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Sagar Kumar Yadav

Jest członkiem od 2025

Liga diamentowa

13130 pkt.
SecOps on GDC for Tier 1 and Tier 2 Analysts Earned lip 8, 2025 EDT
Introduction to SecOps on GDC Earned lip 5, 2025 EDT
[Deprecated]Google Security Operations - Fundamentals Earned cze 28, 2025 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned cze 28, 2025 EDT
DEPRECATED Google Threat Intelligence Earned cze 28, 2025 EDT
Security Command Center Fundamentals Earned cze 28, 2025 EDT
Getting Started with Security Command Center Enterprise Earned cze 28, 2025 EDT
Google Security Operations - Deep Dive Earned cze 28, 2025 EDT
Introduction to Security in the World of AI Earned cze 28, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit Earned cze 26, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Earned cze 21, 2025 EDT
Explore Generative AI in Agent Platform Earned cze 21, 2025 EDT
Build Real World AI Applications with Gemini and Imagen Earned cze 18, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI Earned cze 18, 2025 EDT
Prompt Design in Agent Platform Earned cze 18, 2025 EDT

This course gives you a deep dive into the workflows of Tier 1 and Tier 2 security analysts.

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The first course provides a high-level overview of security fundamentals on the GDC platform.

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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 equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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Google Threat Intelligence provides unmatched visibility into threats by delivering detailed and timely threat intelligence to security teams around the world. This course covers the various capabilities of Google Threat Intelligence and common ways that organizations use this product to proactively mitigate threats.

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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.

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This course provides a comprehensive overview of Google Cloud Security Command Center (SCC) Enterprise, a Cloud-Native Application Protection Platform (CNAPP) solution that helps organizations prevent, detect, and respond to threats across Google Cloud services. You will learn about core SCC Enterprise features, including enhanced threat detection, in-depth vulnerability management, and integrated case management. Fundamental concepts in threat management and vulnerability assessment will also be covered, along with practical demonstrations of how to use SCC Enterprise to identify, investigate, and remediate security risks within your multi-cloud environment.

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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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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Complete the intermediate Explore Generative AI in Agent Platform skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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