Google Professional Machine Learning Engineer Certification

Warning

These notes are a work in progress, and are therefore currently incomplete.

Key Fundamentals To Know

• Big Data
• Machine Learning
  • AI ML Lifecycle
  • The Path to Machine Learning
  • Google Cloud Machine Learning Best Practices
  • Common Pitfalls of Machine Learning
  • Bias in Machine Learning
  • Training-Serving Skew
• Message Oriented Architecture
• Data processing:
  • Batch
    • Processing/analysis happens on set of stored data
    • e.g. Payroll, billing, weekly/monthly etc.
  • Streaming
    • Flow of records generated from different data sources
    • Processing as data flows through system in real-time
    • e.g. Fraud detection
• Regression
• Classification
  • Precision and Recall
  • Confusion Matrix
  • Cloud Data Loss Prevention

Google Products

• Google Cloud Machine Learning and AI
• Google Cloud Storage Decision Tree
• TPUs
• Apache Beam
• Dataflow
• Looker
• Looker Studio
• BigQuery
  • BigQuery ML
• Vertex AI
  • AutoML
  • Vertex AI ML Workflow