Monitor and Log with Google Cloud Observability
Earned черв. 19, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned черв. 19, 2026 EDT
Налаштування середовища для розробки додатка в Google Cloud
Earned черв. 19, 2026 EDT
Get Started with Sensitive Data Protection
Earned черв. 19, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned черв. 19, 2026 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned черв. 18, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned трав. 28, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned груд. 30, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned груд. 30, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned груд. 30, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned груд. 30, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned груд. 30, 2025 EST
AI Boost Bites: Customer insights with NotebookLM
Earned груд. 30, 2025 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned груд. 29, 2025 EST
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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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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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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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.
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Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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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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Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Managed Service for Apache Spark, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і 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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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 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.
Налаштування Cloud Load Balancing для Compute Engine
Earned черв. 23, 2026 EDT
Monitor and Log with Google Cloud Observability
Earned черв. 19, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned черв. 19, 2026 EDT
Налаштування середовища для розробки додатка в Google Cloud
Earned черв. 19, 2026 EDT
Get Started with Sensitive Data Protection
Earned черв. 19, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned черв. 19, 2026 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned черв. 18, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned трав. 28, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned груд. 30, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned груд. 30, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned груд. 30, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned груд. 30, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned груд. 30, 2025 EST
AI Boost Bites: Customer insights with NotebookLM
Earned груд. 30, 2025 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned груд. 29, 2025 EST