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Alina-Alexandra Sava

Mitglied seit 2022

Gold League

26225 Punkte
Vertex AI Search and Gemini Enterprise UI Configurations Earned Jul 2, 2025 EDT
Data Warehousing for Partners: BigQuery Extended Capabilities Earned Okt 18, 2024 EDT
Data Warehousing for Partners: Streaming Analytics Earned Okt 18, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker Earned Okt 18, 2024 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub Earned Okt 16, 2024 EDT
Data Warehousing for Partners: Process Data with Dataflow Earned Okt 16, 2024 EDT
Data Warehousing for Partners: Cloud Data Fusion Pipelines Earned Okt 15, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc Earned Okt 14, 2024 EDT
Data Warehousing for Partners: Migrate Data to BigQuery Earned Okt 12, 2024 EDT
Data Warehousing for Partners: Optimize in BigQuery Earned Okt 12, 2024 EDT
Data Warehousing for Partners: Design in BigQuery Earned Okt 12, 2024 EDT
Data Warehousing for Partners: Enable Google Cloud Customers Earned Sep 28, 2024 EDT
Prompt-Design mit Vertex AI Earned Sep 9, 2024 EDT
Einführung in die verantwortungsbewusste Anwendung von KI Earned Sep 5, 2024 EDT
Einführung in Large Language Models Earned Sep 5, 2024 EDT
Einführung in generative KI Earned Sep 5, 2024 EDT
Preparing for your Professional Data Engineer Journey Earned Mär 7, 2024 EST
Essential Google Cloud Infrastructure: Core Services Earned Nov 1, 2023 EDT
Essential Google Cloud Infrastructure: Foundation Earned Okt 24, 2023 EDT
Google Cloud-Grundlagen: Kerninfrastruktur Earned Okt 19, 2023 EDT
Preparing for your Professional Cloud Architect Journey Earned Okt 18, 2023 EDT

Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience. In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.

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This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.

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This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.

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This course explores how to implement a streaming analytics solution using Pub/Sub.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Cloud Data Fusion.

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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.

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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.

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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.

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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.

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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.

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Mit dem Skill-Logo Prompt-Design mit Vertex AI weisen Sie Grundkenntnisse in folgenden Bereichen nach: Prompt Engineering, Bildanalyse und multimodale generative Techniken in Vertex AI. Entdecken Sie, wie Sie wirksame Prompts erstellen, auf generativer KI basierende Ausgaben steuern und Gemini-Modelle in Marketing-Szenarien aus der Praxis anwenden.

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In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.

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In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das Entwickeln eigener Anwendungen basierend auf generativer KI ermöglichen.

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In diesem Einführungskurs im Microlearning-Format wird erklärt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkömmlichen Methoden für Machine Learning unterscheidet. Darüber hinaus werden Tools von Google behandelt, mit denen Sie eigene Anwendungen basierend auf generativer KI entwickeln können.

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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.

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In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.

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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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