GCPCHGEMADK

Cloud Hero: GenAI with Agent Platform and ADK

This game guides you through Agent Studio on Gemini Enterprise Agent Platform, where you'll use Gemini for prompt engineering and multimodal analysis. You'll then build and deploy scalable multi-agent systems with the Agent Development Kit (ADK), equipping them with various tools. Master advanced AI application development.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 0.5 day (4.5h)

What you will learn

  • Get Started with Agent Studio on Gemini Enterprise Agent Platform
  • Agent Platform Generative AI with Agent Platform: Prompt Design
  • Multimodality with Gemini
  • Get started with Agent Development Kit (ADK)

Prerequisites

  • Understanding of basic Python programming
  • General API concepts awareness

Target audience

  • Someone who is brand new to Agent Studio on Gemini Enterprise Agent Platform and ADK

Training Program

4 modules to master the fundamentals

Topics covered
  • →Getting Started
  • →Agent Studio on Gemini Enterprise Agent Platform
Activities

GSP1154 - Get Started with Agent Studio on Gemini Enterprise Agent Platform (60 mins)

Topics covered
  • →Agent Platform Generative AI
  • →Agent Studio
  • →Prompt Design
Activities

GSP1151 - Agent Platform Generative AI: Prompt Design (45 mins)

Topics covered
  • →Multimodality
  • →Gemini
Activities

GSP1210 - Multimodality with Gemini (60 mins)

Topics covered
  • →Agent Development Kit
  • →ADK
Activities

GENAI104 - Get started with Agent Development Kit (ADK) (90 mins)

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This game utilizes the Agent Development Kit (ADK) to build and orchestrate multi-agent systems using specialized agents for modular coordination. You will equip these agents with Agent Search, Google Search, and custom function tools to extend their capabilities. The process includes implementing a reasoning layer that communicates with remote MCP servers and deploying these agentic applications to Cloud Run and Gemini Enterprise Agent Platform. To ensure output quality, you will evaluate agent performance using the Agent Platform Generative AI Evaluation Service. Finally, you will develop a root agent architecture to manage sub-agents, handle session states, and retrieve values for complex instructions.

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Build Agents with the Agent Development Kit

In this course, you'll learn to use the Agent Development Kit (ADK) to build systems where multiple AI agents collaborate on complex tasks. You'll start with the ADK agent model: how ADK represents agents, tools, and runners, and how a single agent is configured and run. You'll then make tools the model can call, persist session state across agents, and instrument the execution lifecycle with callbacks and plugins. Next, you'll orchestrate multiple agents using ADK's template workflow agents and graph-based workflows, and ground them in enterprise data through multi-source retrieval and MCP integrations. Finally, you'll deploy a multi-agent system to Agent Runtime as a managed service and register and share it through Gemini Enterprise so users across an organization can reach it.

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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
  • Serious Game / Business Game — Game-based learning simulating professional challenges.
  • 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

Developers who want a compact, hands-on path from prompt engineering on Agent Platform to their first agents built with the ADK.
You will be able to work in Agent Studio on Gemini Enterprise Agent Platform, apply prompt design for generative AI, use Gemini for multimodal analysis, and get started with the Agent Development Kit.
Cloud Hero is Google Cloud's gamified lab format: instead of following slides, you work through a series of hands-on labs on real Google Cloud projects, scored as you progress. The competitive framing is what keeps a room of practitioners engaged for a whole session.
The session runs 145 hands-on labs: getting started with Agent Studio on Gemini Enterprise Agent Platform, prompt design, multimodality with Gemini, and getting started with the ADK.
This course is contracted via Google Cloud only: it cannot be purchased directly from SFEIR Institute. Contact us to learn how to order it through Google Cloud.
Yes. Cloud Hero is an official Google Cloud format, delivered here by SFEIR Institute, a certified Google Cloud Training Partner and Google Cloud Training Partner of the Year 2025.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities. Because this course is contracted via Google Cloud, contact us to review the options that apply to your situation.

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