pipeline for ETL
- Using Dataproc for big data processing with Spark
- Transforming data formats (e.g., CSV to Parquet)
- Real-world case study: ETL for e-commerce analytics
Data Warehousing and Querying
- Setting up BigQuery datasets
- Hands-on lab: Loading data into BigQuery
- Querying data with BigQuery SQL
- Real-world example: Building a BI dashboard
- Using Looker Studio for data visualization
Advanced Data Engineering
- Building serverless pipelines with Cloud Functions
- Hands-on lab: Triggering Cloud Functions for data processing
- Real-time analytics with Dataflow Streaming
- Orchestrating pipelines with Cloud Composer
- Monitoring pipelines with Cloud Monitoring
Why Choose This Course?
- Led by GCP-certified data engineers
- Hands-on labs with real-world datasets
- Flexible online format tailored to your schedule
- Build a portfolio with 3+ practical projects
- Prepares you for Google Cloud Data Engineer certification
- Lifetime access to course updates
Ready to Master GCP for Data Engineering?
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