This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
oferecido por
Google CloudInformações sobre o curso
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Prazos flexÃveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
NÃvel iniciante
Aprox. 10 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.
Analyze big data at scale with BigQuery.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI.
Habilidades que você terá
- Tensorflow
- Bigquery
- Google Cloud Platform
- Cloud Computing
Prazos flexÃveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
NÃvel iniciante
Aprox. 10 horas para completar
Inglês
Legendas: Inglês
oferecido por
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.
Programa - O que você aprenderá com este curso
14 minutos para concluir
Course Introduction
This section welcomes learners to the Big Data and Machine Learning Fundamentals course, and provides an overview of the course structure and goals.
14 minutos para concluir
1 vÃdeo (Total 4 mÃn.), 1 leitura
2 horas para concluir
Big Data and Machine Learning on Google Cloud
This section explores the key components of Google Cloud's infrastructure. It's here that we introduce many of the big data and machine learning products and services that support the data-to AI lifecycle on Google Cloud.
2 horas para concluir
9 vÃdeos (Total 29 mÃn.), 1 leitura, 2 testes
2 horas para concluir
Data Engineering for Streaming Data
This section introduces Google Cloud's solution to managing streaming data. It examines an end-to-end pipeline, including data ingestion with Pub/Sub, data processing with Dataflow, and data visualization with Looker and Data Studio.
2 horas para concluir
9 vÃdeos (Total 22 mÃn.), 1 leitura, 2 testes
2 horas para concluir
Big Data with BigQuery
This section introduces learners to BigQuery, Google's fully-managed, serverless data warehouse. It also explores BigQuery ML, and the processes and key commands that are used to build custom machine learning models.
2 horas para concluir
9 vÃdeos (Total 38 mÃn.), 1 leitura, 2 testes
1 hora para concluir
Machine Learning Options on Google Cloud
This section explores four different options to build machine learning models on Google Cloud. It also introduces Vertex AI, Google's unified platform for building and managing the lifecycle of ML projects.
1 hora para concluir
8 vÃdeos (Total 24 mÃn.), 1 leitura, 1 teste
2 horas para concluir
The Machine Learning Workflow with Vertex AI
This section focuses on the three key phases--data preparation, model training, and model preparation--of the machine learning workflow in Vertex AI. Learners get the opportunity to practice building a machine learning model with AutoML.
2 horas para concluir
8 vÃdeos (Total 26 mÃn.), 1 leitura, 2 testes
4 minutos para concluir
Course Summary
This section reviews the topics covered in the course, and provides additional resources for further learning.
4 minutos para concluir
1 vÃdeo (Total 4 mÃn.)
Avaliações
- 5 stars71,73%
- 4 stars23,59%
- 3 stars3,55%
- 2 stars0,53%
- 1 star0,57%
Principais avaliações do GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS
por RH26 de abr de 2020
We have learn't quite a lot of things which is necessary to be a data engineer and how to use GCP as your primary platform to over come the key challenges faced during data engineering life cycle
por UK10 de fev de 2021
This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.
por PC23 de jun de 2017
Course is very engaging and attentive. As we have hands-on lab, we get some practical experience with guidance. I have learnt a lot from this course. Cant wait to attend Data Engineering Course.
por MM13 de nov de 2019
In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever para este certificado?
Are there prerequisites for this course?
Am I eligible for the Google Cloud Platform free trial?
What if I have already used up my Google Cloud Platform free trial?
How does the free trial work?
Is this course similar to CPB100?
Does this course relate to the Google Certified Professional Data Engineer certification?
What is a Google certification?
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