Home » AWS Databases – From Zero to Hero

AWS Databases – From Zero to Hero

Main Speaker

Michael Zilberstein

Guest Speaker

מרצה אורח

Pini Dibask

Mo (Moshe) Kamioner

Eran Balan

Baruch Assif (Osoveskiy)

Dmitry Romanoff

Reut Almog Talmi

Learning Tracks

Engineering & Data Systems, Platform & Architecture

Course ID

42937

Date

22-06-2026

Time

Daily seminar
9:00-16:30

Location

Daniel Hotel, 60 Ramat Yam st. Herzliya

Overview

Join us for a full day seminar designed to take you from database fundamentals to advanced AWS database services features and best practices. This seminar will guide you through the AWS database ecosystem, covering key services including relational databases such as Amazon Aurora which is the fastest growing service in the history of AWS and our most popular NoSQL offerings such as DynamoDB (Key Value), Neptune, and more. You’ll learn best practices for database selection, architecture design, performance optimization, and cost management. Through practical examples and real-world use cases, you’ll gain the skills needed to confidently design, deploy, and manage scalable database solutions on AWS. We’ll also explore cutting-edge topics such as vector databases for AI/ML applications and the Model Context Protocol (MCP) for enhanced AI integration.

Who Should Attend

This seminar is ideal for developers, software engineers, and IT professionals looking to expand their cloud database expertise. Whether you’re just starting your AWS journey or seeking to deepen your understanding of AWS database services, including emerging AI-powered database technologies, this workshop will provide valuable insights. DevOps engineers, solution architects, and technical leads responsible for application infrastructure will also benefit from learning how to leverage traditional and vector databases effectively in their projects.

Prerequisites

Course Contents

Time	Title	Abstract	Speakers
Session 1	Introduction to AWS Databases & Database Selection Strategy	Overview of the AWS database portfolio and guidance on choosing the right database service based on your application requirements, workload patterns, and performance needs.	Michael Zilberstein
Session 2	Amazon RDS & Aurora: Relational Databases in the Cloud.	Deep dive into managed relational database services, exploring Amazon RDS engines and Aurora’s unique architecture for high performance and availability. You will also discover Aurora DSQL, AWS’s newest serverless distributed SQL database that combines the familiarity of SQL with virtually unlimited scale and active-active architecture across multiple regions.	Pini Dibask & Dmitry Romanoff
Session 3	Amazon DynamoDB: Mastering NoSQL at Scale	Learn how to build highly scalable applications using DynamoDB’s key-value and document database capabilities, including best practices for data modeling and partition design.	Mo Kamioner
Session 4	Amazon Elasitcache for Valkey – the developer’s best friend for optimizing cost & performance	In this session we’ll understand which use-cases can benefit from an In-Memory DB such as Amazon ElastiCache for valkey. We’ll discuss the latest innovations in this area and share some best practices.	Eran Balan
Session 5	Advanced Database Features: Performance & Cost Optimization	Explore strategies for optimizing database performance, implementing cost reduction best practices, and leveraging AWS tools for monitoring and troubleshooting.	Pini Dibask & Dmitry Romanoff
Session 6	Leveraging Vector and Graph Databases to Enhance LLM Reasoning	Explore how combining vector databases with graph databases creates powerful RAG and GraphRAG systems that improve large language model reasoning through semantic similarity search and structured knowledge relationships, enabling more accurate and contextually aware AI responses.	Baruch Assif ( Osoveskiy )
Session 7	The Role of Databases in Agentic Applications: Memory, RAG/MCP and Tool Coordination	Learn how modern databases power agentic AI applications through three critical capabilities: maintaining conversational and episodic memory, supporting retrieval-augmented generation pipelines, and coordinating complex tool interactions for autonomous agent workflows.	Baruch Assif & Reut Almog Talmi
Closing Q&A Session	Ask us anything	Open forum to ask questions, discuss challenges, and get expert advice on AWS databases and your specific use cases.	All