Practical AWS Rekognition: Image & Video AI — PickAClass
⏱ 3h 📚 30 lessons 🎧 Audio version

Practical AWS Rekognition: Image & Video AI

Learn to apply cloud-based AI to interpret visual content, identify objects, and automate media processing workflows.

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About this course

In today's digital world, applications increasingly need to understand and process visual data. AWS Rekognition offers powerful artificial intelligence capabilities for this, enabling you to add intelligent image and video analysis to your projects without needing deep machine learning expertise. This course provides a comprehensive introduction to leveraging this service. By the end of this course, you will confidently use AWS Rekognition to analyze images and videos, extract meaningful insights, and integrate these capabilities into your cloud applications. What you'll learn: * Understand the core concepts of AWS Rekognition and its various features. * Apply Rekognition to detect objects, scenes, and activities in images and videos. * Extract text from visual content and recognize faces, including personal protective equipment. * Implement moderation for unsafe content and analyze celebrity recognition within media. * Explore ethical considerations and responsible AI practices when utilizing facial analysis and content moderation. * Integrate Rekognition with other AWS services like S3 and Lambda for automated processing workflows. * Practice interpreting Rekognition API responses and handling common use cases. This course begins with foundational concepts and service setup, then guides you through practical applications of Rekognition's detection and analysis features, culminating in discussions on integration and best practices. You will gain hands-on understanding through clear, written explanations and code snippets. This course is designed for beginners in cloud computing and AI, developers new to AWS, and anyone interested in adding intelligent image and video analysis to their projects. No prior experience with machine learning or AWS Rekognition is required. Start building intelligent visual applications with AWS Rekognition today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    3h of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Practical AWS Rekognition: Image & Video AI
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Practical AWS Rekognition: Image & Video AI
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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