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.

What You'll Learn

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.

Access the Tutorials

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

Tutorials Overview

Model Providers

• OpenAI Responses API: Complete Tutorial — Master OpenAI's APIs including GPT models, Assistants, and advanced features

• Anthropic Claude API Tutorial — Learn Anthropic's Claude API with practical examples and best practices

• Nosana AI Inference with OpenAI SDK — Decentralized GPU network with advanced open source models

Gateways

• LiteLLM Tutorial: Unified API for 100+ LLMs — Use a single interface to work with any LLM provider

• OpenRouter: Quick Start Tutorial — Route OpenAI-compatible calls to many models via OpenRouter

Frameworks

• CrewAI Tutorial: Building Multi-Agent AI Systems — Build multi-agent systems with CrewAI for collaborative AI workflows

• 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

Fine Tuning

• Hugging Face: From Zero to Fine-tuning — Step-by-step guide to fine-tuning transformer models with HuggingFace

Chat UI Framework

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

Observability

• Traceloop Tutorial: Complete Guide to LLM Observability — Monitor and trace your LLM applications with comprehensive observability

• Langfuse Tutorial: LLM Observability & Evaluation — End-to-end observability and analytics for LLM apps

---

Made with ❤️ by AI Builders Team