Zero to Hero AI is an open-source, interactive handbook designed to take you from fundamentals to advanced AI systems engineering.
Whether you are a developer looking to transition into Generative AI, a founder building an AI product, or an enthusiast exploring local models, this platform gives you a clear, structured, and practical roadmap.
- Zero Fluff: Focus on real system design, context engineering, and practical implementation.
- Interactive Labs: Learn by doing with browser-based visualizers and simulators.
- Community-Driven: Built in public and maintained by Axomiya IT Labs.
- 100% Free & Open Source: Free for everyone to read, learn from, fork, and share.
┌────────────────────────────────────────────────────────────────────────────────────────┐
│ ZERO TO HERO AI PLATFORM │
├──────────────────────────┬──────────────────────────┬──────────────────────────────────┤
│ 📚 Comprehensive Tracks │ 🧪 Interactive Labs │ ⚡ Python Blueprint Hub │
│ 8 structured pathways │ Visual Vector RAG, │ Production-ready scripts for │
│ from tokens to LLMOps. │ ReAct agent simulators. │ RAG, agents & local inference. │
├──────────────────────────┼──────────────────────────┼──────────────────────────────────┤
│ 📄 Primary Sources │ 🗺️ Career Roadmap │ 🛠️ Curated Tool Matrix │
│ Cited research papers │ Clear career paths │ Top open-source frameworks, │
│ and official specs. │ and skill progression. │ vector DBs & eval libraries. │
└──────────────────────────┴──────────────────────────┴──────────────────────────────────┘
- Structured Learning Tracks: Step-by-step curriculum covering tokens, prompt architecture, RAG, autonomous agents, multi-agent swarms, fine-tuning, and production operations.
- Interactive Simulators: Hands-on visual playgrounds to explore how vector embeddings match, how agents reason step-by-step, and how structured schemas work.
- Runnable Python Blueprints: Clean, copy-and-run Python code for building RAG pipelines, tool calling, and local model streaming.
- Primary Research Bibliography: Direct links and summaries of foundational research papers (arXiv) and official standards.
- Career & Project Blueprints: Architectural guides and portfolio ideas for AI engineers and technical founders.
The curriculum is organized into 8 comprehensive pathways:
| Track | Topic | What You'll Learn |
|---|---|---|
| Track 0 | Foundations & Tokens | How language models think, tokenomics, context windows, and multi-model APIs. |
| Track 1 | Prompt Architecture | System prompt design, XML tags, structured JSON outputs, and guardrails. |
| Track 2 | RAG & Vector Systems | Dense vector search, hybrid retrieval, re-ranking, and retrieval evaluation. |
| Track 3 | Autonomous Agents | Tool calling, the ReAct loop, and the open Model Context Protocol (MCP). |
| Track 4 | Multi-Agent Swarms | Coordinating agent teams, state management, and long-term memory. |
| Track 5 | Fine-Tuning & Local LLMs | When to fine-tune, LoRA/QLoRA methods, and running private models locally. |
| Track 6 | Production LLMOps | Tracing, automated evaluation, semantic caching, and security guardrails. |
| Track 7 | Capstone Blueprints | Real-world architecture templates and production project designs. |
- Software Engineers: Transition into modern AI engineering with practical system architectures.
- Technical Founders: Understand the AI stack to build, scale, and monetize AI-powered products.
- Students & Self-Learners: Get an organized, zero-cost curriculum grounded in authentic research.
- Open-Source Builders: Contribute lessons, submit tools, or translate materials for the global community.
Zero to Hero AI is built for and with the community. We welcome contributions of all kinds:
- Adding new lessons or updating existing tracks
- Adding runnable Python blueprints
- Recommending open-source AI tools
- Translating content to other languages
👉 Read the full developer setup and contribution guide in CONTRIBUTING.md.
Explore more opportunities and open-source grants at Axomiya IT Labs AI Opportunities.
Zero to Hero AI is maintained by Axomiya IT Labs. Connect with us:
- Main Repository: github.com/Axomiya-IT-Labs/zerotoheroAI
- AI Opportunities: github.com/Axomiya-IT-Labs/aiopportunities
- Official Website: axomiyaitlabs.vercel.app
- GitHub: github.com/Axomiya-IT-Labs
- X (Twitter): x.com/AxomiyaITLabs
- Facebook: facebook.com/AxomiyaITLabs
- YouTube: youtube.com/@AxomiyaITLabs
- Instagram: instagram.com/axomiyaitlabs
- Email: axomiyaitlabs@gmail.com
Distributed under the MIT License. See LICENSE for details. Free for personal, educational, and commercial use.