Google Cloud Professional Data Engineer – A Complete Guide 

Master the fundamentals of Google Cloud Platform (GCP) and transform into a skilled Data Engineer in this comprehensive, hands-on course. Designed for all levels and those looking to solidify their knowledge, this “Complete guide” course takes you from foundational concepts to advanced data engineering techniques, leveraging the full power of GCP’s cutting-edge tools. 

Through practical exercises, real-world projects, and tutorials, you’ll learn to design, build, and manage scalable data pipelines and solutions. By the end of the course, you’ll be well-equipped to handle complex data engineering challenges and ready to tackle GCP certification exams with confidence. 

What You’ll Learn

• Foundations of GCP: Overview of GCP services, architecture, and ecosystem. 

• Data Storage: Work with Google Cloud Storage, BigQuery, and Cloud SQL to store, query, and analyze data. 

• ETL Pipelines: Design and build efficient Extract, Transform, Load (ETL) workflows using Dataflow, Dataproc, Data Fusion and Dataprep. 

• Stream Processing: Implement real-time data processing pipelines with Pub/Sub and Dataflow. 

• Machine Learning Integration: Explore BigQuery ML and AI Platform for predictive analytics and machine learning models. 

• Infrastructure as Code: Use tools like Terraform  to automate infrastructure. 

• Optimization and Monitoring: Optimize performance and cost, and monitor pipelines using Cloud Monitoring and Cloud Logging. 

Course Highlights

• Step-by-step guidance for GCP Data Engineer certification. 

• Insights from industry experts and real-life use cases. 

• Access to a supportive community of learners and mentors.  

• Hands-on projects with real-world datasets. 

Who Should Enroll

• Aspiring data engineers with no prior cloud experience. 

• Professionals transitioning to a data engineering role. 

• Existing engineers looking to specialize in GCP. 

Embark on your journey from zero to hero and unlock your potential as a GCP Data Engineer today! 

For Self Learning

Please click this link to enroll in a self-learning course on Udemy

To Enroll into Class Room Training

The next batch is starting on Jan 09, 2025.