Book

Computer Vision on AWS

Computer Vision Using AWS AI Services enables machine learning engineers and data scientists to build and scale CV applications on AWS quickly. This comprehensive guide covers best practices to consider and shows you how to integrate AWS AI/ML services into production environments with little code.

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Difficulty Level
Intermediate
Completion Time
10h48m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 10h48m total length

1. Computer Vision Applications and AWS AI/ML Overview
2. Interacting with Amazon Rekognition
3. Creating Custom Models with Amazon Rekognition Custom Labels
4. Using Identity Verification to Build a Contactless Hotel Check-In System
5. Automating a Video Analysis Pipeline
6. Moderating Content with AWS AI Services
7. Introducing Amazon Lookout for Vision
8. Detecting Manufacturing Defects using CV at the Edge
9. Labeling Data with Amazon SageMaker Ground Truth
10. Using Amazon SageMaker for Computer Vision
11. Integrating Human-in-the-Loop with Amazon Augmented AI (A2I)
12. Best Practices for Designing an End-to-End CV Pipeline
13. Applying AI Governance in CV

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