Google Cloud Certified Professional Data Engineer

Google Cloud Foundations & Data Processing is designed to provide learners with a strong foundation in Google Cloud concepts and data engineering capabilities. The course introduces essential Google Cloud services and infrastructure concepts before progressing into data storage, database technologies, data processing, ETL, and workflow automation. The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will develop an understanding of how Google Cloud services can be used to store, process, transform, protect, and manage data workloads through scalable cloud-based solutions. Course Modules: Module 1: Introduction to Google Cloud Module 2: Data Engineering Fundamentals Module 3: Data Processing & ETL By the end of this course, a learner will be able to: Understand Google Cloud fundamentals, services, regions, zones, and the Google Cloud Console. Identify appropriate Google Cloud storage and database solutions for different data workloads. Understand data processing and ETL concepts using Google Cloud services. Design and deploy data processing pipelines using services such as Cloud Dataflow and Cloud Dataproc. Apply data preparation, protection, lifecycle management, and workflow orchestration concepts using Google Cloud services. This course is intended for learners who want to build foundational knowledge of Google Cloud and develop practical understanding of data engineering, data processing, ETL, and workflow automation capabilities.

Google Cloud Operations, Security & AI is designed to provide learners with a strong understanding of Google Cloud data ingestion, migration, cloud operations, security, monitoring, and artificial intelligence services. The course focuses on how Google Cloud capabilities can be used to build reliable data pipelines, migrate workloads, secure cloud environments, monitor operations, and integrate AI and machine learning into modern cloud solutions. The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will explore streaming data pipelines, migration strategies, DevOps and CI/CD, cloud security and governance, observability, encryption, and Google Cloud AI and machine learning services. Course Modules: Module 1: Data Ingestion & Migration Module 2: Operations, Security & Monitoring Module 3: AI & Machine Learning Services By the end of this course, a learner will be able to: Plan and build streaming data pipelines and understand data ingestion approaches on Google Cloud. Apply migration planning, Database Migration Service, and DevOps and CI/CD concepts to cloud solutions. Understand Google Cloud security, compliance, IAM, observability, encryption, and key management capabilities. Use Google Cloud AI APIs for speech, vision, and language translation use cases. Understand AI and machine learning model development and training using Google Cloud AI services. This course is intended for learners who want to develop practical knowledge of Google Cloud operations, security, data migration, and AI capabilities and build the skills required to manage secure, reliable, and intelligent cloud solutions.