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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

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the AWS Serverless & AI/ML Project-Based Cloud Specialization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

Throughout this project-driven journey, learners gain practical experience with object and label detection, image moderation, facial landmarks, celebrity recognition, face comparison, and text extraction. They also learn how to design serverless pipelines that integrate Rekognition with AWS Lambda and SNS to trigger automated processing. By completing the course, learners will be able to confidently apply deep-learning powered visual intelligence features within real-world applications—without managing complex infrastructure. What makes this course unique is its end-to-end, scenario-based approach that mirrors real industry use cases. Instead of abstract theory, learners work directly with live AWS services, exploring how Rekognition functions inside production-ready serverless environments. Whether for content moderation, security automation, metadata extraction, or intelligent media workflows, this course provides the practical foundation needed to implement AI-driven solutions at scale.

Module details

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

9 videosTotal 78 minutes

Introduction to Project9 minutes
Amazon Recognition7 minutes
Recognition Set Up7 minutes
Object and Label Detection8 minutes
Object and Label Detection Continue10 minutes
Object and Label Detection with Notification12 minutes
Image Moderation11 minutes
Image Moderation Continue4 minutes
Detect Unsafe Content10 minutes

4 assignmentsTotal 60 minutes

Foundations of AWS Rekognition & Image Intelligence30 minutes
Getting Started with Serverless Image Analysis10 minutes
Core Object & Label Detection Workflows10 minutes
Image Safety & Moderation Techniques10 minutes

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.