Loading The VR School
Loading The VR School
Master LittleHorse workflow orchestration and build production-ready School as Code implementations. The definitive training program for anyone implementing Business as Code for educational institutions.
24 Weeks
57
8
Yes
Powered by LittleHorse workflow engine
Grades
9, 10, 11, 12
Delivery
Remote / Hybrid
Prerequisites
None
WASC Accredited
Yes
By completion, you'll be qualified to lead School as Code implementations for any institution licensing VR School software.
Deploy and operate LittleHorse servers in local and production environments
Design WfSpecs that model complex school business processes
Build idempotent Task Workers in Python, Java, or TypeScript
Implement human-in-the-loop workflows with User Tasks
Handle failures with retry policies, exception handlers, and saga patterns
Architect multi-tenant School as Code deployments for districts
Monitor and scale LittleHorse clusters with Kubernetes
Deliver a production-ready School as Code implementation
LittleHorse
Workflow orchestration engine
Python / Java / TypeScript
Task Worker languages
Docker & Kubernetes
Container orchestration
gRPC & Protobuf
Communication protocol
Keycloak
Identity and access management
Apache Kafka
Event streaming backbone
PostgreSQL
Persistent state store
Next.js
Dashboard and portal framework
Each module builds on the previous. Labs use a real LittleHorse server. Challenges are graded by mentors and form your professional portfolio.
Every lab runs against a real LittleHorse server. You write real Task Workers, define real WfSpecs, and watch real WfRuns execute.
Start a LittleHorse server with Docker, connect with lhctl, and explore the Dashboard at localhost:8080.
docker run --name lh-standalone \ --rm -d -p 2023:2023 \ -p 8080:8080 -p 9092:9092 \ ghcr.io/littlehorse-enterprises/\ littlehorse/lh-standalone:latest
Build a Python Task Worker that processes student enrollment applications with validation and notification steps.
from littlehorse.config import LHConfig
from littlehorse.worker import LHTaskWorker
def process_enrollment(name, email):
# Validate student data
# Check eligibility
# Create wallet
return {"status": "approved"}
worker = LHTaskWorker(
task_function=process_enrollment,
task_def_name="process-enrollment"
)Define a complete enrollment workflow with conditional routing, external events, and human approval steps.
def enrollment_workflow(wf):
name = wf.declare_str("student-name")
email = wf.declare_str("email")
# Step 1: Process application
result = wf.execute("process-enrollment",
name, email)
# Step 2: Conditional routing
wf.do_if(
wf.condition(result, "==", "approved"),
lambda t: t.execute("send-welcome"),
lambda t: t.execute("send-rejection")
)These are production workflows running The VR School. As an intern, you'll build, deploy, and maintain them.
Enrollment
Student Onboarding → Dashboard
Finance
EduCoin Payment Rails & Reconciliation
Credentials
Credential Review → Verification
Partnerships
District AB 2927 Rollout
Support
SofAI Support → Human Escalation
Academics
Course Launch → UC A-G Readiness
Compliance
KYC/AML Case Management
Student Success
Teacher Intervention → Family Loop
Operations
Platform Observability → Incident Response
This isn't a course where you watch videos and take quizzes. You're an intern working on production systems. Schools that license VR School software will use the workflows you build.
Foundation
Learn LittleHorse, build workers, define workflows
Integration
Connect to real systems, handle failures, scale
Production
Build School as Code workflows for VR School
Capstone
Deliver a complete School as Code implementation
No commitment until admissions confirms your placement.
Join the next cohort of School as Code interns. You'll work with real infrastructure, ship production code, and earn a professional certification.