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re:Invent 2019
- AIM214-R1 – Introducing Amazon SageMaker Studio, full IDE for ML (re:Invent 2019) – Key Takeaways
- AIM215-R1 – Introducing SageMaker Autopilot (re:Invent 2019) – Key Takeaways
- AIM216-R1 – Amazon SageMaker Debugger – Insights into ML model (re:Invent 2019) – Key Takeaways
- AIM218-L – Leadership session – Machine learning (re:Invent 2019) – Key Takeaways
- AIM240-P – What can you build with AI No ML experience required (re:Invent 2019) – Key Takeaways
- AIM307 – Amazon SageMaker deep dive – A modular solution for machine learning (re:Invent 2019) – Key Takeaways
- AIM326-R – Implement ML workflows with Kubernetes and Amazon SageMaker – re:Invent 2019 – Key Takeaways
- API304 – Scalable serverless event-driven applications using Amazon SQS & Lambda – re:Invent 2019 – Key Takeaways
- API305-R1 – Building serverless machine-learning workflows – Key Takeaways
- ARC340-R1 – Amazon.com automating machine learning deployments at scale (re:Invent 2019) – Key Takeaways
- DOP-404R Amazon’s approach to high-availability deployment
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