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Rakshitha V

Member since 2024

Machine Learning Operations (MLOps) for Generative AI Earned Mar 1, 2026 EST
Build a Certification Study Guide: PMLE Earned Feb 10, 2026 EST
Prompt Design in Vertex AI Earned Feb 8, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud Earned Feb 7, 2026 EST
Google Skills Arcade Certification Zone January 2026 Earned Jan 31, 2026 EST
Work Meets Play: A Cloud That Cares Earned Jan 31, 2026 EST
Prepare Data for ML APIs on Google Cloud Earned Dec 28, 2025 EST
Introduction to Responsible AI Earned Dec 11, 2025 EST
Introduction to Large Language Models Earned Sep 30, 2024 EDT
Introduction to Generative AI Earned Sep 20, 2024 EDT

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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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

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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.

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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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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.

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Infrastructure is the backbone of modern care. Following the blueprint set by Manipal Hospitals, this challenge dives into the backend architecture that powers healthcare at scale. From automating CI/CD pipelines to securing containerized workloads on GKE, you will explore how cloud-native tools directly impact real-world outcomes—like faster prescriptions and safer transitions of care. Learn to architect for reliability, ensuring that when the demand spikes, your system doesn't just run; it performs.

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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 Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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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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