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AWS Cloud Tutorial

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AWS Examples

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AWS Generative AI Services


AWS Generative AI Services

AWS provides several services for building and deploying generative AI applications, from pre-built models to fully managed foundation model access.


Amazon SageMaker JumpStart

An ML hub within SageMaker AI that accelerates building and deploying models. Offers pre-built solutions for computer vision, NLP, and tabular data that can be fine-tuned and deployed with a few clicks.

Use cases: Rapid model deployment, custom fine-tuning with domain data, ML experimentation and prototyping.


Amazon Bedrock

A fully managed service providing access to foundation models from Amazon and leading AI providers (Claude, Stable Diffusion) through a single API. Experiment with FMs, fine-tune with your data, and integrate into AWS applications.

Use cases: Enterprise generative AI apps, multimodal content generation, conversational AI with enterprise data.



Amazon Q

A generative AI assistant that helps organizations streamline processes and improve productivity.

Amazon Q Business

Answers questions using your company's data repositories with secure connections to commonly used systems.

Use cases: Information requests, automated workflows, insight extraction.

Amazon Q Developer

Provides code recommendations across C#, Java, JavaScript, Python, TypeScript, and more. Integrates with multiple IDEs and generates entire functions.

Use cases: Faster code generation, improved reliability, automated code reviews.


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