AI Infrastructure Content Generator

A system-agnostic framework for generating comprehensive technical curriculum content using AI assistance.

---

⚠️ AI-Generated Content Disclaimer

Important Notice: This repository contains tools and frameworks for generating AI-assisted educational content. The generated content is designed to undergo human review and verification. While we strive for accuracy, generated content may contain errors, inaccuracies, or outdated information.

Status: 🔄 Active development

Please use this framework responsibly:

• Review all generated content before publication
• Validate code examples and technical accuracy
• Cross-reference with official documentation
• Test in safe environments

We appreciate your understanding as we develop tools for responsible AI-assisted content creation.

---

Overview

This repository provides a clean, system-agnostic framework for generating comprehensive technical educational content. It extracts successful patterns and methodologies from the AI Infrastructure Curriculum project and packages them as reusable tools.

Purpose

The goal is to create high-quality, production-ready curriculum materials including:

• Comprehensive lecture notes (12,000+ words)
• Hands-on exercises and projects
• Real-world case studies
• Code examples and implementations
• Assessment materials

Key Features

• System Agnostic: Works with any LLM or AI system
• Template Driven: Reusable templates for consistent content
• Quality Focused: Built-in quality checks and validation
• Scalable: Generate content for multiple modules in parallel
• Documented: Clear processes and best practices
• Checkpoint System: Save and resume work across sessions with automated progress tracking
• Research Toolkit: Standardized prompts and workbooks for market research and skills mapping
• Multi-Role Ready: Dedicated workflow and dashboards to coordinate curricula across roles
• Configurable Solutions Delivery: Plan inline or standalone solution repositories with automated templates

Repository Structure

ai-infra-content-generator/
├── README.md                    # This file
├── docs/                        # Documentation
│   ├── getting-started.md      # Quick start guide (8,300 words)
│   ├── architecture.md         # System design, 8-phase workflow (12,500 words)
│   ├── best-practices.md       # Content generation best practices (15,400 words)
│   ├── tools-and-automation.md # 30 MCP servers, 6 skills, automation (20,500 words)
│   ├── agent-playbook.md       # 8-phase agent orchestration (10,800 words)
│   └── ai-infrastructure-curriculum-guide.md # End-to-end curriculum production playbook
├── templates/                   # Content templates
│   ├── research/               # Role briefs, job analysis, interviews, skills matrix
│   ├── curriculum/             # Master plan, module roadmaps, project plans, multi-role dashboard
│   ├── solutions/              # Solution packages for exercises/projects/assessments
│   ├── lecture-notes/          # Lecture note templates
│   ├── exercises/              # Exercise templates
│   ├── projects/               # Project templates
│   └── assessments/            # Quiz and test templates
├── prompts/                     # AI prompts and instructions
│   ├── research/               # Prompts for role and skills research
│   ├── lecture-generation/     # Prompts for lecture content
│   ├── code-generation/        # Prompts for code examples
│   ├── solutions/              # Prompts for solution artifacts
│   └── case-studies/           # Prompts for real-world examples
├── validation/                  # Quality validation tools
│   ├── content-checkers/       # Content quality checks
│   ├── code-validators/        # Code validation
│   └── completeness/           # Completeness checks
├── workflows/                   # Generation workflows
│   ├── module-generation.md    # How to generate a module
│   ├── project-generation.md   # How to generate projects
│   ├── curriculum-design.md    # Curriculum design process
│   └── multi-role-program.md   # Coordinating research & curriculum across roles
├── memory/                      # Checkpoint system for saving/resuming work
│   ├── README.md               # Checkpoint documentation
│   ├── checkpoint-save.py      # Save progress tool
│   ├── checkpoint-resume.py    # Resume work tool
│   └── checkpoints/            # Saved checkpoints (local only)
└── examples/                    # Example outputs
    ├── sample-module/          # Complete module example
    └── sample-project/         # Complete project example

Quick Start

1. Clone the repository

   git clone https://github.com/ai-infra-curriculum/ai-infra-content-generator.git
   cd ai-infra-content-generator

2. Review the documentation

   cat docs/getting-started.md

3. Explore templates

   ls templates/

4. Generate your first module Follow the workflow in workflows/module-generation.md

5. Plan the complete program Walk through the end-to-end playbook in docs/ai-infrastructure-curriculum-guide.md

Research & Curriculum Planning Starter

• Copy research templates for each target role: cp templates/research/* research/<role-slug>/
• Use prompts/research/role-research-prompt.md to draft role briefs, then validate with job postings and interviews
• Build curriculum plans with templates/curriculum/master-plan-template.yaml and templates/curriculum/module-roadmap-template.md
• Coordinate overlapping roles through workflows/multi-role-program.md and the templates/curriculum/multi-role-alignment-template.md dashboard
• Configure repository and solutions strategy via templates/curriculum/repository-strategy-template.yaml and align module roadmaps accordingly

Solutions & Repository Configuration

• Decide whether solutions ship with the main curriculum (solutions.placement: inline) or in dedicated repositories (solutions.placement: separate).
• Choose a single shared repository or one per role using repositories.mode.
• Generate solution artifacts with templates/solutions/* and prompts/solutions/solution-generation-prompt.md.
• Use workflows/module-generation.md and workflows/project-generation.md to publish solutions without duplicating content across roles.

What Makes This Different?

Based on successful generation of 36,000+ words of technical content and expanded with multi-role program support:

• ✅ Proven Patterns: Extracted from successful MLOps curriculum generation
• ✅ Quality Standards: 12,000+ word modules with comprehensive coverage
• ✅ Real-World Focus: Includes case studies and production examples
• ✅ Validation Built-In: Quality checks and completeness verification
• ✅ Scalable Process: Generate single modules or entire multi-role programs
• ✅ Research Framework: Standardized templates for market research and skills analysis
• ✅ Multi-Role Ready: Coordinate curriculum across multiple job roles efficiently

Framework Stats:

• 📄 ≈200 files (templates, workflows, prompts, tools)
• 📝 50,000+ words of documentation and guidance
• 🎯 15,000+ words of core documentation
• 🛠️ 2 automated validation scripts
• 🔧 30 documented MCP servers
• 👥 Multi-role program orchestration support

Use Cases

• Creating technical training curricula
• Generating comprehensive documentation
• Building educational content repositories
• Developing certification programs
• Creating learning paths for engineering roles

Philosophy

1. AI-Assisted, Human-Reviewed: AI generates comprehensive drafts, humans verify accuracy
2. Quality Over Speed: 12,000+ word modules ensure depth and completeness
3. Production-Ready: All examples are tested and production-grade
4. Transparency: Clear disclaimers about AI-generation and verification status
5. Continuous Improvement: Learn from each generation cycle

Community

We're building a community around AI-assisted educational content creation:

• Code of Conduct - Community standards and guidelines
• Contributing Guide - How to contribute to this project
• Support - Get help, troubleshooting, and resources
• Security Policy - Report vulnerabilities and security concerns
• Changelog - Version history and release notes

Contributing

We welcome contributions! See CONTRIBUTING.md for detailed guidelines on:

• Improving documentation
• Creating templates and prompts
• Building validation tools
• Sharing workflows and examples

Please review our Code of Conduct before participating.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Additional Notice: Content generated using this framework should be reviewed by qualified subject matter experts before publication. The framework authors are not responsible for the accuracy or appropriateness of generated content. See LICENSE for full terms.

Credits

Developed as part of the AI Infrastructure Curriculum project.

Contact

• GitHub: https://github.com/ai-infra-curriculum
• Issues: https://github.com/ai-infra-curriculum/ai-infra-content-generator/issues

---

Status: 🚧 Under active development

Version: 0.2.0 (Multi-role program support added)