Gen AI Day focuses on introducing and deep-diving into the fundamentals of Generative AI, including basics, prompt engineering, retrieval-augmented generation (RAG), and agent-based models. This day is designed for a diverse audience, from beginners to experienced developers, providing a comprehensive overview of Generative AI and its practical applications.

Agenda

Registration and Welcome

✅ 9:00 AM - 9:30 AM: Doors open, enjoy a continental breakfast and get settled for an exciting day of learning!

Sessions (Morning)

✅ 9:45 AM - 10:30 AM [S1] : Opening Keynote: Introduction to Generative AI
Speaker: Mike Chambers, Senior Developer Advocate, AWS
We will kick off the event with a comprehensive introduction to generative AI, its applications, and its impact across industries for developers. Attendees will gain insights into the latest trends and how companies are leveraging these advancements to drive innovation leveraging generative AI with AWS.

✅ 10:45 AM - 11:30 AM [S2]: Technical Session: Inside the Engine of a Large Language Model with AI21
Speaker: Sebastian Leks, Member of the Technical Team
Uncover the intricate workings of a large language model with AI21, diving deep into its architecture, training processes, and optimization techniques. This session provides a practical overview of how these models drive real-world AI applications.


✅ 11:45 AM - 12:30 PM [S3]: Technical Session: Exploring Multimodal RAG: Advanced Search Across Images, Video, and Text
Speaker: Anila Joshi, Applied Science Manager, AWS and Meghana Ashok, ML Engineer, AWS
Discover how retrieval-augmented generation (RAG) can be applied across multiple modalities such as images, video, and text to perform advanced search tasks. Learn about cutting-edge techniques and the tools used to integrate these modalities in real-world AI applications.

12:30 PM - 1:45 PM: Lunch Break

Sessions (Afternoon)

✅ 2:00 PM - 2:45 PM [S4]: Technical Session: Building reliable agents with LangGraph
Speaker : Lance Martin, Software Engineer, LangChain
LangGraph is an open source library for building reliable agents. This talk will cover the motivations for LangGraph, the core pillars of the library (memory, streaming, human-in-the-loop, controllability), popular use-cases, and showcase the LangGraph Studio IDE to visually testing / debugging agents.

✅ 3:00 PM - 3:45 PM [S5]: Technical Session - Innovating with Multimodality and Reasoning with Mistral AI
Speaker : Avinash Sooriyarachchi, Senior Applied AI Engineer, Mistral AI
In this talk, we will dive into how Mistral AI is creating models with advanced multimodal and reasoning abilities. We will showcase Pixtral as an exemplary model of our multimodal capabilities and demonstrate our advanced reasoning and function-calling features, which are essential for agentic work. Through a live demonstration, we will illustrate how the combination of multimodality and advanced reasoning can transform how people work.

✅ 4:00 PM - 4:45 PM [S6]: Technical Session: Deep Dive into Claude 3.5: Unlocking AI Potential on AWS
Speaker: Maggie Vo, Head of Technical Education and Enablement, Anthropic
Join us for an in-depth technical session exploring the capabilities of Claude 3.5, the latest advancement in AI from Anthropic and how to use it on AWS using Amazon Bedrock. This session will cover Claude 3.5’s advanced reasoning capabilities, prompt engineering techniques, and empirical evaluations. We’ll also delve into best practices for prompt engineering, and how to optimize agents to advance Retrieval-Augmented Generation (RAG) within your AWS environment. Whether you're an AI practitioner or an enterprise architect, this session will equip you with the knowledge to harness Claude 3.5’s full potential for enhanced AI workflows on AWS.

Workshop (Morning and Afternoon)

✅ 10:30 AM - 12:30 PM [W1] : Building Agentic workflows on AWS
Speaker: Banjo Obayomi, Senior Developer Advocate, AWS
This workshop is designed for builders ready to create Agentic Workflows on AWS, enabling large language models (LLMs) to act autonomously. Learn how to architect workflows where LLMs can perform tasks, provide assistance, and make decisions on behalf of users. By leveraging AWS services like Bedrock and SageMaker, participants will gain hands-on experience in building AI-powered systems that automate complex processes and enhance operational efficiency.

✅ 1:45 PM - 4:00 PM [W2] : Building application with Amazon Bedrock
Speaker: Elizabeth Fuentes, Developer Advocate, AWS
The goal of this workshop is to give you hands-on experience in leveraging foundation models (FMs) through Amazon Bedrock. Amazon Bedrock is a fully managed service that provides access to FMs from third-party providers and Amazon; available via an API.

Note: Workshops have limited space. First come first served.

Networking Mixer

✅ 5:00 PM - 7:30 PM - Join us for drinks, refreshments, and networking with attendees.