Informações sobre o curso
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100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 14 horas para completar

Sugerido: 2 weeks of study, 6-10 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

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    Processing big data at scale for analytics and machine learning

  • Check

    Fundamentals of building new machine learning models

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    Creating streaming data pipelines and dashboards

Habilidades que você terá

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 14 horas para completar

Sugerido: 2 weeks of study, 6-10 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
3 horas para concluir

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

13 vídeos (Total 78 mín.), 2 leituras, 2 testes
13 videos
Introduction to Google Cloud Platform3min
Compute Power for Analytic and ML Workloads9min
Demo: Creating a VM on Compute Engine13min
Elastic Storage with Google Cloud Storage5min
Build on Google's Global Network3min
Security: On-premise vs Cloud-native2min
Evolution of Google Cloud Big Data Tools5min
Getting Started with Google Cloud Platform and Qwiklabs3min
Choosing the right approach5min
What you can do with Google Cloud Platform3min
Activity: Explore real customer solution architectures7min
Key roles in a data-driven organization6min
2 leituras
Google Cloud Public Datasets program10min
Module Resources10min
1 exercício prático
Module Review5min
2 horas para concluir

Recommending Products using Cloud SQL and Spark

8 vídeos (Total 50 mín.), 1 leitura, 2 testes
8 videos
Introduction to machine learning5min
Challenge: ML for recommending housing rentals8min
Approach: Move from on-premise to Google Cloud Platform9min
Demo: From zero to an Apache Spark job in 10 minutes or less6min
Challenge: Utilizing and tuning on-premise clusters6min
Move storage off-cluster with Google Cloud Storage4min
Lab Intro2min
1 leituras
Module Resources5min
1 exercício prático
Module Review15min
3 horas para concluir

Predict Visitor Purchases with BigQuery ML

13 vídeos (Total 74 mín.), 2 leituras, 2 testes
13 videos
Demo: Query 2 billion lines of Github code in less than 30 seconds11min
BigQuery: Fast SQL Engine4min
Demo: Exploring bike share data with SQL11min
Data quality4min
BigQuery managed storage5min
Insights from geographic data2min
Demo: Analyzing lightning strikes with BigQuery GIS7min
Choosing a ML model type for structured data4min
Predicting customer lifetime value5min
BigQueryML: Create models with SQL3min
Phases in ML model lifecycle2min
BigQuery ML: key features walkthrough5min
2 leituras
Lab Intro10min
Module Resources10min
1 exercício prático
Module Review4min
Semana
2
2 horas para concluir

Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow

8 vídeos (Total 31 mín.), 1 leitura, 2 testes
8 videos
Message-oriented architectures with Cloud Pub/Sub6min
Designing streaming pipelines with Apache Beam3min
Implementing streaming pipelines on Cloud Dataflow3min
Visualizing insights with Data Studio3min
Creating charts with Data Studio2min
Demo: Data Studio walkthrough7min
Lab Intro1min
1 leituras
Module Resources10min
1 exercício prático
Module Review4min
2 horas para concluir

Classify Images with Pre-Built Models using Vision API and Cloud AutoML

10 vídeos (Total 55 mín.), 2 leituras, 2 testes
10 videos
How does ML on unstructured data work?3min
Demo: ML built into Google Photos1min
Comparing approaches to ML2min
Demo: Using ML building blocks7min
Using pre-built AI to create a chatbot4min
Customizing Pre-built models with AutoML7min
Lab Intro22s
Building a Custom Model1min
Demo: Text classification done three ways21min
2 leituras
Additional resources to build custom models10min
Module Resources10min
1 exercício prático
Module Review
5 minutos para concluir

Summary

1 vídeo (Total 5 mín.)
1 vídeos
4.6
1409 avaliaçõesChevron Right

45%

comecei uma nova carreira após concluir estes cursos

43%

consegui um benefício significativo de carreira com este curso

Principais avaliações do Google Cloud Platform Big Data and Machine Learning Fundamentals

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 ADSep 24th 2019

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

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....

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 em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar 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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