Udemy – Amazon Rekognition: Object| Label| Facial Analysis 2024-11

Published on: 2024-12-15 18:36:46

Categories: 28

Description

The Amazon Rekognition: Object| Label| Facial Analysis course helps you get started with advanced image and video analysis tools provided by Amazon Rekognition. This powerful service from AWS allows developers to easily integrate image and video recognition capabilities into their applications. You’ll learn how to perform object detection and labeling, facial analysis, image correction, and much more. With hands-on projects and real-world examples, this course equips you with the skills you need to work with machine learning models that can analyze and detect objects, text, faces, and inappropriate content. Whether you’re building an application with object recognition or creating systems for content moderation, this course covers everything from basic setup to advanced integrations.

What you will learn in the Amazon Rekognition: Object | Label | Facial Analysis course

Amazon Rekognition Fundamentals: Understand the core capabilities of Amazon Rekognition, including object recognition, label recognition, and facial analysis.
Object and Label Detection: Perform object detection and labeling in images and videos in real time.
Image Moderation: Using recognition to filter inappropriate or sensitive content in images.
Facial Analysis: Analysis of facial features such as age, emotions, and gender.
Advanced Rekognition Features: Implements famous face recognition to identify famous personalities.
AWS Integration and Automation: Integrate Recognition with AWS Lambda for serverless automation.
Hands-on Projects: Gain practical experience through practical projects such as building an intelligent content moderation system and setting up a facial recognition application.

This course is suitable for people who:

Data scientists and AI enthusiasts: Those who are eager to explore how AI and machine learning can be used in image and video analysis.
Cloud Engineers and Solution Architects: Cloud professionals who want to integrate Amazon Recognition for image recognition, object detection, and facial analysis into their cloud solutions.
Developers and Programmers: Python developers interested in expanding their knowledge of AWS services and using them in real-world use cases.
IoT and smart device developers: Engineers looking to integrate IoT devices with Amazon Recognition for innovative projects such as smart surveillance, automated monitoring systems, or IoT-based security solutions.
Digital Forensics and Security Analysts: Security, digital forensics, and compliance professionals who want to use AI-based tools to detect inappropriate content, moderate content, and perform facial recognition.
Students and Tech Enthusiasts: University students, tech enthusiasts, and self-taught professionals interested in hands-on experience with Amazon Recognition for projects and research.
Business analysts and product managers: Business professionals looking to use AI to improve product offerings in areas such as customer identification, automated content moderation, or improving user experience through image and video analysis.

Amazon Rekognition: Object| Label| Facial Analysis Course Details

Publisher: Udemy
Instructor: EDUCBA Bridging the Gap
Training level: Beginner to advanced
Training duration: 3 hours and 3 minutes
Number of lessons: 20

Course headings

Prerequisites for the Amazon Rekognition: Object| Label| Facial Analysis course

Basic Understanding of AWS: Familiarity with AWS services, particularly IAM, S3, and Lambda, is recommended.
Programming Knowledge: Basic to intermediate skills in Python programming are essential, as the course involves writing scripts to interact with AWS Rekognition.