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.
결과 63개
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과정 추천 BigQuery for Machine Learning
Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and le…
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과정 추천 Use Machine Learning APIs on Google Cloud
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge i…
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과정 추천 Google Cloud Solutions II: Data and Machine Learning
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architectur…
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실습 추천 Differential Privacy in Machine Learning with TensorFlow Privacy
In this lab, you learn how to use differential privacy in machine learning using TensorFlow Privacy.
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과정 추천 Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participa…
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과정 추천 Using BigQuery Machine Learning for inference
Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.
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과정 추천 Machine Learning Operations (MLOps) for Generative AI
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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과정 추천 Machine Learning Operations (MLOps) with Vertex AI: Manage Features
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice u…
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Learning Path 추천 Machine Learning Engineer Learning Path
머신러닝 엔지니어는 ML 시스템을 설계, 빌드, 프로덕션화, 최적화, 운영 및 유지보수합니다. 이 학습 과정에서는 선별된 주문형 과정, 실습, 기술 배지를 통해 ML 엔지니어 업무에 필수적인 Google Cloud 기술을 사용한 실무 경험을 제공합니다. 과정을 완료한 후에는 Google Cloud 머신러닝 엔지니어 자격증을 확인하고 전문가 여정의 다음 단계를 수행하세요.
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과정 추천 Intro to ML: Language Processing
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine …