Lesson 1: Python & LLM Fundamentals

Advanced Architectures for Vertical AI Agents ~3 min read 60 min hands-on

Neural Foundation Workbench

Integrated production console for foundational generative AI and agent engineering. This project unifies four core engineering domains into a single deployable system with a unified dashboard, REST API, and Docker packaging.

Project directory: [neural-foundation-workbench/](./neural-foundation-workbench/)

What this project covers

This workbench is the capstone integration for the Python & LLM Fundamentals track. It combines concepts and patterns from four standalone reference implementations into one cohesive platform:

Dashboard tabs

Architecture

Code

Stack: Python 3.12 · FastAPI · Pydantic v2 · NumPy · Vite · React 19 · Recharts · Docker (nginx + slim images)

Prerequisites

  • Python 3.12+

  • Node.js 20+ and npm

  • Docker Desktop (optional)

Quick start

bash

Open http://localhost:3200 · API docs at http://localhost:8200/docs

Docker deployment

bash

Environment configuration

bash

API surface

Project layout

Code

Requirements files

Cleanup

bash

License

Part of the Vertical AI Agent curriculum — internal engineering reference.

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