Australian Vocational Education
The Automated RTO Intelligence System: TGA-Synced Content, Rule-Based Course Planning, and Multi-State Compliance Management
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Getting Started

  1. Plan your qualification - Use the Planner to select a qualification, choose a stream, and map units against packaging rules
  2. Configure your Stream - Go to Streams to set up industry context (equipment, materials, WHS risks)
  3. Generate documents - Use the Planner to select units and start document generation
  4. View and download - Monitor progress below and download completed packs as organised ZIPs

Key Features

  • Stream-Based Organisation - Units grouped by industry stream with shared context
  • AQF-Level Context Variants - Cert III and Cert IV have separate context settings with appropriate complexity
  • Automatic Unit Filtering - Only shows units eligible for selected AQF level
  • Multiple Document Types - Learner Guide, Assessment Pack, Glossary, Quick Reference Guide
  • Version Tracking - Regenerated packs are versioned; previous versions archived
  • Course Planner - Build valid course plans with packaging rule validation

Manage Streams Course Planner

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💡 Reference guide for the Course Builder feature. Create custom training materials outside standard TGA units, with AI-powered conversational course design.
🎓 Course Builder FEATURE
🧠 Feature Overview
AI-powered course design and content generation pipeline for custom training materials outside TGA units. Organisations can design course outlines via AI conversation or manual entry, then generate full learner guides through the existing Stage C pipeline.
🔌 API Reference
Method Path Description
GET /api/course-builder/outlines List all outlines for org
POST /api/course-builder/outlines Create new outline
GET /api/course-builder/outlines/{id} Get outline with sections
PUT /api/course-builder/outlines/{id} Update outline metadata
DELETE /api/course-builder/outlines/{id} Delete draft outline
POST /api/course-builder/outlines/{id}/sections Add section
PUT /api/course-builder/sections/{id} Update section
DELETE /api/course-builder/sections/{id} Soft-delete section
POST /api/course-builder/outlines/{id}/reorder Reorder sections
POST /api/course-builder/outlines/{id}/generate Start generation pipeline
POST /api/course-builder/conversations Start AI design conversation
GET /api/course-builder/conversations List conversations
GET /api/course-builder/conversations/{id}/messages Get messages
POST /api/course-builder/conversations/{id}/messages Send message (triggers AI response)
POST /api/course-builder/conversations/{id}/approve Create outline from AI conversation
DELETE /api/course-builder/conversations/{id} Delete conversation
POST /api/course-builder/outlines/{id}/tga-framework Generate TGA framework for outline
GET /api/course-builder/outlines/{id}/tga-framework Get TGA framework data
GET /api/course-builder/outlines/{id}/tga-framework/export Export TGA framework as DOCX
POST /api/course-builder/outlines/{id}/tga-proposal Generate TGA proposal from framework
PATCH /api/course-builder/outlines/{id}/branding Update branding settings
POST /api/course-builder/outlines/{id}/tga-research Trigger TGA-specific research
GET /api/course-builder/outlines/{id}/tga-research Get TGA research results
PATCH /api/course-builder/outlines/{id}/tga-research Update TGA research decisions
⚙️ Pipeline Configuration
Feature Flag
course_builder — must be enabled per organisation via feature flags
Generation Pipeline
Course Builder runs skip Stage A/B. The blueprint is pre-built by the adapter, then goes straight to Stage C content generation.
AI Routing Stages
course_design — conversation AI for outline design
course_design_research — TGA-specific research framework for industry/regulatory context
Cost Tracking
All AI calls use cost_category="setup" and track via the unified AiUsageEvent system.
Adapter
app/services/course_builder_adapter.py converts CourseOutline → UnitBlueprint format for Stage C compatibility.
🗃️ Data Model
Table Description
course_outlines Main outline with metadata, status (draft → ready → generating → completed), AQF level, audience context, quality mode, tga_proposal_enabled, and rpl_pack_enabled flags
course_outline_sections Sections with learning outcomes, key topics, content type (theory/practical/assessment), complexity hint, and word targets
course_design_conversations AI design chat sessions linked to org/user, with context snapshot and status tracking
course_design_messages Individual messages (user/assistant/system) with interactive elements, user selections, and token usage tracking
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RTOFlow Development Roadmap
AI-powered training and compliance platform for Australian RTOs. Tracking progress from concept through to production scale.
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