Volunteering
We are always looking for people to help us run the community. If you want to help, just complete the form below and we will be in touch shortly.
Below are our latest videos, you can find more great content on our YouTube Channel
If you have a story you would like to share with our community, check out our Call for Papers.
From Prototype to Production with Strands Agents and Amazon Bedrock AgentCore
AI agents are a new class of software applications that use AI models to reason, plan, act, learn, and adapt in pursuit of user-defined goals with limited human oversight. Building AI agents that can reliably perform complex tasks has become increasingly accessible thanks to open source frameworks like Strands Agents. However, moving from a promising proof-of-concept to a production-ready agent that can scale to thousands of users presents significant challenges.
Through hands-on demos, we’ll build a system from scratch and progressively deploy it to production using the comprehensive enterprise-grade services provided by AgentCore.
You’ll learn to implement key production capabilities, including secure session isolation, persistent memory, identity management, and real-time observability. The learnings can be applied to any framework and model, hosted on Amazon Bedrock or elsewhere.
Through hands-on demos, we’ll build a system from scratch and progressively deploy it to production using the comprehensive enterprise-grade services provided by AgentCore.
You’ll learn to implement key production capabilities, including secure session isolation, persistent memory, identity management, and real-time observability. The learnings can be applied to any framework and model, hosted on Amazon Bedrock or elsewhere.
Backend in the Age of Serverless
Drawing from real-world projects, including MVPs and production apps built with AWS, I’ll share a practical decision-making framework for choosing your stack with a focus on architecture and AWS services.
How We Built an Ai-Powered Code Reviewer With Serverless and Bedrock
How hard can it be to build an AI-powered code reviewer using modern LLMs? Easier than you think – until it isn’t! Yan recently helped a client launch an AI-powered code reviewer. They built the initial prototype in the first few hours. But they soon encountered many unexpected challenges as they tried to productionize the idea into a coherent user experience.
In this session, let’s hear the surprises, challenges, and lessons learned from building an AI-powered code reviewer and what it can tell us about the current state of LLM technologies.
In this session, let’s hear the surprises, challenges, and lessons learned from building an AI-powered code reviewer and what it can tell us about the current state of LLM technologies.
Building a Serverless Podcast Workflow: Adventures with AI
I’ll go through a practical example of using AI & Serverless to achieve a business outcome related to the automation of content creation. I’ll talk about a number of serverless tools and how you can use them to create multi-step workflows. I’ll also give actionable tips & tricks on using Amazon Bedrock.
Harness Generative AI Creativity With Automated Reasoning
Large language models excel at generating creative solutions, while automated reasoning tools enable rigorous verification. This session explores methodologies for combining these complementary strengths to create more reliable AI systems.
We’ll introduce automated reasoning using open source tools and demonstrate how formal methods can guide and constrain generative AI. By fusing probabilistic and symbolic approaches, we’ll show how to build hybrid systems that maintain creative capabilities while ensuring verifiable outputs.
We’ll introduce automated reasoning using open source tools and demonstrate how formal methods can guide and constrain generative AI. By fusing probabilistic and symbolic approaches, we’ll show how to build hybrid systems that maintain creative capabilities while ensuring verifiable outputs.
Thank you to our Sponsors
Huge thanks to our sponsors for powering this community – so let’s return the favour – please take a moment to check out their websites, learn what they do, and say hello at our next event.
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