Areas: AWS topics, anything for cloud engineer, developers, cloud-native technologies, software engineer, data scientist, data engineer, ML engineer or AI engineer:
- from compute to serverless: EC2, containers, Kubernetes, Lambda and event-driven architectures
- from storage to data platforms: S3, databases, data lakes, streaming and analytics services
- from machine learning to generative AI: SageMaker, Bedrock, MLOps pipelines and production AI systems
- from infrastructure to automation: Infrastructure as Code, CDK, CloudFormation, CI/CD and platform engineering
- from networking to connectivity: VPC, hybrid cloud, multi-region and edge architectures
- from security to compliance: IAM, security best practices, governance and secure architectures
- from usage to optimization: cost management, FinOps practices, budgeting and cloud cost governance
- from observability to reliability: monitoring, logging, tracing, incident response and high availability

Only tecnical talks:
- no marketing, except to name own company or product
- yes code, notebook or concepts & best practices description
- your experience in any AWS services