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Roshan Kumar

Member since 2019

Create Embeddings, Vector Search, and RAG with BigQuery Earned מרץ 27, 2025 EDT
Google Security Operations - Fundamentals Earned אוק 18, 2024 EDT
Google Security Operations - SOAR Developer Earned אוג 8, 2024 EDT
Google Security Operations - SIEM Rules Earned אוג 1, 2024 EDT
Google Security Operations - SOAR Analyst Earned יול 24, 2024 EDT
Introduction to Responsible AI - בעברית Earned יונ 21, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned יונ 21, 2024 EDT
[DEPRECATED] SOAR Fundamentals Earned יונ 21, 2024 EDT
Gemini for Cloud Architects Earned אפר 30, 2024 EDT
Gemini in Google Slides Earned אפר 30, 2024 EDT
Security Practices with Google Security Operations - SIEM Earned אפר 13, 2024 EDT
Gemini for Security Engineers Earned מרץ 7, 2024 EST
Introduction to Image Generation - בעברית Earned דצמ 13, 2023 EST

This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.

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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.

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This course helps developers customize Chronicle and augment its abilities with third party integrations.

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Get hands-on experience applying and building rules for Chronicle. You learn what YARA-L is and how to customize & create event rules.

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This course helps you understand how to use Chronicle to properly handle security incidents.

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זהו קורס מבוא ממוקד שמטרתו להסביר מהי אתיקה של בינה מלאכותית, למה היא חשובה ואיך Google נוהגת לפי כללי האתיקה של הבינה המלאכותית במוצרים שלה. מוצגים בו גם 7 עקרונות ה-AI של Google.

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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 course will familiarize you with the core functionality of Chronicle, including the user interface, connections, and settings.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow. Duet AI was renamed to Gemini, our next-generation model.

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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.

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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture. Duet AI was renamed to Gemini, our next-generation model.

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בקורס נלמד על מודלים של דיפוזיה, משפחת מודלים של למידת מכונה שיצרו הרבה ציפיות לאחרונה בתחום של יצירת תמונות. מודלים של דיפוזיה שואבים השראה מפיזיקה, וספציפית מתרמודינמיקה. בשנים האחרונות, מודלים של דיפוזיה הפכו לפופולריים גם בתחום המחקר וגם בתעשייה. מודלים של דיפוזיה עומדים מאחורי הרבה מהכלים והמודלים החדשניים ליצירת תמונות ב-Google Cloud. בקורס הזה נלמד על התיאוריה שמאחורי מודלים של דיפוזיה, ואיך לאמן ולפרוס אותם ב-Vertex AI.

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