This certification validates practical skills in artificial intelligence and machine learning, including data preparation, analysis, governance, and communicating reliable insights. It is intended for professionals who build or operate data-driven solutions.
A Machine Learning Engineer wants to implement MLOps. They currently have three environments: dev, stage, and prod. They have many private PyPI packages that th...
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Get Started FreeA Data Scientist is building a propensity model for an e-commerce start-up. The company maintains 7GB of historical data and receives about 5MB of new transacti...
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Get Started FreeA Data Scientist has created a sales forecasting model, named sales-forecasting. The model is deployed to a model serving endpoint with a schema. They need to i...
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Get Started FreeA Data Scientist at a company with rapidly increasing sales has deployed a scikit-learn model in production, which is retrained weekly on a single-node cluster....
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Get Started FreeA Data Scientist is building a machine learning pipeline to classify raw text using a Logistic Regression model in Spark using Spark MLlib's Pipelines. This pip...
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