AWS offers a range of services specifically designed for AI and machine learning, including Amazon SageMaker, AWS Lambda, and Amazon EC2. Each of these services provides unique benefits, allowing you to choose the best fit for your AI model requirements.
To run AI models on AWS, the first step is to set up your AWS environment. This includes creating an AWS account and configuring Identity and Access Management (IAM) roles to control permissions effectively.
Once your environment is ready, you can begin training your AI model using Amazon SageMaker. SageMaker simplifies the process of building, training, and deploying machine learning models, making it a go-to choice for many developers.
After training, the next step is deploying your AI model so that it can be accessed for predictions. AWS services like Amazon Elastic Kubernetes Service (EKS) and AWS Lambda provide robust options for deploying AI models at scale.
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