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Hitasvi Patel

Member since 2025

Gold League

6120 points
DFCX Bot Building Quality Assurance and Deployment Lifecycle Earned Mar 20, 2025 EDT
Building a Virtual Agent with Dialogflow CX Earned Mar 14, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI Earned Mar 4, 2025 EST
Prompt Design in Vertex AI Earned Jan 19, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud Earned Jan 11, 2025 EST
Introduction to Responsible AI Earned Jan 11, 2025 EST
Introduction to Large Language Models Earned Jan 11, 2025 EST
Introduction to Generative AI Earned Jan 11, 2025 EST

This course explores the quality assurance best practices and the tools available in Dialogflow CX to ensure production grade quality during Virtual Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle

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

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

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