aieng-platform-onboard 0.1.0

CLI tool for onboarding participants to AI Engineering bootcamps

AI Engineering Platform

Infrastructure and tooling for AI Engineering bootcamps, providing secure, isolated development environments and automated participant onboarding.

Overview

This platform consists of two main components:

1. Coder Deployment - Containerized development environments on GCP
2. Participant Onboarding System - Secure, automated participant onboarding

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1. Coder Deployment for GCP

The coder folder contains all resources needed to deploy a Coder instance on Google Cloud Platform (GCP), along with reusable workspace templates and Docker images for the workspace environment.

Structure

• deploy/ - Terraform scripts and startup automation for provisioning the Coder server on a GCP VM
• docker/ - Dockerfiles and guides for building custom images used by Coder workspace templates
• templates/ - Coder workspace templates for reproducible, containerized development environments on GCP

Usage

1. Provision Coder on GCP - Follow the steps in coder/deploy/README.md
2. Build and Push Docker Images - See coder/docker/README.md
3. Push Workspace Templates - See coder/templates/README.md

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2. Participant Onboarding System

Automated system for securely distributing team-specific API keys to bootcamp participants using Firebase Authentication and Firestore.

Features

Secure Authentication - Firebase custom tokens with per-participant access Team Isolation - Firestore security rules enforce team-level data separation Automated Onboarding - One-command setup for participants API Key Management - Automated generation and distribution of:

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                          Admin Phase                            │
├─────────────────────────────────────────────────────────────────┤
│  1. Setup participants and teams in Firestore                   │
│  2. Generate team-specific API keys                             │
│  3. Setup shared keys                                           │
│  4. Generate Firebase authentication tokens                     │
│  5. Deploy Firestore security rules                             │
└─────────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────────┐
│                       Participant Phase                         │
├─────────────────────────────────────────────────────────────────┤
│  1. Run onboarding script in Coder workspace                    │
│  2. Script authenticates using Firebase custom token            │
│  3. Fetch team-specific API keys (security rules enforced)      │
│  4. Create .env file with all credentials                       │
│  5. Run integration tests to verify keys                        │
└─────────────────────────────────────────────────────────────────┘

Requirements

• Python 3.12+
• uv package manager
• GCP project with Firestore and Secret Manager enabled
• Firebase project with Authentication enabled
• Appropriate GCP permissions (see admin guide)

Installation

# Clone repository
git clone <repository-url>
cd aieng-platform

# Install dependencies
uv sync

# Authenticate with GCP
gcloud auth application-default login

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