Best Practices for Producing High-Quality Deep Learning Systems
summary
Best practices for building and deploying production-quality deep learning systems on AWS, covering AWS machine learning services and complementary AWS technologies. Concrete use cases include implementing scalable production solutions such as recommendation systems, forecasting, and prediction, with guidance drawn from real implementation experience.
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chapters (9)
- 0:00Introduction
- 1:43Production trends
- 5:35Local environment challenges
- 8:45MLOps operational processes
- 9:47Future ML evolutions
- 12:15AWS AI services
- 21:05SageMaker Studio
- 27:04ML pipeline demo
- 30:36Conclusion
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