Spring AI + AWS Bedrock | (Complete Setup & Demo)

"In this video, we build a chat application using Spring AI and AWS Bedrock step by step. We will: Explore AWS Bedrock Access AI models (Claude, Titan, etc.) Create IAM user and policy Generate access key and secret key Configure Spring Boot application Connect Spring AI with AWS Bedrock Test the API successfully 🔥 Why use AWS Bedrock? Easy to manage Easy to scale Easy to integrate 👉 Prerequisites: Java 17+ Spring Boot basics AWS account with Bedrock access 💡 This tutorial is beginner friendly and practical. 👍 If you found this helpful: Like • Share • Subscribe for more Java + AI content 🚀 00:00 Introduction 00:18 Recap of AI Model Approaches 01:05 Why Cloud Providers (AWS, GCP) 01:30 What is AWS Bedrock 02:10 Models in Bedrock (Amazon, Anthropic, OpenAI) 02:50 Multi-model Platform Explanation 03:20 Selecting a Model (Claude Sonnet) 04:00 AWS Account & Login 04:25 Navigating Bedrock Dashboard 05:00 Testing Model in Playground 05:40 Goal: Integrate with Spring AI 06:00 IAM Policy Creation 07:10 Creating Bedrock User 08:00 Generating Access Key & Secret Key 09:00 Spring Boot Setup Overview 09:30 Adding Dependency (pom.xml) 10:00 Application Properties Configuration 10:45 Setting AWS Region 11:15 Using Environment Variables (Best Practice) 12:00 Selecting Model & Configuration 12:45 Running Spring Boot Application 13:10 Testing API Endpoint 13:40 Error: Validation Exception 14:10 Fix: Using Inference Profile ID 15:00 Restart & Retest 15:30 Successful Response (Claude Output) 16:00 Test Query (Prime Minister of India) 16:30 Final Recap 17:10 Advantages of AWS Bedrock 17:40 Conclusion / Outro #SpringAI #AWSBedrock #SpringBoot #GenerativeAI #Java #AI"