Machine Learning in the Enterprise

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Last updated on February 11, 2026 6:22 am

Learn how to approach the ML Workflow effectively with this real-world case study. Understand data management, preprocessing, and choose the right ML tools for your objectives – AutoML, BigQuery ML, or custom training.

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This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.

The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

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    Machine Learning in the Enterprise
    Machine Learning in the Enterprise
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