このコースについて
411 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約5時間で修了

推奨:1 semana de estudo, de 8 a 12 horas por semana...

ポルトガル語(ブラジル)

字幕:フランス語, ポルトガル語(ブラジル), ドイツ語, 英語, スペイン語, 日本語...

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約5時間で修了

推奨:1 semana de estudo, de 8 a 12 horas por semana...

ポルトガル語(ブラジル)

字幕:フランス語, ポルトガル語(ブラジル), ドイツ語, 英語, スペイン語, 日本語...

シラバス - 本コースの学習内容

1
11分で修了

Este é o "Serverless Machine Learning on Google Cloud Platform"

...
2件のビデオ (合計5分), 1 quiz
2件のビデオ
Considerações sobre machine learning2 分
1の練習問題
Pré-teste do curso de machine learning6 分
3時間で修了

Módulo 1: Primeiros passos com machine learning

...
21件のビデオ (合計109分), 2 quizzes
21件のビデオ
Tipos de ML3 分
O canal de ML2 分
Variantes do modelo de ML7 分
Como classificar um problema de ML2 分
Como usar machine learning (ML)8 分
Otimização9 分
Um playground de rede neural18 分
Como combinar atributos3 分
Engenharia de atributos3 分
Modelos de imagem5 分
ML eficaz2 分
Quais são os elementos de um bom conjunto de dados?5 分
Métricas de erro3 分
Precisão2 分
Precisão e recall5 分
Como criar conjuntos de dados de machine learning3 分
Como dividir conjuntos de dados6 分
Python Notebooks1 分
Visão geral do laboratório Como criar conjuntos de dados de ML3 分
Revisão do laboratório Como criar conjuntos de dados de ML2 分
1の練習問題
Teste do módulo 18 分
5時間で修了

Módulo 2: Criação de modelos de ML com o TensorFlow

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15件のビデオ (合計65分), 5 quizzes
15件のビデオ
O que é o TensorFlow?5 分
Principais características do TensorFlow5 分
Visão geral do laboratório Primeiros passos com o TensorFlow7
Revisão do laboratório TensorFlow10 分
API Estimator8 分
Machine learning com o tf.estimator15
Revisão do laboratório Estimator7 分
Como criar ML eficaz6 分
Introdução ao laboratório Refatoração para adicionar a criação de lotes e recursos38
Revisão do laboratório Refatoração4 分
Treine e avalie4 分
Monitoramento1 分
Introdução ao laboratório: Treinamento e monitoramento distribuídos2 分
Revisão do laboratório: Treinamento e monitoramento distribuídos7 分
1の練習問題
Teste do módulo 28 分
2時間で修了

Módulo 3: Escalonamento de modelos de ML com o Cloud ML Engine

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7件のビデオ (合計28分), 2 quizzes
7件のビデオ
Por que usar o Cloud ML Engine?6 分
Fluxo de trabalho de desenvolvimento1 分
Como empacotar o treinador3 分
TensorFlow Serving3 分
Laboratório: Como escalonar ML39
Revisão do laboratório: Como escalonar ML10 分
1の練習問題
Teste do módulo 34 分
3時間で修了

Módulo 4: Engenharia de atributos

...
16件のビデオ (合計92分), 2 quizzes
16件のビデオ
Atributos bons7 分
Causalidade8 分
Numérico5 分
Exemplos suficientes7 分
Dados brutos para os atributos1 分
Atributos categóricos8 分
Cruzamento de atributos3 分
Como criar intervalos3 分
Amplitude e profundidade5 分
Onde aplicar a engenharia de atributos3 分
Visão geral do laboratório Engenharia de atributos3 分
Revisão do laboratório Engenharia de atributos10 分
Ajuste de hiperparâmetro e demonstração15 分
Níveis de abstração de ML4 分
Resumo1 分
1の練習問題
Teste do módulo 46 分

Google Cloudについて

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

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  • Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:

    • Knowledge of Google Cloud Platform

    • Big Data & Machine Learning Fundamentals to the level of "Google Cloud Platform Big Data and Machine Learning Fundamentals" on Coursera

    • Knowledge of BigQuery and Dataflow to the level of "Serverless Data Analysis with Google BigQuery and Cloud Dataflow" on Coursera

    • Knowledge of Python and familiarity with the numpy package

    • Knowledge of undergraduate-level statistics to the level of a Basic Statistics course on Coursera

  • To be eligible for the free trial, you will need:

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    Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602

    More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

    For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/

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  • Yes, this online course is based on the instructor-led training formerly known as CPB102.

  • The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

  • Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

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