Computer Vision on AWS
Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
LMNBCreated by Jay Rao, Lauren Mullennex, Nate Bachmeier
Explore how to build and deploy computer vision solutions using AWS AI services. You'll learn to automate visual data analysis, tackle real-world use cases, and integrate scalable CV models into production environments with minimal coding.
Packt | Mar 2023 | 324 min
What You Will Learn
You will work through practical examples that demonstrate how to solve business challenges with computer vision on AWS. Along the way, you'll use Amazon Rekognition, Lookout for Vision, and SageMaker to annotate data, train models, and deploy solutions. Each step introduces actionable techniques and tips for building robust, production-ready pipelines.
Key Features
- Quickly automate end-to-end computer vision workflows using AWS services
- Apply proven design principles to scale and secure your CV solutions
- Master real-world CV use cases with hands-on code examples and best practices
Target Audience
This content is ideal for machine learning engineers and data scientists who already understand AWS basics and Python. If you want to build, deploy, and scale computer vision solutions for real business needs, you'll find clear guidance and practical strategies to advance your skills and deliver results.
