# Resources for generative AI development on AWS
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## Agentic AI
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+ [Operationalizing agentic AI on AWS](https://docs.aws.amazon.com/en_us/prescriptive-guidance/latest/strategy-operationalizing-agentic-ai/introduction.html) (AWS Prescriptive Guidance)
+ [Foundations of agentic AI on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-foundations/) (AWS Prescriptive Guidance)
+ [Agentic AI patterns and workflows on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-patterns/) (AWS Prescriptive Guidance)
+ [Agentic AI frameworks, protocols, and tools on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-frameworks/) (AWS Prescriptive Guidance)
+ [Building serverless architectures for agentic AI on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-serverless/) (AWS Prescriptive Guidance)
+ [Building multi-tenant architectures for agentic AI on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-multitenant/) (AWS Prescriptive Guidance)

## AWS AI services
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+ [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html)
+ [Amazon Comprehend documentation](https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html)
+ [Amazon Q Business documentation](https://docs.aws.amazon.com/amazonq/latest/qbusiness-ug/what-is.html)
+ [Amazon Q Developer documentation](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/what-is.html)
+ [Amazon SageMaker AI documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html)

## ML operations (MLOps)
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+ [Evaluating your ML project with the MLOps checklist](https://docs.aws.amazon.com/prescriptive-guidance/latest/mlops-checklist/introduction.html) (AWS Prescriptive Guidance)
+ [Planning for successful MLOps](https://docs.aws.amazon.com/prescriptive-guidance/latest/ml-operations-planning/welcome.html) (AWS Prescriptive Guidance)

## Operational excellence and readiness for generative AI
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+ [Building an enterprise-ready generative AI platform on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/strategy-enterprise-ready-gen-ai-platform/introduction.html) (AWS Prescriptive Guidance)
+ [Generative AI workload assessment](https://docs.aws.amazon.com/prescriptive-guidance/latest/gen-ai-workload-assessment/introduction.html) (AWS Prescriptive Guidance)
+ [Data security, lifecycle, and strategy for generative AI applications](https://docs.aws.amazon.com/prescriptive-guidance/latest/strategy-data-considerations-gen-ai/introduction.html) (AWS Prescriptive Guidance)
+ [Maturity model for adopting generative AI on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/strategy-gen-ai-maturity-model/introduction.html) (AWS Prescriptive Guidance)

## Prompt engineering and management
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+ [Prompt engineering best practices to avoid prompt injection attacks on modern LLMs](https://docs.aws.amazon.com/prescriptive-guidance/latest/llm-prompt-engineering-best-practices/introduction.html) (AWS Prescriptive Guidance)

## Retrieval Augmented Generation (RAG)
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+ [Retrieval Augmented Generation options and architectures on AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/retrieval-augmented-generation-options/introduction.html) (AWS Prescriptive Guidance)