Amazon Bedrock tutorial for agentic AI in AWS
Looking to build an Agentic AI solution in the cloud but don't want to create your own AI model from scratch? Amazon Bedrock is the cloud computing service you're looking for.
In this quick Amazon Bedrock tutorial for beginners, we look at the many capabilities of AWS's flagship service for AI and ML, including the following:
- Access to foundation models from multiple providers without the need to manage infrastructure.
- The ability to build and scale generative AI applications securely in the cloud.
- Simple APIs for SMS texts, chat, images and embedding generation.
- Integration with other AWS services including S3, Lambda and SageMaker.
- Customization of foundation models with your own data without retraining from scratch.
- Built-in enterprise-grade security, compliance and monitoring.
- A pay-as-you-go pricing model with no upfront costs.
If you want to create AI-enabled applications quickly and efficiently, Amazon Bedrock is one of the best places to start.
Cameron McKenzie has been a Java EE software engineer for 20 years. His current specialties include Agile development; DevOps; Spring; and container-based technologies such as Docker, Swarm and Kubernetes.