Microsoft Azure Fundamentals—Is It Worth It?
July 26, 2024
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This course is part of Data Engineer, Big Data and ML on Google Cloud em Português Specialization
Instructor: Google Cloud Training
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(99 reviews)
(99 reviews)
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
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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.
Nesta seção, apresentamos o curso "Big Data and Machine Learning Fundamentals" aos participantes e apresentamos uma visão geral da estrutura e dos objetivos dele.
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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.
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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.
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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.
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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.
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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.
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Revisar o conteúdo do curso e apresentar outros recursos para complementar o aprendizado.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
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Reviewed on May 28, 2020
Ótimo cursos bem dinâmico, passo a passo bem elaborado.
Reviewed on Nov 3, 2021
Bom curso, demonstra como utilizar as ferramentas, com bons exemplos
Reviewed on Oct 10, 2019
Curso muito para nortear sobre os produtos do Google Cloud Platform, vale muito a pena para quem é novato.
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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/
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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.