A incorporação de machine learning em pipelines de dados aumenta a capacidade de extrair insights dessas informações. Neste curso, mostramos as várias formas de incluir essa tecnologia em pipelines de dados do Google Cloud. Para casos de pouca ou nenhuma personalização, vamos falar sobre o AutoML. Para usar recursos de machine learning mais personalizados, vamos apresentar os Notebooks e o machine learning do BigQuery (BigQuery ML). No curso, você também vai aprender sobre a produção de soluções de machine learning usando a Vertex AI.
Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
This course is part of Data Engineer, Big Data and ML on Google Cloud em Português Specialization
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(11 reviews)
Intermediate level
Some related experience required
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Saber a diferença entre ML, IA e aprendizado profundo.
Explicar o uso de APIs de ML em dados não estruturados.
Executar comandos do BigQuery nos Notebooks.
Criar modelos de ML usando a sintaxe do SQL no BigQuery.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in Portuguese (Brazil)
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This course is part of the Data Engineer, Big Data and ML on Google Cloud em Português Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Share it on social media and in your performance review
There are 9 modules in this course
Neste módulo, vamos apresentar o curso e a programação.
What's included
1 video
Neste módulo, falamos sobre as opções de ML no Google Cloud.
What's included
4 videos1 assignment
O foco deste módulo é o uso de APIs de ML pré-criadas em dados não estruturados.
What's included
5 videos1 assignment1 app item
Neste módulo, vamos falar sobre como usar o Notebooks.
What's included
4 videos1 assignment1 app item
Neste módulo, falamos da criação de modelos de ML personalizados e apresentamos a Vertex AI e o TensorFlow Hub.
What's included
6 videos1 assignment1 app item
Este é um módulo sobre o BigQuery ML.
What's included
6 videos1 assignment2 app items
Criar modelos personalizados com o Vertex AI AutoML.
What's included
6 videos1 assignment
Neste módulo, vamos recapitular os temas abordados no curso.
What's included
1 video
Links dos PDFs de todos os módulos
What's included
1 reading
Instructor
Offered by
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Frequently asked questions
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.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
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.
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Financial aid available,