Course Objectives
1. What exactly Amazon Rekognition training cover?
- Amazon Rekognition training covers building and deploying image and video analysis solutions in the AWS cloud.
- You learn to detect objects, faces, text, celebrities, and activities, and integrate automated content moderation, identity verification, and custom labeling into applications—without needing machine learning expertise.
2. What are the main objectives of the Amazon Rekognition course for your development skills?
- Master automated visual recognition for images and videos.
- Confidently build real-world solutions for content moderation, security, and analytics.
- Integrate Rekognition features with AWS services for scalable, cloud-based workflows
Popular Techniques Covered in This Course
1.Cloud storage and AWS IAM basics
2.Rekognition API/SDK usage (Python, Node.js, etc.)
3.Image and video analysis fundamentals
4.Object and scene detection
5.Model deployment and inference
6.Security, encryption, and compliance
7.Automated Content Moderation Tool
8.Custom labels/model training
9.Content moderation workflows
10.Monitoring and troubleshooting
Get Hands-on Knowledge about Real-Time Projects
Project 1
1.Automated Content Moderation Tool
Build an app that automatically scans uploaded images in an S3 bucket, flags unsafe content using Rekognition, and notifies administrators via SNS.
Project 2
2.Face-Based User Verification System
Develop a workflow to compare users’ selfies with stored images for authentication, integrating Rekognition face comparison with Lambda and DynamoDB.
Key Features
Edubrights offers Amazon Rekognition Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: Introduction to Amazon Rekognition
- Overview of computer vision & AWS Rekognition
- Rekognition core features and architecture
- Key use cases in industry
Module 2: Setting Up and Accessing Rekognition
- AWS account setup, IAM roles and permissions
- Rekognition console, API, and SDKs (Python, Node.js)
- Connecting with S3 buckets and Lambda
Module 3: Image and Video Analysis Fundamentals
- Detecting objects, scenes, and activities in images/videos
- Understanding label detection and confidence scores
- Text in images: Extraction and recognition
Module 4: Facial Recognition and Analysis
- Face detection, facial attributes analysis
- Face comparison and identity matching
- Managing face collections and indexing
Module 5: Content Moderation and Compliance
- Detecting explicit, suggestive, or unsafe content
- Setting up moderation workflows for images and videos
- Using confidence thresholds in moderation tasks
Module 6: Custom Labels and Model Training
- Creating custom labeled datasets
- Training and deploying models for specific object detection
- Evaluating and improving custom models
Module 7: Advanced Integration and Automation
- Using Rekognition with Lambda, SNS, and DynamoDB
- Automated alerting and notifications
- Monitoring and troubleshooting workflows
Module 8: Security, Compliance, and Cost Optimization
- Encryption and secure data management
- Auditing and logging (CloudTrail, CloudWatch)
- Best practices for cost-effective image/video analysis
Module 9: Capstone Project
- Developing a complete application using Rekognition features
- Documentation and deployment in a real-world scenario
Receive Training From Our Skilled and Effective Trainers
Experience in the Industry Gain knowledge from experts with practical Amazon Rekognition project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Succeed Our Resourceful Certification
Our institution offers a globally recognized Amazon Rekognition certification that proves your skills in building image and video analysis solutions on AWS. This program features hands-on projects and real-world use cases, ensuring you’re ready for today’s cloud-driven, AI-enabled applications.
Course FAQs
1. What is Amazon Rekognition?
It’s an AWS cloud service for analyzing images and videos using deep learning to detect objects, faces, text, scenes, and unsafe content.
2. Is machine learning expertise needed to use Rekognition?
No, Rekognition offers pre-trained APIs and custom labeling with no ML experience required.
3. Can Rekognition analyze videos as well as images?
Yes, it supports both stored and streaming video for object, activity, and face detection
4. Does Rekognition handle text detection?
Yes, it can extract printed and handwritten text from images and video frames.
5. How does Rekognition ensure data security?
It supports encryption, IAM-based access control, and detailed logging for compliance
6. What are custom labels in Rekognition?
Custom labels let you train Rekognition to detect objects unique to your business with as few as 10 sample images.
7. Does Rekognition provide content moderation?
Yes, it detects explicit, violent, or suggestive content in media files.
8. Can Rekognition work in real-time applications?
Absolutely—it’s optimized for real-time analysis of images and live video streams.
9. How can I integrate Rekognition in my apps?
Use AWS SDKs, APIs, and connect with other AWS services (Lambda, S3, DynamoDB).
10. What types of results does Rekognition return?
Results include detected labels, objects, faces, confidence scores, bounding boxes, attributes, and category metadata for easy processing.
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