New this years edition of Frontmania is The AI Agent Bootcamp: LLM Development with TypeScript by Nir Kaufman. The AI Agent Bootcamp is a hands-on, two-day workshop tailored for developers and engineers eager to build intelligent agents powered by Large Language Models (LLMs) using TypeScript. The bootcamp covers foundational topics such as decision-making pipelines, memory management, and prompt engineering, advancing to techniques like Retrieval-Augmented Generation (RAG) and deploying production-ready AI systems. Designed for AI developers, machine learning experts, and full-stack engineers, this bootcamp equips participants with practical skills to integrate scalable AI solutions into real-world applications using TypeScript.

Content & Process
Day 1 (Monday October 6 | 09:00 – 17:00): Fundamentals of Building AI Agents

• Introduction to Large Language Models (LLMs) and their applications.
• Exploring decision-making pipelines and context management for AI agents.
• Setting up your development environment: TypeScript, Node.js, and key libraries.
• Hands-on: Crafting prompts, debugging, and troubleshooting AI systems.
• Enhancing agents with memory and state management capabilities.
• Incorporating external data sources for richer, context-aware responses.

Day 2 (Tuesday October 7 09:00 – 17:00) : Advanced Topics in AI Systems

• Optimizing LLM performance using evaluations (Evals).
• Understanding and applying Retrieval-Augmented Generation (RAG).
• Techniques for structured outputs to meet complex system requirements.
• Advanced memory management for long-term context retention.
• Exploring human-in-the-loop strategies for refining AI outputs.
• Deploying production-ready AI systems and integrating them with applications.

Final Q&A session and actionable resources for continued learning.

Audience & Requirements

• Proficiency in TypeScript and JavaScript
  • A foundational understanding of TypeScript and JavaScript is essential for hands-on exercises and building AI systems.
• Prepared Development Environment
  • Bring a laptop with Node.js installed, a modern code editor (such as VS Code or WebStorm), and a fully functional TypeScript setup configured prior to the workshop.
• Curiosity and Enthusiasm for AI
  • A genuine interest in learning about LLMs, engaging with hands-on exercises, and exploring cutting-edge AI technologies.
  • JS development environment installed: Git, Latest NodeJS and NPM, Code editor, wifi access with no restrictions

Bring your laptop

Practical Information

Here is some practical information about the location.

By train
The hotel is just a 3-minute walk from Utrecht Central Station (use the Jaarbeurs/Beatrix exit, the hotel will be on your right-hand side). From Schiphol Airport, a direct train to Utrecht Central departs every 15 minutes. The journey takes about 30 minutes and the ticket costs € 8.70.

Parking
The hotel does not have its own parking facilities. We recommend the following city car parks:

• Parking garage Croeselaan
  Address: Croeselaan 14P, 3521 CA Utrecht
  Maximum daily rate: € 49.71
  Walking distance: approx. 3 minutes

Parking garage Kop van Lombok
Address: Vleutenseweg 44, 3532 HL Utrecht
Maximum daily rate: € 35.02
Walking distance: approx. 5 minutes

Hotel details
NH Hotel Utrecht
Jaarbeursplein 24
3521 AR Utrecht, The Netherlands
Reception: +31 (0)30 297 7977