Preparing for the Google Cloud Professional Data Engineer Exam
- 4.6
Approx. 9 hours to complete
Course Summary
This course prepares you for the Google Cloud Professional Data Engineer Exam, covering topics such as designing and building data processing systems, operationalizing machine learning models, and ensuring data security.Key Learning Points
- Learn how to design and implement data processing systems on Google Cloud Platform
- Master the skills to operationalize machine learning models
- Understand how to ensure data security and compliance
Related Topics for further study
Learning Outcomes
- Design and implement data processing systems on Google Cloud Platform
- Operationalize machine learning models
- Ensure data security and compliance
Prerequisites or good to have knowledge before taking this course
- Experience with data processing systems and machine learning models
- Familiarity with cloud computing
Course Difficulty Level
IntermediateCourse Format
- Self-paced online course
- Video lectures
- Hands-on labs
Similar Courses
- Architecting with Google Compute Engine
- Data Engineering on Google Cloud Platform
- Google Cloud Platform Fundamentals: Core Infrastructure
Related Education Paths
- Google Cloud Certified - Professional Data Engineer
- Google Cloud Certified - Associate Cloud Engineer
- Google Cloud Certified - Professional Cloud Architect
Related Books
Description
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
Outline
- Understanding the Professional Data Engineer Certification
- Introduction
- Understanding the Professional Data Engineer certification
- Getting Started with Google Cloud and Qwiklabs
- Information about the latest Exam Guide
- How to Send Feedback
- Exam Tips #1
- Exam Tips #2
- Module 1 Assessment
- Designing Data Processing Systems
- Designing and building
- Designing flexible data representations
- Design data pipelines
- Dataflow pipelines
- BigQuery and Dataflow Solutions
- Design data processing infrastructure
- Pub/Sub solutions
- Practice exam questions 01
- Exam Tips #3
- Designing Data Processing Systems: Exam Guide Review
- Building and Operationalizing Data Processing Systems
- Building data processing systems
- Cloud Storage, Cloud SQL, Cloud Bigtable
- Building and maintaining pipelines
- Building and maintaining processing infrastructure
- Practice exam questions 02
- Case study 01
- Challenge Lab 01 Intro
- Building and Operationalizing Data Processing Systems: Exam Guide Review
- Case Study 1
- Exam Tips #4
- Designing and Building Data Processing Systems
- Operationalizing Machine Learning Models
- Analyzing and modeling
- Analyzing data
- Machine learning
- Machine learning and unstructured data
- Training and validating
- Practice exam questions 03
- Case study 02
- Modeling business processes for analysis and optimization
- Feature engineering and performance
- Schema and performance
- Pipeline and performance
- Dividing work
- Bigtable performance
- Price estimation
- Case study 03
- Challenge Lab 02 Intro
- Operationalizing Machine Learning Models: Exam Guide Review
- Case Study 2
- Case Study 3
- Exam Tips #5
- Operationalizing Machine Learning Models
- Security, Policy, and Reliability
- Designing for Security and Compliance
- Practice exam questions 04
- Performing quality control
- Ensuring reliability
- Data visualization and reporting tools
- Practice exam questions 05
- Ensuring Solution Quality: Exam Guide Review
- Exam Tips #6
- Preparing for Reliability, Policy, and Security
- Resources and Next Steps
- Resources and next steps
- Practice exam quiz
- Resources
- Instructions of GRADED and UNGRADED Practice Exam Quizzes
- Exam Tips #7
- Sample Exam Quiz Questions
- Ungraded Practice Exam
- Graded Practice Exam
- Course Summary Quiz - Prep for the Exam
Summary of User Reviews
Read reviews on Preparing for the Cloud Professional Data Engineer Exam course on Coursera. Many users found the course to be comprehensive and helpful in preparing for the exam. Overall, the course has received positive feedback from users.Key Aspect Users Liked About This Course
Comprehensive contentPros from User Reviews
- Well-structured course material
- Good coverage of exam topics
- In-depth explanations of concepts
Cons from User Reviews
- Some users found the pace of the course to be too slow
- Lack of interaction with instructors
- Limited opportunities for hands-on practice