GCPCICXAS

Create a Multi-Agent Application Using CX Agent Studio Training

In this course, you will build and deploy a multi-agent application that offers context-aware support to customers of an online sports store using CX Agent Studio.

Challenge: The customers of Cymbal Sports are abandoning their carts due to a fragmented experience when reviewing company policies, ordering products, and learning about sports trends and events.

Solution: As the lead developer, you propose building a Cymbal Sports AI Assistant with a multi-agent architecture using CX Agent Studio.

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

What you will learn

  • Build and deploy a multi-agent application using CX Agent Studio
  • Create and configure root agents, tools, and sub-agents
  • Deploy a multi-agent application using the web widget option
  • Identify resources and advanced capabilities of CX Agent Studio

Prerequisites

  • Working knowledge of Google Cloud
  • Knowledge of generative AI and multi-agent application basic concepts

Target audience

  • Software engineers and application developers looking to build out-of-the-box or low-code AI assistants.

Training Program

4 modules to master the fundamentals

Objectives
  • Recognize the value and purpose of CX Agent Studio
  • Create the Cymbal Sports AI Assistant (root agent)
Topics covered
  • →Value and purpose of CX Agent Studio
  • →Root agent architecture
  • →Cymbal Sports use case challenge and solution overview
Activities

Lab: Create the Cymbal Sports AI Assistant

Objectives
  • Set up bucket and create a data store tool
  • Create and configure the Company Policies Agent
Topics covered
  • →Google Cloud Storage buckets for data stores
  • →Creating data store tools
  • →Company Policies Agent configuration
Activities

Lab: Set up bucket and create a data store tool

Lab: Create and configure the Company Policies Agent

Objectives
  • Create an OpenAPI tool
  • Create and configure the Products and Orders Agent
Topics covered
  • →OpenAPI tools in CX Agent Studio
  • →Products and Orders Agent configuration
  • →Sub-agent routing
Activities

Lab: Create an OpenAPI tool

Lab: Create and configure the Products and Orders Agent

Objectives
  • Create and configure the Trends and Events Agent
  • Deploy a multi-agent application using the web widget option in CX Agent Studio
  • Identify resources and more advanced features and capabilities of CX Agent Studio
Topics covered
  • →Trends and Events Agent configuration (Challenge task)
  • →Web widget deployment option
  • →Advanced features and capabilities of CX Agent Studio
Activities

Lab: Create and configure the Trends and Events Agent

Lab: Deploy your new AI application using the web widget option

Related Trainings

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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).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
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

AI and application developers looking to build out-of-the-box or low-code AI assistants.
A working knowledge of Google Cloud and basic knowledge of multi-agent systems.
You will recognize the value and purpose of CX Agent Studio, create and configure agents and tools, and deploy the application using a web widget.
An AI shopping assistant that offers context-aware support to the customers of an online sports store. You create the root agent, set up a bucket and a data store tool, create a Company Policies agent, an OpenAPI tool and a Products and Orders agent, then deploy the application with the web widget option. A bonus task adds a Trends and Events agent.
This 4-hour workshop is a guided build of one application. The 2-day Build Agents with CX Agent Studio course goes further: voice agents, data stores, evaluation, integrations and launch practices.
The workshop lasts 4 hours and is led by a SFEIR Institute instructor. It is organized task by task: a demo, hands-on practice and a reflection for each step.
Yes. This is an official Google Cloud workshop delivered by SFEIR Institute, a certified Google Cloud Training Partner.

790€ excl. VAT

per learner