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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

What Youll Learn How Pulumi works with AWS Setting up Pulumi with Python Deploying various AWS services with real-world examples Best practices and advanced tips Why Pulumi for AWS? Multi-Cloud and Multi-Language Support Deploy across AWS, Azure, and Google Cloud with Python, TypeScript, Go, or.NET.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. We laid the groundwork for understanding the essentials that underpin the forthcoming discussions.

AWS 147
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How to Deploy Tomcat App using AWS ECS Fargate with Load Balancer

Perficient

Fargate: AWS Fargate, which is a serverless infrastructure that AWS administers, Amazon EC2 instances that you control, on-premises servers, or virtual machines (VMs) that you manage remotely are all options for providing the infrastructure capacity.