NOTE: Hands-On AI Software Training – See Prerequisites
Workshop Title: Harnessing Serverless Technologies for Generative AI Applications
Presenters: Tejas Ghadge, Senior Engineering Manager, Nithin Vommi, Senior Software Engineer, Tarun Rai Madan, Product Manager, AWS Lambda, Rajesh Pandey, Principal Engineer, AWS Lambda
Overview: Join us for an immersive workshop where you’ll learn to build and deploy GenAI applications using AWS. This hands-on session will guide you through leveraging AWS technologies like Lambda, Bedrock, S3 etc. to create a simple 1/ AI-driven image processing and 2/ sensitive data redaction systems.
By the end of the workshop, participants will gain the necessary skills to innovate and build scalable AI applications in AWS cloud.
Part 1: Image Processing
In the first part of the workshop, you’ll dive into the world of serverless computing with AWS Lambda and Bedrock. We’ll walk you through building a Generative AI application that reads images from S3 buckets and intelligently removes unnecessary background objects. You’ll gain insights into the architecture, implementation, and deployment of serverless solutions that can handle image processing tasks efficiently and at scale.
Part 2: Event-Driven Data Redaction
The second part of the workshop focuses on real-time data processing. We’ll demonstrate how to integrate event sources like Amazon Kinesis/Simple Queues with AWS Lambda and Bedrock to create an application capable of redacting Personally Identifiable Information (PII) from streaming data. You’ll learn best practices for setting up event-driven architectures for using Foundation Models from AWS Bedrock.
Key Takeaways:
– Introduction to serverless technologies like AWS Lambda and Bedrock and Event Driven Architecture
– Practical experience in building and deploying AI-driven applications
– Knowledge of integrating event sources with serverless functions for real-time processing
Prior Knowledge/Software
– Laptop with Wifi
– AWS account (to access Lambda and Bedrock)
– Prior basics of Python and Foundation Models is encouraged but not necessary.
Join us to explore the future of serverless Gen AI!
Presenter Bios:
Tejas Ghadge, Senior Engineering Manager at AWS Lambda
Tejas has over 13 years of experience building large scale distributed systems that operate at millions of TPS while providing high availability, scale and utilization. His current leadership role focuses on building event driven architecture that powers services like AWS Lambda and AWS EventBridge.
Nithin Vommi, Senior Software Engineer, AWS Lambda
Over the past 5 years at AWS Lambda, Nithin has worked developing highly available and scalable serverless platforms that power event-driven architectures. With a deep understanding of distributed systems and cloud services, Nithin is currently working on driving innovation at the intersection of GenAI and Serverless computing.
Tarun Rai Madan, Product Manager, AWS Lambda
Tarun focuses on on AWS Lambda’s offerings in the event-driven space. Tarun has 11 years of experience leading engineering and product teams across semiconductors and cloud-computing technologies.
Rajesh Pandey, Principal Engineer, AWS Lambda
Rajesh Pandey is a Principal Engineer at AWS Lambda with over 11 years of experience in large-scale distributed systems and event-driven applications. He specializes in advancing serverless computing, focusing on developing key EDA primitives such as AWS Lambda Event Source Mapping and AWS EventBridge Pipes.