AWS
aws · Cloud, platform and reliability · tool
Also known as: aws, amazon web services.
Narrower concepts
The lesson for this
- AWS and EKS foundations for an ML platform
- Deploying into customer clouds: AWS, Google Cloud and Azure
Practice paths with this tool
- Practice: Autoscaling and cost efficiency: right-sizing, spot mix and GPU utilization
- Practice: Deploying into customer clouds: AWS, Google Cloud and Azure
- Practice: Containers, CI/CD and serverless delivery
- Practice: Networking for private, air-gapped and classified customer environments
- Practice: Scaling and performance-cost tradeoffs for LLM systems
- Practice: Security, identity and access, and compliance for ML platforms
- Practice: Technical scoping, design docs and solution architecture for customer engagements