If you use your own domain and user profile or created a domain via AWS Console UI, follow the instructions in the next section Download notebooks into your JupyterLab space to clone the content. The ...
Once the best performing model is identified, we will use SageMaker's endpoint deployment service to deploy the model. This endpoint is a callable API to produce a prediction result based on the ...
Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML ...
and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- ...
Companies are standardizing MLOps practices to scale AI adoption ... Technologies like Azure ML, AWS SageMaker, Airflow, Kubernetes, Databricks Delta Lake, NVIDIA Triton, MLFlow, and products like ...