Hands-on training to build machine learning (ML) skills can be challenging and expensive. Machine Learning Education solutions on AWS offer an experimental “playground” or expanded sandbox environment to help artificial intelligence (AI) and ML builders expand their skills in a low-risk setting. These solutions help builders augment simulation environments, manipulate inputs to neural networks, modify neural network architecture, run distributed rollouts, and debug their models.


Prescriptive architectural diagrams, sample code, and technical content

  • Publish Date
Back to top