Cloud Load Balancing in der Compute Engine implementieren
Earned Jun 23, 2026 EDT
Monitoring und Logging mit Google Cloud Observability
Earned Jun 19, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned Jun 19, 2026 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Jun 19, 2026 EDT
Erste Schritte mit Sensitive Data Protection
Earned Jun 19, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned Jun 19, 2026 EDT
Daten für ML-APIs in Google Cloud vorbereiten
Earned Jun 18, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned Mai 28, 2026 EDT
Machine Learning Operations (MLOps) für generative KI
Earned Dez 30, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned Dez 30, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Dez 30, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Dez 30, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Dez 30, 2025 EST
AI Boost Bites: Customer insights with NotebookLM
Earned Dez 30, 2025 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Dez 29, 2025 EST
Mit dem Skill-Logo zum Kurs Cloud Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: virtuelle Maschinen in der Compute Engine erstellen und bereitstellen und Netzwerk- und Application Load Balancer konfigurieren.
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Mit dem Skill-Logo Monitoring und Logging mit Google Cloud Observability weisen Sie Grundkenntnisse in folgenden Bereichen nach: Überwachen virtueller Maschinen in der Compute Engine, Einsetzen von Cloud Monitoring für Verwaltung mehrerer Projekte, Erweitern von Monitoring- und Logging-Funktionen zur Nutzung in Cloud Functions, Erstellen und Senden von benutzerdefinierten Anwendungsmesswerten und Konfigurieren von Cloud Monitoring-Benachrichtigungen auf der Grundlage benutzerdefinierter Messwerte.
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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs „Umgebung für die Anwendungsentwicklung in Google Cloud einrichten“ abschließen. Dabei lernen Sie, wie Sie eine speicherorientierte Cloud-Infrastruktur mithilfe der grundlegenden Funktionen der folgenden Technologien erstellen und verbinden: Cloud Storage, Identity and Access Management, Cloud Functions und Pub/Sub.
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Schließen Sie den Skill-Logo Erste Schritte mit Sensitive Data Protection ab, um Ihre Kenntnisse in den folgenden Bereichen nachzuweisen: Sensitive Data Protection-Dienste verwenden (einschließlich der Cloud Data Loss Prevention API), um sensible Informationen in Google Cloud zu prüfen, zu entfernen und zu de-identifizieren.
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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.
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Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Managed Service for Apache Spark sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.
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Dieser Kurs vermittelt Ihnen das Wissen und die nötigen Tools, um die speziellen Herausforderungen zu erkennen, mit denen MLOps-Teams bei der Bereitstellung und Verwaltung von Modellen basierend auf generativer KI konfrontiert sind. Sie erfahren, wie KI-Teams durch Vertex AI dabei unterstützt werden, MLOps-Prozesse zu optimieren und mit Projekten erfolgreich zu sein, in denen generative KI zum Einsatz kommt.
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This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
Cloud Load Balancing in der Compute Engine implementieren
Earned Jun 23, 2026 EDT
Monitoring und Logging mit Google Cloud Observability
Earned Jun 19, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned Jun 19, 2026 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Jun 19, 2026 EDT
Erste Schritte mit Sensitive Data Protection
Earned Jun 19, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned Jun 19, 2026 EDT
Daten für ML-APIs in Google Cloud vorbereiten
Earned Jun 18, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned Mai 28, 2026 EDT
Machine Learning Operations (MLOps) für generative KI
Earned Dez 30, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned Dez 30, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Dez 30, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Dez 30, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Dez 30, 2025 EST
AI Boost Bites: Customer insights with NotebookLM
Earned Dez 30, 2025 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Dez 29, 2025 EST