Overview
Key Features
The purpose of this Preparing for the Google Cloud Professional Data Engineer Exam offered by Coursera in partnership with Google Cloud 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.
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Visit programme websiteProgramme Structure
Courses include:
Understanding the Professional Data Engineer Certification
Designing Data Processing Systems
Building and Operationalizing Data Processing Systems
Operationalizing Machine Learning Models
Security, Policy, and Reliability
Resources and Next Steps
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Information Technology (IT) General Engineering & Technology Web Technologies & Cloud Computing View 62 other Short Courses in General Engineering & Technology in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Advanced Level
- The Data Engineering on Google Cloud Platform specialization or equivalent learning and 6 months experience with cloud computing and data engineering
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.