Create Agents with AI in CX Agent Studio
Google Developers
📌 About the Event
Create Agents with AI in CX Agent Studio is a highly focused, virtual masterclass running under the prestigious Google Cloud Labs: OnAir program. Bypassing theoretical slide decks, Labs: OnAir functions as a rapid-fire virtual classroom environment where Google Cloud engineers and global developers get straight to the code to solve complex, real-world architectural problems.
This specific technical session introduces developers to CX Agent Studio, a powerful visual builder framework. The session focuses on building, testing, and deploying complex, multi-modal conversational AI agents. Rather than coding rigid, linear dialog trees from scratch, attendees will learn to integrate live CRM data sets and use Google’s Gemini models to handle natural language customer experience (CX) workflows at scale.
📅 Event Logistics & Status
- Live Broadcast Date: June 24, 2026
- Broadcast Window: 9:00 AM – 10:00 AM (GMT+5:30 / India Standard Time)
- Technical Difficulty Tiers: Introductory-Level Architecture & Hands-on Lab Sandbox.
- Lead Technical Instructor: May Kim (Applied AI Specialist CE, JAPAC, Google Cloud).
🚀 Hands-on Lab Curriculum & Learning Objectives
During this single, fast-paced hour, participants will build inside a live development console to master the following core competencies:
- 🛠️ Component Architecture: Reverse-engineer, stress-test, and dissect a production-ready sample conversational agent to deeply examine its underlying mechanics—including visual node routing, explicit system instructions, and external API execution tools.
- 🧠 AI-Augmented Building: Create an intelligent customer agent from scratch using native AI augmentation. You will learn to leverage Gemini to gather user information dynamically and upload corporate knowledge documents to automatically train your agent’s context.
- 🔗 Data Integration & Configuration: Configure advanced agent elements inside the primary management console, bridging the gap between unstructured text data and structured enterprise CRM databases to streamline customer lookup workflows.