Vadim Omeltchenko

You've proven AI works—now make it production-ready. In this interactive chalk talk, we'll explore the architectural patterns that take Amazon Bedrock applications from POC to production scale.

Transform your AI prototypes into secure, scalable enterprise applications. This hands-on workshop teaches you to deploy enterprise-grade agents using Amazon Bedrock AgentCore Runtime, which seamlessly scales from zero to thousands of concurrent sessions while maintaining complete session isolation.

This builders’ session dives into techniques to simplify the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models for your use case. Learn how to use Amazon Bedrock’s visual builder to author executable flows, enabling rapid prototyping and collaboration.

Machine learning can sound complicated, but Amazon SageMaker Studio Lab makes it easier for anyone to get started at no cost. In this hands-on builders’ session, be guided through the basics of experimenting with large language models (LLMs) in Amazon SageMaker Studio Lab.

The machine learning (ML) journey requires continuous experimentation and rapid prototyping to be successful. In order to create highly accurate models, data scientists have to first experiment with feature engineering, model selection, and optimization techniques.