ACM Austin Special Workshop: The A to Z of Building AI Agents with MongoDB
Details
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
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Understand foundational AI agent concepts, including orchestration, reasoning, tools, and memory.
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Explore common AI agent use cases alongside different agent architecture patterns.
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Build your own AI-powered technical documentation assistant using LangGraph and MongoDB.
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Learn how to effectively use MongoDB as a vector store, knowledge store, and memory provider for agentic applications.
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Understand patterns for more reliable and controllable workflows by adding memory to an AI agent.
### Prerequisites & Requirements
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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.
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Environment Access: You must be able to access Instruqt and a browser-based workshop environment.
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Experience: Basic familiarity with Python and Jupyter Notebooks is highly recommended, though not strictly required.
### Event Agenda (2.5 Hours)
Please note the adjusted timing for this session to allow plenty of time for food, networking, and a comprehensive wrap-up:
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6:00 PM – 6:30 PM | Food & Networking: Grab some food, settle in, and connect with fellow attendees before the session begins.
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6:30 PM – 6:40 PM | Welcome and Setup: Introductions, workshop goals, participant setup, and access checks.
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6:40 PM – 7:05 PM | Agent Foundations: A dive into agent use cases, architecture patterns, reasoning, tools, and memory.
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7:05 PM – 8:00 PM | Guided Hands-On Build: Building the technical documentation assistant using LangGraph, Jupyter Notebooks, a supported LLM, and MongoDB. (Note: Time slightly adjusted to fit the 90-minute workshop block).
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8:00 PM – 8:30 PM | Wrap Up (Recap, Skill Badge, & Q&A): A review of key concepts, next steps, and an extended Q&A session.
### Earn Your Skill Badge
Attendees will be invited to test their learning at the end of the session to complete the AI Agents with MongoDB Skill Badge. This provides a shareable credential that you can showcase on LinkedIn and other professional platforms. Furthermore, workshop resources will remain available for self-paced learning after the event, allowing you to revisit or finish any incomplete exercises.
Additional setup instructions and final venue details will be shared with registered attendees closer to the event date.