Course Overview
In 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.
Who should attend
Application Developers, DevOps Engineers, ML Engineers and anyone deploying agentic applications on Google Cloud
Prerequisites
- Completion of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine (DMASADKAE) or equivalent knowledge
- Python
- Prompt engineering
- Agent Development Kit
Course Objectives
- Optimize efficiency and consistency of agent deployments with CI/CD
- Ensure agent quality by implementing and operating evaluation systems
- Leverage observability solutions for debugging and continuous improvement
- Establish guardrails against agent-specific threats
- Build and use a governed artifact management ecosystem
- Apply FinOps strategies to understand and manage agent costs