Build Multi-Agent Systems Using Google's Agentic Stack (BMASGAS)

 

Course Overview

This 4-hour ILT course develops skills in building multi-agent solutions using ADK, MCP, A2A, Agent Engine, Cloud Run and Gemini Enterprise. You will build and deploy a realistic multi-agent system on Google Cloud with an integrated agent in Gemini Enterprise to solve a realistic use case related to customer engagement.

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, or equivalent knowledge
  • Strong familiarity with the business domains and processes being addressed

Course Objectives

  • Create capable agents using Agent Development Kit
  • Access remote tools using Model Context Protocol
  • Implement sensitive data guardrails with Model Armor and Sensitive
  • Data Protection templates
  • Enable agentic system observability with Cloud Trace and Cloud Logging
  • Build systems of agents the work together using the Agent2Agent (A2A) protocol
  • Deploy agents to Cloud Run and Agent Engine
  • Expose agent to users through Gemini Enterprise

Outline: Build Multi-Agent Systems Using Google's Agentic Stack (BMASGAS)

Module 1 - Getting Started

Topics

  • Course introduction
  • Pre-work discussion
  • Introduce the challenge and its solution

Module 2 - Implement and test the data agent

Objectives

  • Set up development environment
  • Review base agent code
  • Implement MCP tooling
  • Enable logging and tracing
  • Add Model Armor sanitization
  • Create an A2A server
  • Test locally and deploy to Cloud Run

Activities Lab: Implement and test the data agent

Module 3 - Implement and test the improvement agent

Objectives

  • Review base agent code
  • Add authentication tooling
  • Build RemoteA2aAgent objects
  • Create AgentTools
  • Add tools to agent
  • Test locally and deploy to Agent Engine
  • Add agent to Gemini Enterprise

Module 4 - Complete the multi-agent solution

Objectives

  • Complete and deploy second agent
  • Review third agent code
  • Implement MCP tooling
  • Create an A2A server
  • Deploy and test the entire solution

Activities Challenge Lab: Complete, deploy, and test the intervention agent

Prices & Delivery methods

Online Training

Duration
4 hours

Price
  • CAD 485
Classroom Training

Duration
4 hours

Price
  • Canada: CAD 485

Schedule

Currently there are no training dates scheduled for this course.