Neste curso, apresentamos os produtos e serviços de Big Data e machine learning do Google Cloud que dão suporte ao ciclo de vida de dados para IA. Nele, você verá os processos, desafios e benefícios de criar um pipeline de Big Data e modelos de machine learning com a Vertex AI no Google Cloud.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro
This course is part of Data Engineer, Big Data and ML on Google Cloud em Português Specialization
Instructor: Google Cloud Training
2,823 already enrolled
Included with
(99 reviews)
What you'll learn
Reconhecer o ciclo de vida de dados para IA no Google Cloud e os principais produtos de Big Data e machine learning.
Analisar Big Data em escala com o BigQuery.
Identificar formas de criar soluções de machine learning no Google Cloud.
Descrever um fluxo de trabalho de machine learning e as etapas principais com a Vertex AI
Details to know
Add to your LinkedIn profile
5 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 7 modules in this course
Nesta seção, apresentamos o curso "Big Data and Machine Learning Fundamentals" aos participantes e apresentamos uma visão geral da estrutura e dos objetivos dele.
What's included
2 videos1 reading
Nesta seção, você encontra os principais componentes da infraestrutura do Google Cloud. Nela, apresentamos muitos dos produtos e serviços de Big Data e machine learning que suportam o ciclo de vida de dados para IA no Google Cloud.
What's included
10 videos1 reading1 assignment1 app item
Nesta seção, você conhecerá a solução do Google Cloud para gerenciar dados de streaming. Nela, analisamos um pipeline completo, incluindo a ingestão de dados com o Pub/Sub, o processamento de dados com o Dataflow e a visualização de dados com o Looker e o Looker Studio.
What's included
9 videos1 reading1 assignment1 app item
Nesta seção, apresentamos aos participantes o BigQuery, o data warehouse sem servidor e totalmente gerenciado do Google. O módulo também mostra o BigQuery ML, os processos e os principais comandos usados para criar modelos personalizados de machine learning.
What's included
9 videos1 reading1 assignment1 app item
Nesta seção, você verá quatro opções diferentes para criar modelos de machine learning no Google Cloud. Nela, também apresentaremos a Vertex AI, a plataforma unificada do Google para criação e gerenciamento do ciclo de vida de projetos de ML.
What's included
8 videos1 reading1 assignment
Neste módulo, focaremos nas três etapas principais do fluxo de trabalho de machine learning na Vertex AI: preparação de dados, treinamento de modelos e avaliação de modelos. Os participantes poderão praticar a criação de um modelo de machine learning com o AutoML.
What's included
8 videos1 reading1 assignment1 app item
Revisar o conteúdo do curso e apresentar outros recursos para complementar o aprendizado.
What's included
1 video
Instructor
Offered by
Recommended if you're interested in Machine Learning
Why people choose Coursera for their career
Learner reviews
Showing 3 of 99
99 reviews
- 5 stars
79.79%
- 4 stars
14.14%
- 3 stars
5.05%
- 2 stars
1.01%
- 1 star
0%
New to Machine Learning? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.