This course is part of the Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Google Cloud Training

Offered By

Data Engineer, Big Data and ML on Google Cloud em Português SpecializationGoogle Cloud

About this Course

Com a incorporação do machine learning aos pipelines de dados, as empresas podem extrair mais insights. Neste curso, mostramos várias maneiras de incluir o machine learning nos pipelines de dados no Google Cloud Platform, dependendo do nível de personalização necessário. Explicamos como usar o AutoML quando você precisar de pouca ou nenhuma personalização. Para recursos de machine learning mais personalizados, mostramos como usar o AI Platform Notebooks e o BigQuery Machine Learning. Também explicamos como produzir soluções de machine learning usando o Kubeflow. Além disso, haverá atividades práticas de criação de modelos de ML no Google Cloud Platform usando o QwikLabs.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Intermediate Level

Approx. 8 hours to complete

Portuguese (Brazilian)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Intermediate Level

Approx. 8 hours to complete

Portuguese (Brazilian)

Instructor

Google Cloud Training

1,923,330 Learners

1,038 Courses

Offered by

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.

Syllabus - What you will learn from this course

Week1

Week 1

1 minute to complete

Introdução

1 minute to complete

1 video (Total 1 min)

Week2

Week 2

18 minutes to complete

Introdução ao Analytics e à IA

18 minutes to complete

4 videos (Total 8 min)

Week3

Week 3

1 hour to complete

APIs de modelos de ML pré-criadas para dados não estruturados

1 hour to complete

5 videos (Total 13 min)

Week4

Week 4

2 hours to complete

Análise de Big Data com notebooks

2 hours to complete

4 videos (Total 7 min)

About the Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Nesta especialização on-line intensiva de cinco semanas, os participantes terão uma introdução prática sobre como projetar e criar sistemas de processamento de dados no Google Cloud Platform. Por meio de uma combinação de apresentações, demonstrações e laboratórios práticos, os participantes aprenderão a projetar sistemas de processamento de dados, criar canais completos e análises de dados e desenvolver soluções de aprendizado de máquina. Neste curso, abordamos dados estruturados, não estruturados e de streaming.

Neste curso, os participantes irão adquirir as seguintes habilidades: • projetar e criar sistemas de processamento de dados no Google Cloud Platform • usar dados não estruturados com as APIs do Spark e de aprendizado de máquina no Cloud Dataproc • processar dados em lote e streaming com a implementação de canais de dados de escalonamento automático no Cloud Dataflow • derivar insights de negócios a partir de conjuntos de dados extremamente grandes usando o Google BigQuery • treinar, avaliar e prever com modelos de aprendizado de máquina usando o TensorFlow e o Cloud ML • ativar insights instantâneos dos dados de streaming Esta aula destina-se a desenvolvedores experientes responsáveis pelo gerenciamento de transformações de Big Data. >>> Ao se inscrever nesta especialização, você concorda com os Termos de Serviço do Qwiklabs conforme estabelecido na seção de perguntas frequentes. Veja os Termos de Serviço aqui: https://qwiklabs.com/terms_of_service <<<

Data Engineer, Big Data and ML on Google Cloud em Português

Frequently Asked Questions

Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

About this Course