AWS SageMaker: Machine learning made easy

AWS is the one of the most widely used cloud computing platforms in the world.

AWS SageMaker is a fully managed service offered by AWS that allows data scientist and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently, and it's a technology that's not only hot in the market right now, but one that should be in your toolbelt as well!

See eye to eye with the top SageMaker specialists by creating production-level AI/ML models, as well as having in-depth knowledge on linear learner, XGBoost, deepAR, image classification, and PCA.

If that's not enough to convince you, you'll also learn how to spin hyperparameters optimization job, create and invoke endpoints, and improve model performance.

One of the unique features covered in the course is the use of the brand new sagemaker studio.

SageMaker Studio offers a web-based interface where all machine learning development stages such as model building, training, and deployment could be perfumed in one place resulting in an enhanced productivity.

SageMaker studio allows developers to manage "experiments" by automatically keeping track of model parameters, inputs and model artifacts in one place.