Speaker/Facilitator: Alejandro Mancilla, MongoDB
Welcome back to another exciting ACM Austin event! As we continue to dive deep into Enterprise AI & Engineering, we are thrilled to partner with MongoDB to deliver a highly practical, instructor-led workshop on building AI agents.
AI agents are quickly becoming a baseline for modern AI applications. In this hands-on session, you will learn core concepts such as reasoning, tools, and memory, and explore various agent architectures. By the end of the evening, you will have built a functional, AI-powered technical documentation assistant using MongoDB and LangGraph.
The agent you build will utilize MongoDB as its memory and knowledge store, rely on a supported model (such as Claude, Gemini, or GPT) for its "brain," and use LangGraph to orchestrate the end-to-end workflow.
### Food & Networking
Come hungry! We will kick off the evening with delicious Mexican catering, featuring an end-to-end taco and burrito spread. There will be plenty of excellent vegetarian options available to ensure everyone is fueled up before we dive into the technical content.
### What You Will Learn
Understand foundational AI agent concepts, including orchestration, reasoning, tools, and memory.
Explore common AI agent use cases alongside different agent architecture patterns.
Build your own AI-powered technical documentation assistant using LangGraph and MongoDB.
Learn how to effectively use MongoDB as a vector store, knowledge store, and memory provider for agentic applications.
Understand patterns for more reliable and controllable workflows by adding memory to an AI agent.
### Prerequisites & Requirements
Bring Your Own Laptop: A laptop is required to participate in the hands-on exercises, and the venue will have Wi-Fi available so you can easily follow along.
Environment Access: You must be able to access Instruqt and a browser-based workshop environment.
Experience: Basic familiarity with Python and Jupyter Notebooks