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Our Latest Videos

Watch. Learn. Discover.

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.

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Diana Ionita

Serverless Consultant
Event Date: 08/10/2025

Learning Area

AI & Machine LearningServerless

Services & Technologies

API GatewayDynamoDBLambda

Content Type

Case Study

Audience Level

Intermediate

My AI Coding Partner: Building the London Improv Calendar on AWS

What happens when you treat AI like a coding partner? In this talk, I’ll share how I used AI tools to build the London Improv Calendar – a fully serverless application on AWS (Lambda, DynamoDB, API Gateway, and more).

This isn’t theory; it’s a practical, in-the-trenches account of working with AI as a solo engineer. We’ll cover what worked well, what fell flat, and where AI truly accelerated development.

If you’re curious about pairing AI with serverless, or just want some real-world lessons you can apply to your own projects, this session is for you.

Watch Here


Danilo Poccia

Chief Evangelist (EMEA)AWS

Learning Area

AI & Machine LearningCloud Architecture

Services & Technologies

AgentCoreBedrockStrands Agents

Content Type

Architecture Overview

Audience Level

Intermediate

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.

Watch Here


Marina Kim

Technical LeadVidatec Ltd
Event Date: 27/08/2025

Learning Area

Serverless

Services & Technologies

Lambda

Content Type

Architecture Overview

Audience Level

Foundational

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.

Watch Here


Yan Cui

AWS Serverless Hero, aka The Burning Monk
Event Date: 27/08/2025

Learning Area

AI & Machine LearningServerless

Services & Technologies

BedrockLambdaLLMs

Content Type

Case Study

Audience Level

Intermediate

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.

Watch Here


Jon Goodall

Lead Cloud EngineerLogicata
Event Date: 04/06/2025

Learning Area

AI & Machine LearningServerless

Services & Technologies

BedrockLambda

Content Type

Case Study

Audience Level

Intermediate

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.

Watch Here


If you have a story you would like to share with our community, check out our Call for Papers.

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