Learn how to build, understand, and apply Agentic AI — autonomous systems that plan, reason, and act across tasks. Step-by-step tutorials, use cases, and best practices for the next generation of AI.
📘 Introduction Artificial intelligence (AI) has rapidly evolved, and one of its most impactful applications lies in natural language processing (NLP). From search engines to conversational assistants, AI models power many of the tools we use daily. However, not all AI models are created for the same purpose. Two important categories—...
📘 Introduction Welcome to this hands-on LangChain + LangGraph tutorial! In this guide, we’ll build an AI agent with tool-calling capabilities using LangChain, LangGraph, and OpenAI models. Instead of just answering questions, our agent will be able to invoke a Python function when needed. We’ll demonstrate this with a simple...
📘 Introduction Welcome to this hands-on LangChain + LangGraph tutorial! In this guide, we’ll walk you step-by-step through creating your first AI agent using LangChain, LangGraph, and OpenAI models — perfect for beginners who want to build intelligent, autonomous assistants with flexible workflows. 💡 What are LangChain and LangGraph? * LangChain is a powerful...
📘 Introduction Welcome to this hands-on tutorial! In this guide, we’ll walk step-by-step through using structured output with the OpenAI Agents SDK — perfect if you want your AI agent responses returned as clean, machine-readable JSON instead of free-form text. 💡 What is Structured Output? Normally, LLM models return natural language text,...
📘 Introduction Welcome to this hands-on tutorial! In this guide, we’ll walk you step-by-step through using structured output with the OpenAI Python SDK — perfect if you want your AI responses returned as clean JSON instead of free-form text. 💡 What is Structured Output? Normally, LLM models return natural language text, which...
📘 Introduction Welcome back to another hands-on OpenAI tutorial! 🚀 In this guide, we’ll show you step-by-step how to add MCP Servers to your AI Agent using the OpenAI Agents SDK. By the end of this tutorial, you’ll know how to extend your agent’s abilities by connecting it to...
📘 Introduction Welcome back to another hands-on OpenAI tutorial! 🚀 In this guide, we’ll show you step-by-step how to add MCP Servers to your LLM using the OpenAI Python SDK. By the end of this tutorial, you’ll know how to extend your model’s abilities by connecting it to external...
📘Introduction Welcome to this hands-on FastMCP tutorial! In this guide, we’ll walk you step by step through deploying and testing your first FastMCP server on FastMCP Cloud. Deploying is a crucial step because it makes your FastMCP server accessible, usable, and ready for real-world applications. ✅ Prerequisites Before you begin,...
📘Introduction Welcome to this hands-on FastMCP tutorial! In this guide, we'll walk you step-by-step through getting started with FastMCP Cloud. You’ll learn how to sign in, create a workspace, and connect your GitHub account to it. ✅ Prerequisites Before you begin, make sure you have the following: 🐍☑️ Installed...