Learners will analyze images, detect objects and faces, extract text, evaluate unsafe content, and automate workflows using AWS Rekognition and Lambda. This hands-on course equips participants with the essential skills to build intelligent, cloud-native image and video analysis solutions.

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Master AWS Rekognition: Analyze, Detect, and Automate
This course is part of AWS Serverless & AI/ML Project-Based Cloud Specialization Specialization

Instructor: EDUCBA
Included with
Recommended experience
What you'll learn
Analyze images and videos using AWS Rekognition for object detection, facial analysis, text extraction, and moderation.
Build serverless automation workflows by integrating Rekognition with AWS Lambda and SNS.
Design and deploy intelligent, cloud-native visual analysis solutions for real-world use cases.
Skills you'll gain
Details to know

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January 2026
8 assignments
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There are 2 modules in this course
This module introduces learners to the fundamentals of AWS Rekognition and its role in serverless image and video analysis. Through practical demonstrations, learners explore object detection, label extraction, and content moderation workflows. The module builds a strong foundation for integrating Rekognition into cloud applications, enabling learners to handle real-world image processing tasks using AWS services.
What's included
9 videos4 assignments
This module expands into advanced capabilities of AWS Rekognition, including facial analysis, celebrity identification, face comparison, text detection, and serverless automation using AWS Lambda. Learners gain hands-on experience with Rekognition’s deep-learning features to build intelligent applications that analyze faces, extract textual information, and process images with scalable serverless workflows.
What's included
10 videos4 assignments
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