AWS Rekognition Training
Introduction to AWS Rekognition
AWS Rekognition is a service that provides image and video analysis using deep learning technology. This course introduces the core features of AWS Rekognition, including image recognition, object detection, facial analysis, and video analysis.
Overview of AWS Rekognition
Learn about the key features of AWS Rekognition, including image and video analysis capabilities. Understand how Rekognition can be used for object and scene detection, facial analysis, and identifying celebrities and text in images.
Image Analysis with AWS Rekognition
Discover how to perform image analysis using AWS Rekognition. Learn how to use Rekognition for detecting objects, scenes, and faces, recognizing text, and identifying celebrities in images.
Facial Analysis and Recognition
Explore facial analysis features in AWS Rekognition. Learn how to detect and analyze facial features, recognize individuals, and match faces across different images. Understand how to use facial attributes for enhancing security and user experience.
Video Analysis and Processing
Gain insights into video analysis capabilities of AWS Rekognition. Learn how to analyze video streams for detecting objects, activities, and facial recognition, and how to integrate video analysis into applications for real-time processing.
Custom Labels and Model Training
Learn how to create and use custom labels in AWS Rekognition. Understand how to train custom models for specific use cases by labeling your own datasets and using these models to enhance image and video analysis.
Integration and Application Development
Discover how to integrate AWS Rekognition into your applications. Learn how to use AWS SDKs and APIs to build applications that leverage Rekognition's image and video analysis capabilities for various use cases.
Monitoring and Logging
Explore monitoring and logging practices for AWS Rekognition. Learn how to use AWS CloudWatch and AWS CloudTrail to track service usage, monitor performance, and troubleshoot issues.
Security and Compliance
Understand security and compliance best practices for using AWS Rekognition. Learn about managing access controls with AWS IAM, securing data, and ensuring compliance with privacy regulations.
Cost Management and Optimization
Understand cost management strategies and optimization techniques for AWS Rekognition. Learn about the pricing model for image and video analysis requests and explore best practices for managing and reducing costs.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS Rekognition. Learn from practical examples of how organizations have used Rekognition’s capabilities to build innovative solutions for security, media, and user engagement.
AWS Rekognition Syllabus
1. Introduction to AWS Rekognition
- Overview of AWS Rekognition service
- Capabilities and use cases for image and video analysis
- Introduction to machine learning concepts used in Rekognition
2. Getting Started with AWS Rekognition
- Setting up AWS Rekognition in the AWS Management Console
- Rekognition API and SDKs overview
- Basic image and video analysis requests
3. Image Analysis Features
- Object and scene detection
- Facial analysis (detection, recognition, comparison)
- Text detection and extraction
4. Video Analysis Features
- Video analysis capabilities (person tracking, face recognition over time)
- Content moderation (detecting inappropriate content)
- Custom labels and moderation policies
5. Advanced Image and Video Analysis
- Celebrities recognition and indexing
- Label detection and hierarchical taxonomy
- Customizing and training models with custom labels
6. Integrating Rekognition with Applications
- Using Rekognition with AWS Lambda for serverless applications
- Integrating Rekognition with Amazon S3, Amazon DynamoDB, and other AWS services
- Implementing Rekognition in web and mobile applications
7. Security and Compliance
- Secure handling of images and videos with Rekognition
- Compliance considerations (GDPR, HIPAA)
- IAM roles and policies for Rekognition access control
8. Performance Optimization
- Managing Rekognition API calls and rate limits
- Caching and optimizing image and video analysis requests
- Monitoring and optimizing costs
9. Advanced Image Analysis Techniques
- Fine-grained object detection and localization
- Scene understanding and context extraction
- Multi-label and hierarchical taxonomy support
10. Custom Model Training with Rekognition Custom Labels
- Creating and training custom image analysis models
- Data preparation and labeling best practices
- Evaluating model performance and iterating on improvements
11. Video Analysis and Real-time Applications
- Real-time face recognition and tracking in videos
- Activity recognition and event detection
- Implementing multi-frame analysis for complex scenarios
12. Integrating Rekognition with Machine Learning Services
- Using Rekognition with Amazon SageMaker for model training and deployment
- Enhancing Rekognition capabilities with Amazon Comprehend for natural language processing
- Integrating Rekognition insights with Amazon Personalize for personalized recommendations
13. Advanced Security and Compliance Features
- Implementing advanced encryption and data protection measures
- GDPR and HIPAA compliance considerations with Rekognition
- Implementing audit trails and access controls for sensitive data
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details