Informações sobre o curso
4.6
5,328 classificações
977 avaliações

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 11 horas para completar

Sugerido: 1 week of study, 6-10 hours/week...

Inglês

Legendas: Inglês

Habilidades que você terá

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 11 horas para completar

Sugerido: 1 week of study, 6-10 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
14 minutos para concluir

Introduction to the Data and Machine Learning on Google Cloud Platform Specialization

...
4 vídeos (total de (Total 13 mín.) min), 1 leitura
4 videos
Course Overview and Agenda5min
Getting Started with Google Cloud Platform and Qwiklabs2min
Meet Your Instructor3min
1 leituras
Please read me1min
1 hora para concluir

Introduction to Google Cloud Platform and its Big Data Products

In this module you will be introduced to Google Cloud Platform and the data handling aspects of the platform....
5 vídeos (total de (Total 31 mín.) min), 1 teste
5 videos
What is the Google Cloud Platform?14min
GCP Big Data Products9min
Usage Scenarios5min
Module Resources27s
1 exercício prático
Module Review2min
4 horas para concluir

Foundations of GCP Compute and Storage

In this module, we introduce the foundations of the Google Cloud Platform: compute and storage and introduce how they work to provide data ingest, storage, and federated analysis....
9 vídeos (total de (Total 54 mín.) min), 1 leitura, 3 testes
9 videos
CPUs On Demand7min
Lab Overview37s
Lab Review8min
A Global Filesystem14min
Lab Overview1min
Lab Review14min
Module Review3min
Module Resources3min
1 leituras
Module Resources10min
1 exercício prático
Module Review4min
4 horas para concluir

Data Analysis on the Cloud

In this module we introduce the common Big Data use cases that Google will manage for you. These are the things that are widely done in industry today and for which we provide easy migration to the cloud....
10 vídeos (total de (Total 90 mín.) min), 3 testes
10 videos
Stepping Stones to Transformation20min
Your SQL Database in the Cloud5min
Lab Overview24s
Lab Review22min
Managed Hadoop in the Cloud8min
Lab Overview17s
Lab Review27min
Module Review3min
Module Resources1min
1 exercício prático
Module Review4min
5 horas para concluir

Scaling Data Analysis and Machine Learning

This module is about the more transformational technologies in Google Cloud platform that may not have immediate parallels to technologies that attendees are using (“what's next”)....
21 vídeos (total de (Total 82 mín.) min), 1 leitura, 4 testes
21 videos
Fast Random Access11min
Warehouse and Interactively Query Petabytes with Google BigQuery3min
Ingesting data into BigQuery2min
Interactive, Iterative Development with Cloud Datalab1min
Cloud Datalab : Demo3min
Datalab supports BigQuery2min
Lab Overview27s
Lab Review : Setting up Datalab5min
Lab Review : Working in ipython notebook6min
Introduction25s
Machine Learning with TensorFlow8min
Training and creating a Neural Network Model : Part 11min
Training and Creating a Neural Network Model : Part 25min
Lab Overview4min
Pre-built Machine Learning Models4min
Pre-built ML APIs : Examples8min
Lab Review8min
Module Review2min
Scaling Data Analysis : Resources10s
Machine Learning : Resources14s
1 leituras
Scaling Data Analysis : Resources1min
1 exercício prático
Module Review18min
18 minutos para concluir

Data Processing Architectures: Scalable Ingest, Transform and Load

In this module we will introduce you to data processing architectures in Google Cloud Platform: Asynchronous processing with TaskQueues. Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow....
4 vídeos (total de (Total 9 mín.) min), 1 leitura, 1 teste
4 videos
Message-oriented Architectures3min
Serverless Data Pipelines3min
Module Review32s
1 leituras
Module Resources5min
1 exercício prático
Module Review4min
15 minutos para concluir

Summary of GCP, Big Data and ML

...
3 vídeos (total de (Total 5 mín.) min), 1 leitura
3 videos
Next Steps1min
Additional Resources35s
1 leituras
Additional Resources10min
4.6
977 avaliaçõesChevron Right

48%

comecei uma nova carreira após concluir estes cursos

44%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por VSMar 3rd 2019

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

por CRDec 27th 2017

This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.

Sobre Google Cloud

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....

Sobre o Programa de cursos integrados Data Engineering on Google Cloud Platform

>>>Look for details below for COMPLETION CHALLENGE, receive up to $150 in Qwiklabs credits<<< This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. Looking to make a career change? Upon completion of this Specialization, you’ll have the opportunity to share your information directly with Google and Publicis [more partners coming soon] to be considered for open hiring opportunities. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML COMPLETION CHALLENGE For every course you complete before May 5, 2019, we will send you 30 Qwiklabs credits (upto $150 USD value)! >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...
Data Engineering on Google Cloud Platform

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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

    • A common query language such as SQL

    • Extract, transform, load activities

    • Data modeling

    • Machine learning and/or statistics

    • Programming in Python

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

    - Google account (Google is currently blocked in China)

    - Credit card or bank account

    - Terms of service

    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/

  • If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.

  • View this page for more details: https://cloud.google.com/free-trial/docs/

  • Yes, this online course is based on the instructor-led training formerly known as CPB100.

  • 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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