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 Platform 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 AI Platform Notebooks and BigQuery Machine Learning. 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 Platform using QwikLabs.
oferecido por
Google CloudInformações sobre o curso
47,937 visualizações recentes
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 8 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 8 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 GCP
1 hora para concluir
4 vídeos (Total 18 mín.)
4 videos
What is ML?8min
Machine Learning and AI3min
ML options on Google Cloud Platform1min
Game: Reviewing key ML concepts5min
1 exercício prático
Introduction to Analytics and AI30min
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.)
3 videos
ML APIs for Enriching Data4min
Lab Intro: Using the Natural Language API to Classify Unstructured Text47s
1 exercício prático
Prebuilt ML model APIs for Unstructured Data4min
2 horas para concluir
Big Data Analytics with Cloud AI Platform Notebooks
This module covers how to use AI Platform Notebooks
2 horas para concluir
3 vídeos (Total 7 mín.)
3 videos
BigQuery Magic and Ties to Pandas1min
Lab Intro: BigQuery in Jupyter Labs on AI Platform28s
1 exercício prático
Big Data Analytics with Cloud AI Platform Notebooks30min
1 hora para concluir
Productionizing Custom ML Models
This module covers building custom ML models and introduces Kubeflow and AI Hub
1 hora para concluir
6 vídeos (Total 15 mín.)
6 videos
Ways to do custom ML on GCP5min
Kubeflow4min
AI Hub1min
Lab Intro: Running ML Pipelines on Kubeflow23s
Summary23s
1 exercício prático
Productionizing Custom ML Models4min
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.)
6 videos
Classification, Regregression, and Recommender Models5min
Unsupervised ML with Clustering Models2min
Lab Intro: Predict Bike Trip Duration with a Regression Model in BQML19s
Lab Intro: Movie Recommendations in BigQuery ML16s
Summary15s
1 exercício prático
Custom Model building with SQL in BigQuery ML4min
1 hora para concluir
Custom Model Building with Cloud AutoML
This module introduces Cloud AutoML to build powerful models without coding
1 hora para concluir
4 vídeos (Total 26 mín.)
1 exercício prático
Custom Model Building with Cloud AutoML4min
3 minutos para concluir
Summary
This module recaps the topics covered in the course
3 minutos para concluir
1 vídeo (Total 3 mín.)
1 vídeos
Course Summary3min
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.
Perguntas Frequentes – FAQ
Posso assistir uma prévia do curso antes de me inscrever?
O que recebo ao me inscrever?
Quando receberei meu Certificado de Curso?
Por que não posso assistir este curso como ouvinte?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
