🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCPCIBMAS

Build Multi-Agent Systems Using Google's Agentic Stack Training

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.

Google Cloud
✓ Official training Google CloudLevel Advanced⏱️ 0.5 day (4h)

What you will learn

  • 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 that work together using the Agent2Agent (A2A) protocol
  • Deploy agents to Cloud Run and Agent Engine
  • Expose agent to users through Gemini Enterprise

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

Target audience

  • Application Developers, DevOps Engineers, ML Engineers, Anyone deploying agentic applications on Google Cloud

Training Program

4 modules to master the fundamentals

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

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
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

Related Trainings

Google Cloud

Deploy multi-agent systems with Agent Development Kit and Agent Engine

In this course, you'll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You'll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.

1 d
Advanced
Google Cloud

Build Production-Ready Agents on Google Cloud

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.

1 d
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Upcoming sessions

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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Troubleshooting / Problem Solving — Diagnosing and fixing a breakdown, bug, or malfunction.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

Application developers, DevOps engineers, ML engineers, and anyone deploying agentic applications on Google Cloud.
Completion of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine, or equivalent knowledge, and strong familiarity with the business domains and processes being addressed.
You will create capable agents with the Agent Development Kit, access remote tools through the Model Context Protocol, build systems of agents that work together using the Agent2Agent (A2A) protocol, deploy agents to Cloud Run and Agent Engine, and expose an agent to users through Gemini Enterprise.
Yes. You implement sensitive data guardrails with Model Armor and Sensitive Data Protection templates, and enable observability of the agentic system with Cloud Trace and Cloud Logging.
The workshop lasts 4 hours and is led by a SFEIR Institute instructor. It includes the lab "Implement and test the data agent" and a challenge lab: "Complete, deploy, and test the intervention agent".
Yes. This is an official Google Cloud workshop delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

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