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.
About this Course
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.
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- 3 stars4.50%
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- 1 star1.08%
TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
Very good course to experience all the diverse offerings for ML on GCP.
Smart Analytics, Machine Learning, and AI on GCP is not easy to create data with kubernetes in Biq Query.
Really recommended to get introduce to GCP resources and capabilities.
Great insight about using machine learning on Google cloud platform. I am impressed
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