Google Cloud Big Data and Machine Learning Fundamentals
מספר הקורס 4332
Recognize the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
Design streaming pipelines with Dataflow and Pub/Sub.
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.
Build a machine learning pipeline using AutoML.
Data analysts, data scientists, and business analysts who are getting started with Google Cloud
Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models querying datasets, visualizing query results, and creating reports
Executives and IT decision makers evaluating Google Cloud for use by data Scientists
- Database query language such as SQL
- Data engineering workflow from extract, transform, load, to analysis, modeling, and deployment
- Machine learning models such as supervised versus unsupervised models
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