AI Developer Bootcamp: Chatbots, RAG, and Agents in a Day

Schedule

Fri Jan 30 2026 at 08:00 am to 05:00 pm

UTC-05:00

Location

118 E Main St | Louisville, KY

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A one-day, hands-on AI bootcamp where you’ll build your own chatbot, create intelligent agents, and bring real AI solutions to life.
About this Event

The AI Developer Bootcamp: Chatbots, RAG, and Agents in a Day is an immersive, full-day training designed to take developers from foundational understanding to hands-on implementation of cutting-edge AI capabilities.

Led by Slingshot’s AI engineering team, this bootcamp combines expert-led instruction, live demos, and guided build sessions. You’ll learn to work directly with large language models (LLMs), build your own chatbot, and create intelligent agents capable of reasoning and performing multi-step tasks.

By the end of the day, you’ll have:

  • A functional AI chatbot built from scratch.
  • A Retrieval-Augmented Generation (RAG) system for chatting with your own data.
  • An AI agent capable of taking actions through tool execution.
  • A working multi-agent research system built and deployed during the session.

Whether you’re a developer exploring LLMs for the first time or an engineer ready to build intelligent systems, this bootcamp gives you the practical skills to go from concept to creation.



Agenda

🕑: 08:00 AM - 08:30 AM
Kickoff & Setup

Info: Welcome, introductions, and environment setup. Overview of tools, repos, and goals for the day.


🕑: 08:30 AM - 09:30 AM
Intro to Large Language Models

Info: Understand how LLMs work, manage context windows, and structure prompts effectively.


🕑: 09:30 AM - 11:00 AM
Building a Chatbot

Info: Hands-on build: connect to an LLM, manage chat history, and deploy a functional chatbot.


🕑: 11:00 AM - 12:00 PM
Retrieval-Augmented Generation (RAG)

Info: Extend your chatbot to handle document-based responses by adding retrieval.


🕑: 12:00 PM - 01:00 PM
Lunch & Networking
🕑: 01:00 PM - 02:00 PM
Creating an AI Agent

Info: Learn how agents perform reasoning and execute tasks—then build one yourself.


🕑: 02:00 PM - 03:00 PM
Building with MCP

Info: Create a Model Context Protocol (MCP) server and connect it to your agent for tool use.


🕑: 03:00 PM - 04:30 PM
Multi-Agent Deep Research System

Info: Develop and demonstrate a system of collaborating agents for research or synthesis tasks.


🕑: 04:30 PM - 05:00 PM
Wrap-Up & Next Steps

Info: Reflection, project sharing, and resources for continued AI development.


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Where is it happening?

118 E Main St, 118 East Main Street, Louisville, United States

Event Location & Nearby Stays:

Tickets

USD 535.38

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