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Google Cloud Professional Data Engineer Certification
What you’ll learn
Our students work at..
Description
Ready to become a certified Google Cloud Professional Data Engineer? In today’s data-driven world, organizations depend on experts who can harness the power of Google Cloud Platform (GCP) to design, build, and manage robust data solutions. This GCP Data Engineer Certification Course is your hands-on guide to earning one of the most sought-after credentials in cloud and data engineering.
What You’ll Learn:
- Foundations of GCP:
- Get started with Google Cloud Platform by exploring its core services—including Compute Engine, Cloud Storage, and BigQuery.
- Understand GCP’s architecture, data security fundamentals, and billing concepts.
- Designing Data Processing Systems:
- Learn to design scalable and reliable data pipelines using tools like Dataflow and Dataproc.
- Build real-time and batch processing systems that turn raw data into actionable insights for modern businesses.
- Building and Managing Data Storage:
- Master different GCP storage options, from Cloud SQL and Spanner to Bigtable and Datastore.
- Learn how to choose the right storage solution for different data workloads and compliance requirements.
- Data Ingestion and Transformation:
- Ingest data using Pub/Sub and Dataflow, handling streaming and batch data seamlessly.
- Clean, enrich, and transform data at scale using Google Cloud’s powerful ETL (Extract, Transform, Load) services.
- Advanced Analytics with BigQuery:
- Unleash the full potential of BigQuery for lightning-fast SQL analytics.
- Optimize queries, manage cost controls, automate loads, and export results to downstream apps and visualizations.
- Machine Learning Integration:
- Use AI Platform and BigQuery ML to create, train, evaluate, and deploy machine learning models directly in the cloud.
- Explore data science workflows, and see how cloud-based ML is transforming data engineering.
- Monitoring, Security, and Best Practices:
- Monitor, troubleshoot, and optimize data pipelines for efficiency and reliability.
- Implement security, privacy, and compliance best practices, using IAM, Encryption, and audit logging features.
- Prepare for real-world scenarios and the GCP Professional Data Engineer certification exam with practical quizzes, and case studies.
Who Should Take This Course?
- Aspiring data engineers, cloud architects, and IT professionals looking to upskill in Google Cloud.
- Data scientists, analysts, or developers seeking to build end-to-end data solutions and automation in GCP.
- Anyone preparing to ace the Google Cloud Professional Data Engineer certification exam.
Join us and gain the expertise, hands-on experience, and confidence to build scalable, secure data solutions on GCP—and propel your tech career to new heights!
What our students say
About the instructor
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.
Introduction
GCP Core Fundamentals & Understanding
GCP Networking
Identity and Access Management (IAM) in GCP
Cloud Observability
Development & CI/CD
Data Security & Encryption
Data Ingestion Options
Data Storage Options
Database (SQL, NoSQL and memory)
Data Orchestration Options
Data Processing
Data Integration & Transformation Tools
Data Warehouse & Analytics Options
Machine Learning Options
Multi-Cloud & Lakehouse Solutions
Data Management and Governance
GCP Data Engineering Architecture and Landscape
GCP Data Engineer Mock Exam
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