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Wykorzystuj swoje umiejętności w konsoli Google Cloud

Abdul Mansoor

Jest członkiem od 2023

Liga srebrna

8825 pkt.
Machine Learning Operations (MLOps) for Generative AI Earned gru 12, 2024 EST
Introduction to Image Generation Earned gru 12, 2024 EST
Mitigating Security Vulnerabilities on Google Cloud Earned paź 19, 2024 EDT
Build a Certification Study Guide: PMLE Earned paź 19, 2024 EDT
Transformer Models and BERT Model Earned gru 20, 2023 EST
Introduction to Vertex AI Studio Earned gru 20, 2023 EST
[DEPRECATED] SOAR Fundamentals Earned lis 21, 2023 EST
Google Security Operations - SOAR Analyst Earned lis 15, 2023 EST
Google Security Operations - SOAR Developer Earned lis 8, 2023 EST
Security Practices with Google Security Operations - SIEM Earned lis 6, 2023 EST

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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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 Vertex AI.

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In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.

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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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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.

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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.

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

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

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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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