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Harshit Garg

Учасник із 2026

Срібна ліга

Кількість балів: 1181
Налаштування Cloud Load Balancing для Compute Engine Earned жовт. 31, 2026 EDT
Analyze Images with the Cloud Vision API Earned жовт. 27, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned жовт. 26, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud Earned жовт. 24, 2026 EDT
Create Your First Gemini Enterprise Application Earned жовт. 22, 2026 EDT
The Basics of Google Cloud Compute Earned жовт. 21, 2026 EDT

Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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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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Earn the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .

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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.

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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.

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