Course Overview
In this course, you will use your knowledge of developing agents using Agent Development Kit to productionize agents using Google's Agentic Stack on Google Cloud. After reviewing the agentic stack and different deployment targets, you will build an agent using session, memory and example services available within Google Cloud. You will integrate external tools using Model Context Protocol (MCP) and communicate with other agents using Agent2Agent (A2A) protocol. Finally, you will design applications with human-agent interaction in mind.
Who should attend
Generative AI developers, AI engineers and agentic system architects.
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
- Reinforce understanding of Google's Agentic Stack.
- Leverage state, memory, and example services for context management in agents
- Gain proficiency in Model Context Protocol (MCP) tool usage and server creation.
- Apply design principles necessary for creating A2A multi-agent solutions.
- Understand Human-Agent interaction patterns and build full, agent-enabled applications.
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