Course Overview
In this course, you build and deploy an AI shopping assistant that offers context-aware support to customers of an online sports store.
Who should attend
AI and application developers looking to build out-of-the-box or low-code AI assistants.
Prerequisites
- Working knowledge of Google Cloud
- Basic knowledge of multi-agent systems
Course Objectives
- Recognize the value and purpose of CX Agent Studio
- Create and configure agents and tools
- Deploy application using a web widget
Outline: Create a Multi-Agent Application Using CX Agent Studio (CMACXA)
Module 1 - Getting started
Topics
- Review pre-work assignment
- Review agenda
Module 2 - Introduce the challenge and its solution
Module 3 - Task-by-task demos, practice, and reflection
Activities
- Task 1: Create the Cymbal Sports AI Assistant (root agent)
- Task 2: Set up bucket and create a data store tool
- Task 3: Create and configure the Company Policies Agent
- Task 4: Create an OpenAPI tool
- Task 5: Create and configure the Products and Orders Agent
- Task 6: Create and configure the Trends and Events Agent (bonus)
- Task 7: Deploy your new AI application using the web widget option
Module 4 - Course wrap-up
Topics
- Resources and next steps
- Assessment
- Summary