Aug. 12, 2023, 11:05 a.m. | Drishti Jain

DEV Community dev.to

Building, training, and deploying machine learning models at scale is now possible for developers and data scientists thanks to Amazon SageMaker, a potent and completely managed service provided by Amazon Web Services (AWS).


SageMaker is an effective and practical framework for developing, training, and deploying Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs) for a variety of generative applications, including producing music, art, and other generative works.


Key Features of AWS SageMaker:



  • Scalability

  • Built-in Algorithms

  • Custom Model Deployment

  • Hyperparameter Optimization …

amazon amazon sagemaker amazon web services autoencoders aws building data data scientists developers framework gans generative generative adversarial networks generativeai machine machine learning machinelearning machine learning models managed managed service networks practical python sagemaker scale scientists service services training variational autoencoders web web services

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote