Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to production-ready applications. Covers key concepts, real-world examples, and best practices. Ideal for beginners and experts alike. Elevate your AI development skills!

LangChain Tutorial 2 实现 AI 女友 Demo

🚀 Complete Generative AI Course 2026 | 45+ Videos | Python, LangChain, AWS Bedrock, OpenAI | 1-to-1 Support | Hindi Tutorial

Whether you're a beginner exploring LangChain or an advanced practitioner building scalable GenAI applications, this tutorial-style project provides modular examples and hands-on guidance to help you master Generative AI development.

A beginner-friendly, project-driven tutorial on generative AI and LangChain agents. You'll learn core concepts like prompt engineering, vector embedding, chain orchestration, and building retrieval-augmented chat agents—all via clear, hands-on examples.

AI apps development in LangChain & LangGraph - tutorial notebooks

A collection of advanced LangChain modules and utilities in Python, enhancing LLM applications with custom tools, memory management, and RAG integrations. Includes code examples and tutorials for building sophisticated AI-driven workflows and applications.

This project provides practical, executable code examples for developers learning to build AI applications with LangChain v1.0. Each tutorial is self-contained in its own folder with a single Python file, complete with detailed comments and explanations.

This repository will contain all the exercises, tutorials and python jupyter notebooks for all the DeepLearning.AI courses on Generative AI, ChatGPT, LangChain, LLMs and more

Tutorial showing how to do RAG evals with Parea AI and LangChain

This series focuses on exploring LangChain and generative AI, providing practical guides and tutorials for building advanced AI applications. Each part covers key concepts, tools, and techniques to help you leverage LangChain for creating powerful, data-driven solutions. Ideal for developers looking to dive into AI and NLP development.

Following Alejandro AO - Software & Ai tutorial to build a multi-pdf langchain LLM chatbot

tutorial folder via https://learn.deeplearning.ai/langchain

AI-Mastery-Journey: A Comprehensive Journey into AI, covering LLM, RAG, ANN, LSTM, RNN, Python, LangChain, and Hugging Face. Daily tutorials and hands-on projects to master the world of Artificial Intelligence.

AI Weather Intelligence: Progressive tutorial for building production AI systems using LangChain, Claude, and MCP. Learn through 7 stages: from basic chatbots to distributed architectures. Features real-world weather/agricultural analysis using the Open-Meteo API

A hands-on learning journey into Generative AI with LangChain, inspired by the CampusX tutorial series. This repository contains Python scripts, Jupyter notebooks, notes, and experiments showcasing practical examples of working with LLMs, prompts, chains, memory, and agents.

Tutorials from https://learn.deeplearning.ai/; llm, agent, langchain related

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Learn langgraph. Docs: https://langchain-ai.github.io/langgraph/tutorials/introduction/

Pequeño tutorial para lanzar un agente usando streamlit, langchain y vertex ai

Polyglot AI/LLM experimentation monorepo with LangChain-based copilot experiments, Flask + SvelteKit PDF chat app, and standalone tutorial scripts.

This repository contains tutorial materials and example code based on DeepLearning.AI's "LangChain: Chat with Your Data" course.

Sample boilerplate for a chatbot using LangGraph with node and JS. Based on https://langchain-ai.github.io/langgraphjs/tutorials/chatbots/customer_support_small_model/

This repository contains a tutorial based on 'LangChain for LLM Application Development' course created by DeepLearning.AI, with updated code versions to help users get started more easily.

This repository is a learning resource for mastering Generative AI and LangChain, with a strong focus on building chat models. It includes step-by-step tutorials, real-world projects, and best practices for developing AI-powered conversational applications using Python. Ideal for learners looking to dive into chat-based AI development.

A collection of Generative AI implementations focused on real-world applications like Retrieval-Augmented Generation (RAG), chatbots, and multimodal systems. Includes production-ready code, tutorials, and experiments using LangChain, OpenAI, and open-source models (Llama, Mistral). Contributions welcome!

A live Arabic learning platform, offering AI-powered tutorials and question-answering tests. Built with Next.js for a dynamic, responsive UI, PyTorch-based CNN for processing Arabic handwriting, and integrates LangChain with HuggingFace models for realtime question-answering.

Want to build your own AI chatbot that can read your PDFs and websites? 🤖 In this beginner-friendly tutorial, I’ll walk you through every step of creating a RAG chatbot using Streamlit, Elasticsearch, Redis, and an LLM — all explained in simple language! Perfect for anyone starting with AI projects or LangChain.

A powerful AI research assistant built with LangChain and OpenAI that helps you research any topic by searching the web, Wikipedia, and other sources. This project was created following the tutorial by [Tech With Tim](https://www.youtube.com/watch?v=bTMPwUgLZf0).