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- GenAI Loft London - Day 2: Build, Scale, and Ship with Agentic AI
GenAI Loft London - Day 2: Build, Scale, and Ship with Agentic AI
AWS GenAI Loft | London
Hari:
-
Waktu:
-
Tipe:
TATAP MUKA
Pembicara:
Mandip Gosal | Staff developer advocate, n8n, Ben Kiziltug | VP Sales, n8n, Angel Menendez | Developer Advocate, n8n, Jeff Barr | Chief Evangelist, AWS
Bahasa:
English
Tingkat:
200 - Menengah, 300 - Lanjutan
Pembicara
Tampilkan lebih banyak
A builders’ day for developers and technical founders shaping the next wave of AI innovation.
Agentic AI is moving from hype to real-world impact. On Day 2 of the GenAI Loft, you’ll go hands-on with the latest frameworks, demos, and tools that bring agents into production at scale.
Across interactive sessions led by AWS experts and industry pioneers, you’ll learn how to:
- Design and deploy production-grade AI agents with security and agility.
- Explore Small Language Models (SLMs) and their role in cost-efficient, high-performance applications.
- Get a first look at AWS AgentCore for dynamic workloads and seamless integrations.
- Accelerate your development lifecycle with new-gen tools like Kiro and Amazon Q.
Whether you’re a developer experimenting with AI agents or a technical founder scaling a product, this day gives you the practical skills and frameworks to turn ideas into working, production-ready solutions.
Who should attend: Developers, engineers, and technical founders eager to build with the latest in Agentic AI.
Agenda
8:30 AM UTC
Building agents with n8n. A keynote with Jeff Barr
9:45 AM UTC
Small Language Models and Agentic AI with Julien Simon, Arcee
Julien Simon | Jeff Barr | Chief Evengelist Arcee | Chief Evangelist, AWS
In the dynamic realm of Artificial Intelligence (AI), Small Language Models (SLMs) are emerging as indispensable tools for organizations. Their unique blend of performance, cost-effectiveness, and resource efficiency is reshaping the AI landscape. Join Julien Simon, Chief Evangelist at Arcee, diving deep into the role Small Language Models in the future of AI and agentic applications.
11:00 AM UTC
Agents in production with Tines
Jonah Craig | Startups Solutions Architect, AWS
Do you want to learn how to build a production grade agentic AI application in your business? Join us to dive deep into Amazon Bedrock's built-in production grade features. We'll cover practical implementation of security best practices including Guardrails, access controls and prompt engineering safeguards. In this talk, Tines, a security startup, will be sharing real-world examples of leveraging Bedrock's capabilities while maintaining the agility needed in modern AI development. Whether you're building customer-facing AI applications or internal tools, you'll walk away with actionable insights on deploying genAI applications.
1:00 PM UTC
AWS Agentcore first look
Diana Alvarado | Specialist Senior Solutions Architect, AWS
Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. AgentCore services can be used together or independently and work with any framework including CrewAI, LangGraph, LlamaIndex, and Strands Agents, as well as any foundation model in or outside of Amazon Bedrock, giving you ultimate flexibility. Come learn from AWS experts how to build and deploy agents to production.
2:00 PM UTC
Accelerate your development lifecycle with Kiro and Amazon Q
Discover how to transform your software development process with Kiro, AWS's groundbreaking AI-powered Integrated Development Environment. This session introduces Kiro, built on open-source VS Code, which revolutionizes how developers translate ideas into production-ready code through spec-driven development. Learn how Kiro intelligently generates structured requirements and designs from simple prompts, allowing you to focus on innovation rather than boilerplate. We'll demonstrate how Kiro's AI agents automate routine coding tasks while maintaining project context and organization, significantly reducing development cycles.