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.
About this Course
- 5 stars68.94%
- 4 stars23.96%
- 3 stars4.49%
- 2 stars1.47%
- 1 star1.12%
TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
In general - very hot industry knowledge, however it feels that this content needs some time to get flawless and robust as the other ones from this specialization.
Great insight about using machine learning on Google cloud platform. I am impressed
Very good course to experience all the diverse offerings for ML on GCP.
Really recommended to get introduce to GCP resources and capabilities.
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