aieng-platform-onboard 0.3.1

CLI tool for onboarding participants to AI Engineering bootcamps

AI Engineering Platform

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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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