Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
oferecido por
Google CloudInformações sobre o curso
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Prazos flexíveis
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.
Nível intermediário
Aprox. 9 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
O que você vai aprender
Understand use-cases for real-time streaming analytics.
Use Pub/Sub asynchronous messaging service to manage data events. Write streaming pipelines and run transformations where necessary.
Understand both sides of a streaming pipeline: production and consumption.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis.
Prazos flexíveis
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.
Nível intermediário
Aprox. 9 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
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
6 minutos para concluir
Introduction
This module introduces the course and agenda
6 minutos para concluir
2 vídeos (Total 6 mín.)
1 hora para concluir
Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
1 hora para concluir
4 vídeos (Total 18 mín.)
1 hora para concluir
Prebuilt ML model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
1 hora para concluir
3 vídeos (Total 9 mín.)
2 horas para concluir
Big Data Analytics with AI Platform Notebooks
This module covers how to use AI Platform Notebooks
2 horas para concluir
3 vídeos (Total 6 mín.)
2 horas para concluir
Productionizing Custom ML Models
This module covers building custom ML models and introduces Kubeflow and AI Hub
2 horas para concluir
6 vídeos (Total 11 mín.)
2 horas para concluir
Custom Model building with SQL in BigQuery ML
This module covers BigQuery ML
2 horas para concluir
6 vídeos (Total 15 mín.)
1 hora para concluir
Custom Model Building with AutoML
This module introduces AutoML to build powerful models without coding
1 hora para concluir
4 vídeos (Total 26 mín.)
3 minutos para concluir
Summary
This module recaps the topics covered in the course
3 minutos para concluir
1 vídeo (Total 3 mín.)
Avaliações
Principais avaliações do SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
por PR23 de Jan de 2020
I couldn't complete the Kubeflow lab due to issues that I encountered setting it up. Overall, the course has given me a good understanding of Machine Learning model creation options available on GCP
por HM11 de Mai de 2020
It was a good decision to do this course as i learn and practiced lot in GCP. Thank you the team for amazing support guidance and instructions. Course content and material was appreciated. Thanks.
por MB15 de Mai de 2020
Very good ML course to introduce students with Google Cloud machine learning capabilities. Maybe there should be a lab for AutoML (after video lessons), as it exists on Qwiklab platform.
por MA23 de Out de 2020
This course helped me to do smart analytics, and in my current job I was able to apply Machine Learning easily on GCP, and I helped my team to the AI platform like experts.
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