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Sreya Boyapati

Member since 2024

Diamond League

14152 points
Automate Data Capture at Scale with Document AI Earned Dec 28, 2025 EST
Prepare Data for ML APIs on Google Cloud Earned Dec 26, 2025 EST
The Arcade Trivia December 2024 Week 1 Earned Dec 7, 2024 EST
Advanced Conversation Design Earned Dec 3, 2024 EST
Conversation Design Fundamentals Earned Dec 3, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio Earned Dec 3, 2024 EST
Conversational AI Voice and Chat Integrations Earned Dec 3, 2024 EST
[DEPRECATED] Advanced Performance Measurement Earned Nov 22, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned Nov 22, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned Nov 22, 2024 EST
[DEPRECATED] Webhook fundamentals Earned Nov 22, 2024 EST
Introduction to Large Language Models Earned Oct 21, 2024 EDT
Introduction to Generative AI Earned Sep 28, 2024 EDT
[DEPRECATED]Introduction to Responsible AI Earned Sep 27, 2024 EDT

Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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Hey there! You're invited to game on with the Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!

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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences. Explore other content in the Gemini Agent Ready (GEAR) program.

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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.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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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

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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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. Explore other content in the Gemini Agent Ready (GEAR) program.

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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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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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