Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!
Welcome to your one-stop shop for passing the Google Cloud Professional Data Engineer Certification Exam!
Table of Contents
What you’ll learn
- Learn what’s needed to pass the Google Cloud Professional Data Engineer Certification Exam.
- Design Data Processing Systems with Google Cloud Tools.
- Operationalize Machine Learning Models for Deployment.
- Learn fundamentals of Big Data and Machine Learning.
- Discover how to use Google Cloud SQL and Spark.
- Learn to use BigQuery ML for predictions.
- Build real-time IoT Dashboards with DataFlow and Data Studio.
- Learn to use Google Cloud APIs for ML, such as Vision API and AutoML.
- Build Data Lakes and Data Warehouses on Google Cloud.
- Use DataFlow for Serverless Data Processing with Apache Beam.
- Understand the Google Cloud Platform Console.
- Create Virtual Machines with Google Compute Engines.
Course Content
- Introduction and Course Welcome –> 4 lectures • 21min.
- Introduction to Google Cloud –> 9 lectures • 1hr 19min.
- Google Storage Overview –> 12 lectures • 2hr 5min.
- Big Data Overview –> 6 lectures • 27min.
- Google Bigquery –> 17 lectures • 2hr 17min.
- Dataproc on Google Cloud –> 6 lectures • 32min.
- Cloud Data Fusion –> 4 lectures • 25min.
- Cloud Composer –> 4 lectures • 19min.
- Cloud Dataflow –> 4 lectures • 26min.
- Google Cloud Pub Sub –> 5 lectures • 23min.
- Data Studio on Google Cloud –> 3 lectures • 12min.
- Dataprep on Google Cloud –> 3 lectures • 14min.
- Machine Learning on GCP –> 9 lectures • 1hr 11min.
- Google Cloud Professional Data Engineer Exam Guide –> 3 lectures • 20min.
Requirements
Welcome to your one-stop shop for passing the Google Cloud Professional Data Engineer Certification Exam!
We’ve designed this course to be a complete resource for you to learn how to use Google Cloud to pass the Professional Data Engineer Certification Exam!
As you may have heard, Google Cloud is growing at a tremendous rate, with almost 50% YoY growth, and has a higher growth rate than overall cloud. Since Google has some of the most advanced data and machine learning offerings of any cloud provider, it makes sense to get skilled in this highly in-demand field today.
In this course we’ll teach you how to make data-driven decisions by collecting, transforming, and publishing data. This certification preparatory course will show you how to use Google Cloud to design, build, and operationalize data systems that can run at the scale of Google.
In this course, we’ll prepare you for the Google Cloud Professional Data Engineer Certification Exam by teaching you about the following:
- Designing Data Processing Systems
- Google Cloud Storage
- Data Pipelines
- BigQuery
- DataFlow
- Cloud Composer
- Operationalize Data Systems
- Cloud BigTable
- Cloud SQL
- Data Cleaning and Transformation
- Data Monitoring
- Machine Learning DevOps
- Google Cloud ML APIs
- Deploying ML Pipelines
- Infrastructure Decisions
- Data Solutions Quality
- Data Security and Access
- Test Suites and Troubleshooting
- Verification and Monitoring
- Data Portability
- And much more!
While this course is specifically designed to help you pass the Google Cloud Professional Data Engineer Certification Exam, we believe anyone that is interested in using Google Cloud to create development operations for the latest data products will benefit massively from taking this course.
