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- AI for Work & Code: Quick Suite, Quick Desktop, Kiro & AgentCore Workshop
AI for Work & Code: Quick Suite, Quick Desktop, Kiro & AgentCore Workshop
Generative AI
Day:
-
Time:
-
Type:
IN PERSON
Speakers:
Shyam Sundar Rajkumar | Sr. Solutions Architect, AWS, Anup Dutta | Solutions Architect, AWS
Language:
English
Level(s):
200 - Intermediate, 300 - Advanced
Speakers
Build AI-Powered Work & Code Tools — From Concept to Production
Join us for an immersive, hands-on workshop where you'll go beyond theory and actually build AI-powered applications using the latest AWS developer and productivity tools.
What You'll Learn
- Amazon Quick Suite & Quick Desktop — Supercharge daily work with AI-native productivity tools that draft, summarize, and automate across your workflow
- Kiro IDE — Ship production-ready AI agents with spec-driven development, built-in guardrails, and automated testing
- Amazon Bedrock AgentCore — Deploy, manage, and scale AI agents in production with enterprise-grade infrastructure
- End-to-End Agent Development — From ideation to deployment: design, build, test, and ship AI agents that solve real business problems
Who Should Attend
This workshop is designed for startup CTOs, engineering leads, and developers who want to:
- Accelerate product development with AI-native tooling
- Build and deploy production-grade AI agents on AWS
- Reduce boilerplate and ship faster with AI-assisted development
- Understand the full AWS AI developer stack
Prerequisites
- Basic familiarity with AWS (console navigation)
- Laptop with a modern browser
- An AWS account (we'll provide credits for hands-on labs)
Key Takeaways
- Working AI agent deployed on AgentCore
- Experience with Kiro IDE's spec-driven development workflow
- Hands-on knowledge of Quick Suite capabilities for daily productivity
- Architecture patterns for production AI agent deployment
How to Register
- Use the event link to complete your registration.
- Following registration, you'll receive an email with instructions for the next steps.
Privacy & Data Usage
- Your personal data will only be shared with event organizers and will not be disclosed to third parties.
General Terms
- AWS reserve the right to modify or cancel the event if necessary.
By registering, you agree to the AWS Event Terms & Conditions and AWS Code of Conduct.