🚀 AWS AI Agents for Absolute Beginners (2026) | Mock Interview Agent Architecture
In this video, we'll design and understand the architecture of a real-world AI Agent built on AWS. We'll explore how to build a Voice-Based Mock Interview AI Agent using Amazon Bedrock, AWS Lambda, Amazon Transcribe, Amazon Polly, DynamoDB, API Gateway, and Amazon S3. This is an architecture-focused session where we'll break down the complete end-to-end workflow and understand how different AWS services work together to create an intelligent interview system. 🎯 What You'll Learn ✅ How AI Agents work on AWS ✅ Architecture of a Voice-Based Mock Interview Agent ✅ Role of Amazon Bedrock in Question Generation & Evaluation ✅ How Amazon Transcribe converts speech to text ✅ How Amazon Polly converts text to speech ✅ Why we use a Durable Lambda Orchestrator ✅ How DynamoDB stores interview sessions and scores ✅ How Amazon S3 stores final interview reports ✅ End-to-End AWS AI Agent Flow 📌 Architecture Flow Covered Candidate → API Gateway → Durable Lambda Orchestrator → Amazon Bedrock Voice Flow: Candidate Voice → Amazon Transcribe → Durable Lambda → Amazon Bedrock → Amazon Polly → Candidate Storage: → DynamoDB (Interview Memory) → Amazon S3 (Final Reports) 🚀 Technologies Used • Amazon Bedrock • AWS Lambda • Amazon API Gateway • Amazon Transcribe • Amazon Polly • Amazon DynamoDB • Amazon S3 • AI Agents • Generative AI on AWS This video is part of the AWS AI Agents for Absolute Beginners series where we learn AI Agent design, architecture, and implementation using real-world projects. 📚 Series Roadmap Episode 1: Mock Interview AI Agent Architecture Episode 2: Infrastructure Setup Episode 3: Durable Lambda Orchestrator Episode 4: Amazon Bedrock Integration Episode 5: Voice AI with Transcribe & Polly Episode 6: AI Evaluation & Report Generation Episode 7: End-to-End Deployment #AWS #AWSAI #AmazonBedrock #AIAgents #GenerativeAI #AWSLambda #AmazonTranscribe #AmazonPolly #DynamoDB #CloudComputing #Serverless #AWSTutorial #AWSForBeginners #AWSWithJaymit

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