Hands on Lab:Deploying Application with AI Integration for General Queries using Bedrock,Lambda&API

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Description:
In this hands-on lab, we demonstrate how to deploy an AI-integrated application using AWS services like Amazon Bedrock, Lambda, API Gateway, and GitHub. This Proof of Concept (POC) walks you through the step-by-step process of setting up AI-based query handling, integrating various AWS services, and deploying the solution with seamless automation. Learn how to combine the power of AI with serverless computing to deliver scalable, efficient applications. This tutorial is ideal for developers, AI enthusiasts, and cloud engineers looking to integrate AI with real-world applications.

Keywords:
AWS Bedrock, Amazon Bedrock, AI integration, AWS Lambda, API Gateway, GitHub, AI-powered applications, Bedrock with Lambda, Bedrock AI integration, AI queries handling, serverless computing, AI with Lambda, AWS services integration, Lambda functions, API Gateway setup, GitHub CI/CD, deploying AI applications, AI-driven development, Bedrock POC, AI architecture, serverless AI, Lambda for AI apps, API Gateway Lambda integration, AI query processing, AI in AWS, cloud-based AI, Lambda for AI tasks, AI model deployment, AI automation, AWS AI services, Bedrock API Gateway integration, AI-powered infrastructure, serverless AI deployment, Bedrock tutorial, AI-based queries, cloud application development, AWS Lambda tutorial, AWS Bedrock use cases, AWS AI proof of concept

Tags:
AWS Bedrock, Amazon Bedrock, AI integration, AWS Lambda, API Gateway, GitHub, AI-powered applications, Bedrock with Lambda, Bedrock AI integration, AI queries handling, serverless computing, AI with Lambda, AWS services integration, Lambda functions, API Gateway setup, GitHub CI/CD, deploying AI applications, AI-driven development, Bedrock POC, AI architecture, serverless AI, Lambda for AI apps, API Gateway Lambda integration, AI query processing, AI in AWS, cloud-based AI, Lambda for AI tasks, AI model deployment, AI automation, AWS AI services, Bedrock API Gateway integration, AI-powered infrastructure, serverless AI deployment, Bedrock tutorial, AI-based queries, cloud application development, AWS Lambda tutorial, AWS Bedrock use cases, AWS AI proof of concept

Hashtags:
#AWSBedrock #AIPoweredApp #AWSLambda #APIGateway #GitHubIntegration #AIQueriesHandling #BedrockLambda #AIIntegration #ServerlessAI #CloudAI #AIApplicationDeployment #BedrockPOC #AIAutomation #AWSAI #LambdaFunctions #ServerlessComputing #AIinCloud #CloudDevelopment #AIModelDeployment #AWSHandsOnLab #AIDrivenDevelopment

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Description:
In this video, we'll cover how to resolve CORS (Cross-Origin Resource Sharing) issues for your website. CORS errors often occur when a web application tries to access resources hosted on a different domain. These errors can prevent your website from functioning correctly, especially when integrating APIs. We’ll walk through common CORS issues, explain why they occur, and show you how to fix them using various techniques such as modifying server headers, using proxies, and setting.
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