AI and Machine Learning on AWS
Practical guide to adopting AI and ML on AWS. Covers SageMaker, Bedrock, pre-built services, MLOps, cost management, and responsible AI practices - a clear-headed overview for teams evaluating their options.
What's included
- 10-chapter comprehensive guide (8,000+ words)
- Three-tier AWS AI/ML service landscape
- Amazon SageMaker for custom models
- Amazon Bedrock and foundation models
- Pre-built services (Rekognition, Comprehend, Textract)
- Data preparation and feature engineering
- MLOps and model operationalisation
- Cost management for AI/ML workloads
- Responsible AI and governance framework
- Complete AI/ML readiness checklist
Who is this for?
Technical leaders, architects, and engineers evaluating or adopting AI and ML services on AWS. Also useful for business leaders who want to understand the practical considerations before investing in AI initiatives.
How it works
After purchase, you receive an instant download link via email. The guide is a structured PDF that walks you through the AWS AI/ML landscape, helping you choose the right services and build a practical adoption plan.
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