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 Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
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- 5 stars68,90 %
- 4 stars24,01 %
- 3 stars4,45 %
- 2 stars1,48 %
- 1 star1,13 %
Principales reseñas sobre SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
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.
Great Big Picture about ML options on GCP, with good highlighting to main advantages and differences for each option.
Really recommended to get introduce to GCP resources and capabilities.
Excellent course. Gets pretty advanced with developing ML pipelines with Kubernetes Engine, but otherwise very accessible.
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