In today’s competitive business environment, organizations are seeking ways to increase sales, improve employee productivity, reduce costs, streamline business processes, and understand their customers better. Artificial intelligence (AI) software platforms and frameworks offer machine learning and deep learning capabilities, natural language processing, voice/speech recognition, and image/video analysis, enabling AI-enabled solutions development. However, choosing the right framework, algorithm, data, and compute resources for training and deploying models can be time-consuming and expensive. AWS has developed services and tools for DL, enabling data scientists, developers, and business analysts to experiment, develop, test, and deploy a DL model into production quickly and easily. AWS AI services like Amazon SageMaker, Amazon Comprehend, Amazon Textract, and Amazon Translate provide an easy way to add intelligence to business applications. AWS deep learning containers, Docker images, and computational power of NVIDIA GPUs make it easy to scale ML models.