COURSE OUTLINE:

Module 1: Introduction to Google Cloud Platform

• Google Platform Fundamentals Overview
• Google Cloud Platform Big Data Products

Module 2: Compute and Storage Fundamentals

• CPUs on Demand (Compute Engine)
• Global Filesystem (Cloud Storage)
• CloudShell
• Lab: Set Up an Ingest Transform Publish Data Processing Pipeline

Module 3: Data Governance and Security

• Importance of Data Governance
• Data Security Best Practices
• Compliance and Regulatory Considerations
• Data Encryption and Access Controls
• Monitoring and Auditing Data Access
• Lab: Implementing Data Governance and Security

Module 4: Data Analytics on the Cloud

• Stepping-Stones to the Cloud
• Cloud SQL: Your SQL Database on the Cloud
• Spark on Dataproc

Module 5: Scaling Data Analysis

• Fast Random Access
• Datalab
• Lab: Build a Machine Learning Dataset

Module 6: Machine Learning

• Introduction to TensorFlow Datasets
• Pre-built Models for Common Needs

Module 7: Data Processing Architectures

• Message-Oriented Architectures with Pub/Sub
• Reference Architecture for Real-Time and Batch Data Processing