AWS Certified AI Practitioner
Model Sources and Deployment Options
Where the model in your application comes from (pre-trained open source, a managed model, or one you train yourself) and how you serve it in production: managed API versus self-hosted, and real-time, serverless, asynchronous, or batch inference.
Intermediate 20 minutes 4 Learning Objectives
- Compare the three sources of a model: use a pre-trained model, customize one, or train your own
- Distinguish a managed API service from a self-hosted API for serving a model
- Choose among real-time, serverless, asynchronous, and batch inference by traffic and payload
- Match a production scenario to the deployment option its constraints demand