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Labs

Build a Smart Meeting Summarizer Pipeline using AWS

In this hands-on lab, you’ll build an event-driven audio processing pipeline using Amazon S3, AWS Lambda, and Amazon Transcribe. You’ll configure an S3 bucket to store meeting recordings, create a Lambda function to automatically start transcription jobs upon upload, and set up the necessary IAM permissions for secure service integration. You’ll then create a second Lambda function to process completed transcripts, extract key insights, and store structured analysis results in S3—demonstrating how serverless services can be combined to automate scalable, enterprise-ready workflows.

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Lab platform
Lab Info
Level
Advanced
Last updated
Apr 05, 2026
Duration
30m

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Table of Contents
  1. Challenge

    Explore Building Event-driven Pipelines

    You’ll gain experience designing loosely coupled systems Amazon EventBridge to trigger downstream workflows upon completion of long-running jobs.

  2. Challenge

    Discover Launch Asynchronous Amazon Transcribe Jobs using Lambda

    You’ll gain hands-on experience with writing two Lambda functions: one that starts the transcription process and one that processes the output once the job completes. This teaches you how to use stateless functions to handle discrete stages of a pipeline in a scalable and maintainable way.

  3. Challenge

    Coordinate Cross-service Events using EventBridge

    You’ll configure EventBridge to detect when transcription jobs finish and route those events to the appropriate processing logic. This objective highlights how to decouple system components and trigger downstream workflows based on service events rather than polling or tight integration.

  4. Challenge

    Monitor Multi-step Serverless Pipeline using CloudWatch

    As you monitor the pipelines, you’ll analyze logs to verify each stage of the workflow, strengthening your ability to debug and validate event-driven systems.

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