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Meirah Alsereidi

Member since 2024

Silver League

9485 points
Google Security Operations - Deep Dive Earned Mar 25, 2025 EDT
[Deprecated]Google Security Operations - Fundamentals Earned Mar 25, 2025 EDT
Attention Mechanism Earned Dec 11, 2024 EST
Introduction to Image Generation Earned Dec 11, 2024 EST
[DEPRECATED]Introduction to Responsible AI Earned Dec 11, 2024 EST
Introduction to Large Language Models Earned Dec 11, 2024 EST
Introduction to Generative AI Earned Dec 11, 2024 EST
Build a Certification Study Guide: PMLE Earned Dec 9, 2024 EST
Quiz: GDC Air-Gapped Security Operator Fundamentals Earned Dec 9, 2024 EST

Take these next steps to learn more about the Google Security Operations Platform. Build on fundamental knowledge to go deeper on customization and tuning.

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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 will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.

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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Gemini Enterprise Agent Platform.

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

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This quiz tests your GDC Air-Gapped Security Operator Fundamental knowledge.

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