원하는 방식의 Google Cloud 교육을 살펴보세요.
Google Cloud에서 개발자를 대상으로 한 980개 이상의 학습 활동을 선택할 수 있는 포괄적인 카탈로그를 설계했습니다. 이 카탈로그는 개발자가 선택할 수 있는 다양한 활동 형식으로 구성되어 있습니다. 짧은 분량의 개별 실습 또는 동영상, 문서, 실습, 퀴즈로 구성된 멀티 모듈 과정 중에서 선택하세요. 실습에서는 실제 클라우드 리소스에 대한 임시 사용자 인증 정보를 제공하므로 실제 리소스를 사용하여 Google Cloud를 알아볼 수 있습니다. 이수한 과정의 배지를 획득하고 Google Cloud 성과를 정의, 추적, 측정하세요.
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실습 추천 Detect and Investigate Threats with Security Command Center
In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…
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과정 추천 Attention Mechanism
This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, t…
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실습 추천 Speech-to-Text API: Qwik Start
이제 Speech-to-Text API로 음성 인식을 개발자의 앱에 통합하여 오디오 파일을 전송하고 텍스트로 된 스크립트를 받을 수 있습니다. 짧은 동영상 Google 머신러닝을 사용하는 강력한 음성 인식과 Google Cloud Speech: Qwik Start - Qwiklabs 미리보기를 시청하세요.
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과정 추천 Encoder-Decoder Architecture
This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and h…
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과정 추천 ML Pipelines on Google Cloud
In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of…
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실습 추천 Distributed Image Processing in Cloud Dataproc
In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.
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실습 추천 가상 머신 만들기
이번 실습에서는 Google Compute Engine 가상 머신을 만드는 방법을 배우고 영역, 리전 및 머신 유형에 관해 알아봅니다. 내용을 미리 살펴보려면 짧은 동영상인 가상 머신 만들기, GCP Essentials를 확인하세요.
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과정 추천 Introduction to Reliable Deep Learning
This course introduces you to the world of reliable deep learning, a critical discipline focused on developing machine learning models that not only make accurate predictions but also understand and communicate their own uncertainty. You'll learn how to create AI systems that are trustworthy, robust, and adaptable…
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과정 추천 Gemini for Data Scientists and Analysts
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data an…
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과정 추천 Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.