Google - Google Cloud Certified - Professional Data Engineer

Curriculum

Part A:

• Module 1- Introducing Google Cloud Platform
• Module 2- Compute and Storage Fundamentals
• Module 3- Data Analytics on the Cloud
• Module 4- Scaling Data Analysis
• Module 5- Machine Learning
• Module 6- Data Processing Architectures
• Module 7- Summary

Part B:

• Module 1- Google Cloud Dataproc Overview
• Module 2- Running Dataproc Jobs
• Module 3- Integrating Dataproc with Google Cloud Platform
• Module 4- Making Sense of Unstructured Data with Google's Machine Learning APIs
• Module 5- Serverless data analysis with BigQuery
• Module 6- Serverless, autoscaling data pipelines with Dataflow
• Module 7- Getting started with Machine Learning
• Module 8- Building ML models with Tensorflow
• Module 9- Scaling ML models with CloudML
• Module 10- Feature Engineering
• Module 11- Architecture of streaming analytics pipeline
• Module 12- Ingesting Variable Volumes
• Module 13- Implementing streaming pipelines
• Module 14- Streaming analytics and dashboards
• Module 15- High throughput and low-latency with Bigtable

Part C:

• Module 1- Understanding the Professional Data Engineer Certification
• Module 2- Sample case studies for Professional Data Engineer exam
• Module 3- Designing and Building Review
• Module 4- Analyzing and Modelling Review
• Module 5- Reliability, Policy and Security Review