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.
Offert par
Google CloudÀ propos de ce cours
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Dates limites flexibles
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 10 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
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.
Compétences que vous acquerrez
- Tensorflow
- Bigquery
- Google Cloud Platform
- Cloud Computing
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 10 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
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.
Programme de cours : ce que vous apprendrez dans ce cours
14 minutes pour terminer
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 minutes pour terminer
1 vidéo (Total 4 min), 1 lecture
2 heures pour terminer
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 heures pour terminer
9 vidéos (Total 29 min), 1 lecture, 2 quiz
2 heures pour terminer
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 heures pour terminer
9 vidéos (Total 22 min), 1 lecture, 2 quiz
2 heures pour terminer
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 heures pour terminer
9 vidéos (Total 38 min), 1 lecture, 2 quiz
1 heure pour terminer
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 heure pour terminer
8 vidéos (Total 24 min), 1 lecture, 1 quiz
2 heures pour terminer
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 heures pour terminer
8 vidéos (Total 26 min), 1 lecture, 2 quiz
4 minutes pour terminer
Course Summary
This section reviews the topics covered in the course, and provides additional resources for further learning.
4 minutes pour terminer
1 vidéo (Total 4 min)
Avis
- 5 stars71,69 %
- 4 stars23,67 %
- 3 stars3,51 %
- 2 stars0,53 %
- 1 star0,58 %
Meilleurs avis pour GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS
par PC23 juin 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.
par AR26 mai 2019
This course gives you a pretty good fundamental idea on what you are diving into. Google cloud platform has bucket of data engineering features. This course sets you on the starting line for them.
par AD23 sept. 2019
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
par RT6 mai 2020
It is a fun journey to explore the Big Data and ML resource in GCP. And even cooler is you don't need work for a big company or own lots of resource to get your hands dirty to support your learning!
Foire Aux Questions
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