Course Overview of Agent Operations on Google Cloud:

This instructor-led course introduces learners to operationalizing AI agents on Google Cloud using Agent Operations (AgentOps) practices. Participants will explore how to manage, deploy, monitor, evaluate, secure, and optimize production-grade agentic systems using Google Cloud services and the Agent Development Kit (ADK). 

The course covers CI/CD pipelines for agents, observability using Cloud Logging and Cloud Trace, evaluation systems using Vertex AI Generative AI Evaluation Service, governance and security with Model Armor and Sensitive Data Protection, and FinOps strategies for optimizing AI agent costs. 

Through guided labs, demonstrations, and real-world operational workflows, learners will gain practical experience building scalable, secure, observable, and cost-efficient AI agent ecosystems on Google Cloud. 

After completing Agent Operations on Google Cloud, participants will be able to:

  • Understand AgentOps concepts and production agent challenges
  • Build CI/CD pipelines for AI agent deployments
  • Select deployment targets for agentic applications on Google Cloud
  • Implement observability and debugging workflows for agents
  • Use Cloud Logging and Cloud Trace for monitoring AI agents
  • Evaluate agent responses and behaviors using ADK and Vertex AI Evaluation Service
  • Implement security guardrails using Model Armor
  • Protect sensitive data using Sensitive Data Protection
  • Apply FinOps strategies for AI agent cost optimization
  • Build scalable and governed operational workflows for AI agents

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Key Features of Agent Operations on Google Cloud:

  • AgentOps Fundamentals on Google Cloud

  • Hands-On Learning Experience

  • CI/CD for AI Agent Deployments

  • Observability and Monitoring

  • Agent Evaluation and Quality Assurance 

  • Security and Governance for AI Agents

  • AI FinOps and Cost Optimization

  • Google Cloud AI Agent Ecosystem Exposure

Who should Attend Agent Operations on Google Cloud?

  • Application Developers
  • DevOps Engineers
  • ML Engineers
  • AI Platform Engineers
  • Professionals deploying AI agent systems on Google Cloud
  • Cloud Architects working with Generative AI solutions

Prerequisites of Agent Operations on Google Cloud

  • Completion of “Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine” or equivalent knowledge Python
  • programming knowledge
  • Understanding of prompt engineering concepts
  • Familiarity with Agent Development Kit (ADK) workflows
  • Experience with Google Cloud and AI application development

    • Why choose CloudThat as your training partner for Agent Operations on Google Cloud?

    •  Specialized GCP AI and AgentOps Expertise -CloudThat specializes in cloud, Generative AI, and agentic application technologies and delivers focused Google Cloud training programs with enterprise operational use cases.
    • Industry-Recognized Trainers - Our trainers are certified Google Cloud professionals with expertise in Vertex AI, AI agents, DevOps, MLOps, observability, and AI governance workflows.
    • Hands-On Learning Approach - CloudThat emphasizes practical learning through guided labs, CI/CD exercises, debugging workflows, evaluation systems, and AI security implementation scenarios.
    • Customized Learning Paths - Training programs are designed for developers, DevOps engineers, ML engineers, and cloud professionals working with AI agent systems. 
    •  Interactive Learning Experience - Sessions include demonstrations, collaborative operational workflows, troubleshooting activities, quizzes, and interactive discussions.
    • Placement Assistance and Career Support - CloudThat supports learners with AI learning paths, interview preparation, operational best practices, and career guidance in Generative AI and AgentOps.
    • Continuous Learning and Updates - Course content is continuously updated to align with the latest advancements in Vertex AI, AI operations, observability, security, and AI FinOps practices. 
    • Positive Reviews and Testimonials - Thousands of professionals and enterprises trust CloudThat for advanced cloud, AI, MLOps, and Google Cloud training programs.

    Learning objectives of Agent Operations on Google Cloud

    • This course enables learners to operationalize AI agents on Google Cloud using AgentOps best practices, CI/CD pipelines, observability frameworks, evaluation systems, governance controls, and AI FinOps strategies. 

    Course Outline of Agent Operations on Google Cloud: Download Course Outline

    Lecture Content

    • Challenges of Managing Production Agents
    • Core Principles of AgentOps
    • AgentOps on Google Cloud

    Learning Objectives

    • Navigate the challenges of managing production agents
    • Define the core principles of AgentOps
    • Architect operational workflows for AI agents on Google Cloud

    Lab Content

    • NA

    Lecture Content

    • CI/CD Review
    • Agentic Deployment Targets
    • CI/CD Tooling and Patterns on Google Cloud
    • Cloud Build Automation

    Learning Objectives

    • Leverage CI/CD tooling and deployment patterns for agents
    • Select appropriate deployment targets for AI agents
    • Build complete CI/CD pipelines for agentic solutions

    Lab Content

    • Lab: CI/CD for Agents on Google Cloud

    Lecture Content

    • Observability Review
    • Logging with Agent Callback Logging
    • Logging and Tracing with OpenTelemetry
    • Monitoring and Visualization Workflows

    Learning Objectives

    • Identify challenges addressed by observability solutions
    • Instrument ADK agents with structured logs
    • Enable tracing on Agent Engine and Cloud Run
    • Visualize observability data using BigQuery and Looker Studio

    Lab Content

    • Lab: Instrument and Debug Agents with Cloud Logging and Cloud Trace

    Lecture Content

    • Testing Generative AI Model Responses
    • Evaluating Model Responses
    • Evalset Management using ADK
    • Vertex AI Generative AI Evaluation Service

    Learning Objectives

    • Validate generative AI responses
    • Evaluate agent behavior, tool usage, and trajectories
    • Create and manage evalsets using ADK
    • Use Vertex AI Evaluation Service for agent evaluation

    Lab Content

    • Lab: Evaluating Agents with ADK

    Lecture Content

    • Model and Context Security
    • Agent Access Control
    • Model Armor
    • ensitive Data Protection

    Learning Objectives

    • Secure model inputs and outputs using Model Armor
    • Protect sensitive information using Sensitive Data Protection
    • Secure communication between users and AI agents
    • Implement governance strategies for agentic applications

    Lab Content

    • Lab: Enhancing AI Security with Model Armor and Sensitive Data Protection

    Lecture Content

    • Primary Cost Drivers for AI Agents
    • Cost-Efficient Agentic Systems
    • FinOps on Google Cloud
    • AI Cost Optimization Strategies

    Learning Objectives

    • Identify major cost drivers in AI agent systems
    • Reduce token and model costs
    • Architect cost-efficient agentic solutions
    • Implement measurable AI FinOps loops on Google Cloud

    Lab Content

    • Final Discussion / Cost Optimization Review

    Certification details of Agent Operations on Google Cloud

      CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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    Course ID: 28710

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    FAQs for Agent Operations on Google Cloud

    This course is designed for developers, DevOps engineers, ML engineers, and professionals operationalizing AI agents on Google Cloud.

    Yes. Familiarity with ADK and multi-agent deployment workflows is recommended.

    The course covers AgentOps, CI/CD for agents, observability, evaluation systems, security guardrails, Model Armor, Sensitive Data Protection, and AI FinOps.

    Yes. The course includes practical labs for CI/CD, observability, evaluation, and AI security workflows.

    Vertex AI, Vertex AI Agent Engine, Vertex AI Agents, Cloud Logging, Cloud Trace, Model Armor, Sensitive Data Protection, BigQuery, and Looker Studio.

    Yes. Learners will implement logging, tracing, and monitoring workflows using Cloud Logging and OpenTelemetry.

    Yes. The course includes Model Armor, Sensitive Data Protection, and governance strategies for AI agents.

    Yes. Learners will explore AI FinOps strategies and cost-efficient agentic architectures.

    1-day instructor-led training with lectures, labs, demos, troubleshooting exercises, and operational workflows.

    Yes. This is an advanced-level course intended for professionals already familiar with AI agents, ADK, and Google Cloud AI workflows.

    Enquire Now