课程
Google Cloud Fundamentals: Core Infrastructure
- 基础技能水平
- 4.8+
- 28 条评价
Learn Google Cloud essentials including computing, storage, networking, and resource management through videos and hands-on labs in this foundational course.
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观看专家讲师的短视频,然后在浏览器中通过互动练习实践所学内容。
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Learn Google Cloud essentials including computing, storage, networking, and resource management through videos and hands-on labs in this foundational course.
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Uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and explore how Vertex AI empowers AI teams.
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In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks.
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Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.
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This course equips security and data protection leaders with strategies to securely manage AI within their organizations.
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Youll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right one for your needs.
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Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.
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This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.
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Learn MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.
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Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.
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Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.
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Gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks.
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Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.
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Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.
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The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud.
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Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.
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Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.
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This course introduces solution elements, including networks, load balancing, autoscaling, infrastructure automation and managed services.
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Well explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them.
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This course covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices.
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Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.
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This course explores identity management and access control within a cloud environment, covering authentication, authorization, auditing, and more.
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Explore advanced Google Sheets features including conditional formatting, complex formulas, data validation, and referencing.
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Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.
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Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.
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You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.
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This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.
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A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.
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