Learn how to design, build, and manage data processing systems using Google Cloud Platform’s powerful tools like BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Ideal for professionals aiming to master real-time, scalable, cloud-native data engineering.
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Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.
Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.
Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.
Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.
Overview of GCP services and architecture
Understanding regions, zones, and projects
IAM roles and access management
Google Cloud Storage (GCS)
Cloud SQL and Cloud Spanner
Introduction to BigQuery
Querying massive datasets with SQL
Optimizing performance and managing costs
Partitioning and clustering strategies
Concepts of messaging systems
Building event-driven architectures
Pub/Sub integration with other GCP services
Apache Beam fundamentals
Building and deploying Dataflow pipelines
Handling streaming and batch data in real-world scenarios
Introduction to workflow orchestration
Creating and managing DAGs
Scheduling and monitoring ETL workflows
Managing security and compliance
Setting up Cloud Monitoring and Logging
Best practices for production-level pipelines
Real-world data pipeline implementations
Use cases from domains like finance, e-commerce, and healthcare
Capstone project to build end-to-end GCP data architecture
GCP is trusted by top tech companies like Spotify, PayPal, and Snapchat
BigQuery is one of the fastest-growing enterprise data warehouses
Demand for GCP-skilled engineers is rapidly increasing
Seamless integration with AI/ML and analytics tools
Future-proof skillset aligned with cloud-first companies
Beginners and mid-level professionals exploring cloud data platforms
ETL Developers & SQL experts moving to cloud-native tools
Data analysts aiming to upskill in GCP
Software engineers and backend devs transitioning to data roles
Learn to build reliable, scalable data pipelines using GCP tools
Gain expertise in BigQuery, Dataflow, and Pub/Sub
Design and deploy batch and real-time data processing architectures
Prepare for GCP Data Engineer certifications and job roles
Instructor-led live sessions with hands-on labs
GCP account setup & cloud credits guidance
1:1 mentorship and query resolution
Resume + LinkedIn optimization
Certification of completion & placement support
"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"
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