AI Engineering Learning Path

A comprehensive learning resource to help full-stack developers transition to AI engineering. This repository contains detailed guides, code examples, and practical projects covering Large Language Models, mathematics for AI, and major AI frameworks.

📚 Documentation Sources (December 2025)

• Vercel AI SDK: ai-sdk.dev (v6.x)
• Mastra AI: mastra.ai (v1 beta, Jan 2026 release)
• LangChain: docs.langchain.com (Python & TypeScript)
• LangBase: langbase.com (Latest serverless platform)

🗂️ Structure

Guides

Comprehensive guides covering core concepts:

• guides/01-large-language-models.md - Understanding LLMs
• guides/02-mathematics-for-ai.md - Mathematical foundations
• guides/03-vercel-ai-sdk.md - Vercel AI SDK v6
• guides/04-mastra-ai.md - Mastra AI framework
• guides/05-langchain.md - LangChain platform
• guides/06-langraph.md - LangGraph orchestration
• guides/07-langbase.md - LangBase serverless platform

Examples

Practical code examples organized by topic:

• examples/math/ - Mathematical implementations (Python & JavaScript)
• examples/llm-basics/ - LLM fundamentals
• examples/frameworks/ - Framework-specific examples

Projects

Progressive projects building real-world AI applications:

• projects/01-chatbot/ - Multi-framework chatbot
• projects/02-rag-system/ - RAG system with LangChain and LangBase
• projects/03-autonomous-agent/ - Autonomous agent using LangGraph
• projects/04-fine-tuning/ - Fine-tuning guide and example
• projects/05-multi-agent-system/ - Complex multi-agent system

Reference

Quick reference materials:

• reference/glossary.md - AI/ML terminology
• reference/resources.md - External resources
• reference/cheat-sheets/ - Quick reference guides

🚀 Getting Started

1. Start with LEARNING_PATH.md for a structured progression
2. Read the foundational guides (LLMs and Mathematics)
3. Explore framework-specific guides
4. Practice with code examples
5. Build projects to solidify your understanding

📖 Learning Path

See LEARNING_PATH.md for a week-by-week learning schedule and recommended progression.

🎯 Goals

By completing this learning path, you will:

• Understand Large Language Models and their architecture
• Master the mathematics required for AI engineering
• Build applications with Vercel AI SDK, Mastra AI, LangChain, LangGraph, and LangBase
• Fine-tune models for specific use cases
• Create autonomous AI agents and Gen AI projects
• Deploy production-ready AI applications

🤝 Contributing

This is a learning resource. Feel free to suggest improvements or additions!

📝 License

This learning resource is provided for educational purposes.