Cloud Computing

GCP Model Monitoring: Detecting Quality Drift

AI models get worse over time as the world changes. Use Vertex AI Model Monitoring to set up automated alerts when the sentiment or factuality of your AI's answers begins to decline.

Level: AdvancedCloud Computing

What You'll Learn

Why AI model quality degrades over time (drift)
Feature drift vs prediction drift vs output quality drift
Vertex AI Model Monitoring setup and configuration
Custom quality metrics: sentiment, factuality, coherence
Automated alerting with Cloud Monitoring and PagerDuty
Baseline dataset creation for drift comparison
Triggering retraining pipelines on drift detection

What's Included

🧭AI Tutor🔒

Interactive learning path with AI-generated lessons read aloud by your personal tutor

🧪Practice Lab🔒

Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.

🎙️Mock Interviews🔒

AI interviewer asks tailored questions, gives real-time feedback and a score report

📝Evaluation🔒

MCQ questions (theory, practical, code) to test your knowledge and earn a badge

⚔️Challenge AI🔒

Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases

Course Syllabus

Module 1: Understanding Model Drift

  • •Data drift vs concept drift vs quality drift for LLMs
  • •Why LLM outputs degrade as the world changes
  • •Measurable quality signals: sentiment, factuality, toxicity
  • •Establishing a quality baseline from production logs
  • •Drift detection strategies: statistical tests vs LLM-as-judge

Module 2: Vertex AI Model Monitoring

  • •Enabling Model Monitoring on a Vertex AI endpoint
  • •Configuring skew and drift thresholds
  • •Logging prediction inputs and outputs for analysis
  • •Built-in feature attribution monitoring
  • •Custom monitoring jobs with Python pipelines

Module 3: Alerts & Remediation

  • •Setting up Cloud Monitoring alert policies
  • •Sending alerts to Slack, email, or PagerDuty
  • •Automated retraining trigger on threshold breach
  • •Dashboard: live quality metrics in Looker Studio
  • •Capstone: end-to-end drift detection and alert pipeline

You're all set

Everything in this course is unlocked.

Continue Learning →
✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI