Menjadi anggota sejak 2024
Conversational AI on Vertex AI and Dialogflow CX
Earned Jul 31, 2026 EDT
Customer Experience Agent Studio: Dasar-Dasar
Earned Jul 13, 2026 EDT
Implement Enterprise Design Patterns with CX Agent Studio
Earned Sep 18, 2025 EDT
[DEPRECATED] Building Complex End to End Self-Service Experiences in Dialogflow CX
Earned Sep 11, 2025 EDT
[DEPRECATED] Basic Performance Measurement
Earned Sep 6, 2025 EDT
In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
Kursus ini bertujuan untuk membekali desainer dan builder percakapan dengan konsep serta keterampilan praktis dalam merancang, membangun, dan menguji agen Pengalaman Pelanggan multimodal dan multiagen yang canggih menggunakan Customer Experience Agent Studio (CX Agent Studio).
This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.
This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.
This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it