Agent Operations on Google Cloud
- Código del Curso GO5979
- Duración 1 Día
Otros Métodos de Impartición
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Método de Impartición
Este curso está disponible en los siguientes formatos:
-
Cerrado
Cerrado
-
Clase de calendario
Aprendizaje tradicional en el aula
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Aprendizaje Virtual
Aprendizaje virtual
Solicitar este curso en un formato de entrega diferente.
Temario
Parte superiorIn this course, you will use your knowledge of developing agents using the Agent Development Kit to operationalize agents using Agent Operations (AgentOps) on Google Cloud.
After reviewing the challenges of managing production agents and deployment targets, you will build CI/CD pipelines for agents and leverage a governed artifact management ecosystem. You will implement evaluation systems using the GenAI Evaluation Service and ADK and apply observability solutions for debugging with Cloud Logging and Cloud Trace. You will integrate security guardrails against agent-specific threats using Model Armor and Sensitive Data Protection. Finally, you will apply FinOps strategies to understand and manage agent costs.
Updated Oct. 2026
Calendario
Parte superiorDirigido a
Parte superiorApplication Developers, DevOps Engineers, ML Engineers, Anyone deploying agentic applications on Google Cloud
Objetivos del Curso
Parte superiorAfter this course participants should be able to:
- Navigate the challenges of managing production agents
- Define the core principles of AgentOps
- Architect agent operations on Google Cloud
- Leverage CI/CD tooling and patterns for agentic solutions on Google Cloud
- Select the deployment target for agents on Google Cloud
- Build a complete CI/CD pipeline for an agent
- Identify challenges addressed by observability
- Instrument an ADK agent with structured logs
- Enable OpenTelemetry tracing on Agent Engine and Cloud Run
- Leverage BigQuery and Looker Studio for visualization
- Perform validation on model responses
- Evaluate agent behavior, tool usage, and trajectory correctness
- Create and manage evalsets using ADK Web UI
- Evaluate evalsets with ADK UI, CLI, or code
- Use the Agent Platform Generative AI Evaluation Service
- Secure model inputs and outputs with Model Armor
- Protect sensitive data using Sensitive Data Protection with Model Armor
- Secure the connection between a user and an agent
- Identify the primary cost drivers of AI agents
- Reduce token and model costs
- Architect cost-efficient agent systems
- Implement a measurable AI FinOps loop on Google Cloud
Contenido
Parte superior01- Introduction to AgentOps on Google Cloud
- Challenges of managing production agents
- Core principles of AgentOps
- AgentOps on Google Cloud
02- CI/CD for Agent Deployments
- CI/CD review
- Agentic deployment targets
- CI/CD tooling and patterns on Google Cloud
- Cloud Build automation
- Activities for Module 2:
- Lab: CI/CD for Agents on Google Cloud
- Lab: CI/CD for Agents on Google Cloud
03- Observability for Debugging and Improvement
- Observability review
- Logging with agent callback logging
- Logging and tracing with OpenTelemetry
- Activities for Module 3:
- Lab: Instrument and Debug Agents with Cloud Logging, and Cloud Trace
04- Agent Evaluation and Quality Assurance
- Testing generative AI model responses
- Evaluating model responses
05- Security and Governance
- Model and context security
- Agent access
06- Applying FinOps to Agent Costs
- Primary cost drivers for AI Agents
- Cost-efficient agentic systems
- FinOps on Google Cloud
Pre-requisitos
Parte superior- Completion of "Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine" or equivalent knowledge
- Python
- Prompt engineering
- Agent Development Kit
Certificación de Prueba
Parte superiorNone
Siguientes Cursos Recomendados
Parte superiorNone
Más información
Parte superior- Official course book provided to participants
