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Ariana Hassany

Member since 2025

Silver League

4950 points
Create ML Models with BigQuery ML Earned أغسطس 3, 2025 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned يوليو 17, 2025 EDT
Google Cloud Essentials Earned يوليو 16, 2025 EDT
Building a Virtual Agent with Dialogflow CX Earned يوليو 15, 2025 EDT

Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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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.

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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

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Learn how to build a basic virtual agent for your contact center using Dialogflow CX.

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