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Google

AgentOps: Operationalize AI Agents on Google Cloud

Google via Google Skills

Overview

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Learn the AgentOps practices needed to take generative AI agents from prototype to production. This course covers end-to-end observability, automating quality checks in CI/CD pipelines, and securing agent infrastructure for enterprise compliance. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

Syllabus

  • The Agent Lifecycle
    • What's in it for me?
    • Defining the AgentOps lifecycle
    • AgentOps on Google Cloud: Build and scale
    • AgentOps on Google Cloud: Govern and optimize
    • Quiz
  • CI/CD and Quality Assurance
    • Agent evaluation
    • Automated Quality Gates with Cloud Build
    • Canary deployments and traffic splitting
    • Automate quality checks to prevent bad agent deployments.
    • Evaluate ADK agent performance using the Agent Platform Generative AI Evaluation Service
    • Quiz
  • Access and Data Security for AI Agents
    • Identity and Access Management (IAM) for agents
    • Securing state and memory for AI agents
    • Data Perimeters and VPC Service Controls
    • Controlling what your AI agent can access
    • Quiz
  • Agent Behavior and Content Protection
    • Guardrails and conversation protection
    • Lab introduction: Sanitizing prompts and responses with Model Armor
    • Sanitize Prompts and Responses with Model Armor
    • Quiz
  • Agent Observability
    • The observability challenge
    • Instrumenting Agents with OpenTelemetry and Cloud Trace
    • Structured logging for non-deterministic system
    • Quiz
  • Summary
    • Course Summary
  • Your Next Steps
    • Claim credential

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