Agentic AI
Autonomous AI systems that plan, reason, and act on your behalf.
Every topic covered at AWS Summit Sydney, organised for self-paced learning. Click any card to dive in.
Autonomous AI systems that plan, reason, and act on your behalf.
Security is job zero — shared responsibility, defense in depth.
Ground LLMs in your own data without retraining.
Foundation models that generate text, images, code, and more.
Build natural voice and chat experiences for customers.
Purpose-built databases for every workload.
Run containers at scale on Kubernetes or ECS.
Smart factories, digital twins, and predictive operations.
Logs, metrics, traces — and now AI-powered insights.
Move beyond vibe-coding with AWS's agentic IDE.
The end-to-end platform for building, training, and deploying ML models.
Turn raw data into insights — and let AI write your queries.
Stream, create, and monetise content with AWS.
The world's broadest selection of compute — including AWS-designed silicon.
Move workloads to AWS — and modernize them along the way.
The open standard that lets AI assistants plug into any tool or data source.
Run code without managing servers — pay only for what you use.
Design for failure — because everything fails, all the time.
Process millions of events per second as they happen.
AI, real-time payments, fraud, and regulation in FSI.
Ship faster, safer, with automation end to end.
Make data discoverable, trustworthy, and compliant.
Citizen services, defense and sovereign cloud capability.
AI for clinicians, researchers, and patients.
Build fast, scale globally, fail cheap.
AI pair programmers that actually ship.
Open source search and vector databases at any scale.
Industry-leading object, block, and file storage.
Build the network: VPC, CloudFront, Route 53, Transit Gateway.
Build the data foundation that powers analytics and AI.
Ship full-stack mobile and web apps in days, not months.
Power online games — from indie to AAA.
Build a culture of accountability for cloud spend.
Generative AI assistants for developers, business users, and contact centers.
Six pillars for building great cloud workloads.
Connect, secure, and analyze billions of devices.
Build inclusive teams and equitable AI.
Build with the planet in mind.