A comprehensive, hands-on tutorial series for building AI applications using modern frameworks and tools. Learn through interactive Jupyter notebooks with step-by-step explanations and practical examples.

Each tutorial is designed to be practical and immediately applicable:

• Hands-on Examples: Every concept includes working code you can run and modify
• Real-world Applications: Build actual projects, not just toy examples
• Best Practices: Learn industry-standard approaches and common pitfalls to avoid
• Progressive Complexity: Start with basics and advance to sophisticated implementations

All tutorials are interactive Jupyter notebooks with detailed explanations and code examples you can run yourself.

Visit our tutorial platform: https://tutorial.theaibuilders.dev/

• OpenAI API Complete Tutorial – Master OpenAI's APIs including GPT models, Assistants, and advanced features
• Claude API Complete Tutorial – Learn Anthropic's Claude API with practical examples and best practices
• Nosana Tutorial (OpenAI SDK) – Decentralized GPU network with advanced open source models

• LiteLLM Tutorial: Unified API for 100+ LLMs – Use a single interface to work with any LLM provider
• OpenRouter Tutorial – Route OpenAI-compatible calls to many models via OpenRouter

• LangChain Tutorial: From Fundamentals to Advanced RAG – Master LangChain from basic chains to sophisticated RAG systems
• LlamaIndex Tutorial: Building RAG Applications – Learn to build powerful document retrieval systems with LlamaIndex

• HuggingFace Fine-Tuning Tutorial – Step-by-step guide to fine-tuning transformer models with HuggingFace

• Gradio: From Interface to Chatbots – Build modern chat UIs and interactive apps with Gradio

• Traceloop Tutorial: Complete Guide to LLM Monitoring – Monitor and trace your LLM applications with comprehensive observability
• Langfuse Tutorial: LLM Observability – End-to-end observability and analytics for LLM apps

Made with ❤️ by AI Builders Team