Google Cloud Data Engineer Certification Prep
This course is part of Google Cloud Data Engineer Learning Path.
This focused certification preparation course helps candidates build confidence and readiness for the Google Cloud Professional Data Engineer exam. The course covers essential exam topics including data processing systems design, machine learning operations, and security compliance. Students learn through practical tips and examples, gaining deep insights into exam requirements and assessment areas. The curriculum addresses key competencies such as designing and operationalizing data processing systems, implementing machine learning models, and ensuring system reliability. Ideal for cloud professionals and data engineers seeking certification.
Instructors:
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What you'll learn
Master data processing system design principles
Understand certification exam requirements and structure
Learn to build and operate data processing systems
Implement machine learning models in production
Ensure security and compliance in data systems
Develop exam preparation strategies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 8 modules in this course
This comprehensive exam preparation course covers the essential components of the Google Cloud Professional Data Engineer certification. Students learn about designing and implementing data processing systems, operationalizing machine learning models, and ensuring security and reliability in cloud environments. The course provides detailed insights into exam topics while offering practical tips and strategies for success. Emphasis is placed on understanding certification requirements and developing a structured preparation approach.
Welcome to the course
Module 1
Understanding the Professional Data Engineer Certification
Module 2
Designing Data Processing Systems
Module 3
Building and Operationalizing Data Processing Systems
Module 4
Security, Policy, and Reliability
Module 6
Resources and Next Steps
Module 7
Course Resources
Module 8
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Data Engineer Learning Path
Payment options
Financial Aid
Instructor
Course Instructor, Technology and Product Planning
Jasmine McNeil is a seasoned manager and course instructor affiliated with Johns Hopkins University, where she leads the Technology and Product Planning course on Coursera. With dual master’s degrees in Business Administration and Management, she specializes in product strategy, agile project management, and human-centered design. Her teaching focuses on guiding learners through the end-to-end process of building digital health products—from ideation and research to deployment—by integrating healthcare technology, stakeholder management, and design thinking. Through insights from industry leaders and real-world case studies, she helps professionals understand how to bring innovative health technology solutions from concept to implementation.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.