- Events
- Amazon AI Prototyping Camp
Amazon AI Prototyping Camp
AI
Amazon Bedrock
AWS Startups
Generative AI
Day:
-
Time:
-
Type:
IN PERSON
Speakers:
James Dinh | Solutions Architect, AWS, Ramesh Heidary | Associate Solutions Architect, AWS, Kenny Han | Associate Solutions Architect, AWS
Language:
English
Level(s):
200 - Intermediate, 300 - Advanced
Speakers
In one focused afternoon, rapidly take your autonomous agent ideas from concept to tangible prototype, powered by cutting-edge tools like Amazon Bedrock AgentCore, Kiro, and Strands Agents with guidance from AWS and AI experts.
Who Should Attend?
- Starting to build AI agents? Let’s prototype it.
- Perfect for CTOs, solution architects, and innovation leads eager to explore how autonomous AI agents can transform operations and business models.
- Already have a prototype? Let’s take it to production.
- Ideal for ML engineers, AI practitioners, and developers seeking guidance around enterprise-ready AI agent frameworks, multi-agent orchestration, and production workflows.
Why Attend?
- Discover the Full-Agent-Stack: Dive deep into Amazon Bedrock AgentCore and learn how its enterprise-grade services can accelerate AI agent adoption for your business.
- Hands-On Innovation: Experience AI prototyping with Kiro’s autonomous spec-to-code development, and leverage Strands Agents to orchestrate powerful multi-agent solutions.
- Future-Proof Solutions: Learn best practices for security, scalability, and maintainability in enterprise AI agent architecture.
- Leave Ready: Take home a working prototype plus resources to keep building and scaling your solution.
What to Expect
- Deep dive: Foundations of architecting and building a production-grade Agentic AI solution leveraging Amazon Bedrock AgentCore.
- Hands-on Workshop: Workshop to build agent foundations, configure customisations, and extend functionality.
- Guided Prototyping Session: Prototyping time to ideate, build, and test your new data solution with AWS' help.
By registering, you agree to the AWS Event Terms & Conditions and AWS Code of Conduct.