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AWS Rekognition Course

AWS Rekognition Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

Master AWS Rekognition through a targeted, practical course that teaches you how to upload images using S3, activate Lambda processes, and manage complete analysis workflows with API Gateway, DynamoDB, SQS, and Step Functions. Gain knowledge in label detection, face analysis, content moderation, confidence adjustment, privacy guidelines, and cost efficiency to implement precise, expandable, and rule-compliant image processing in live environments.

Elevify advantages

Develop skills

  • Build AWS Rekognition pipelines: S3, Lambda, API Gateway, DynamoDB in practice.
  • Design robust image categorisation: labels, thresholds, confidence strategies.
  • Implement cost-optimised Rekognition: batching, async flows, right-size Lambdas.
  • Create production-ready moderation rules: block, allow, flag with clear audits.
  • Apply privacy-first data models: minimal PII, encryption, secure access control.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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