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)

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GenerativeAI, LLM, RAG, and LangChain technical Bootcamp including use cases, case studies, and the GenerativeAI app deployment implementation. 5 sectors → Energy, Healthcare, Finance, EdTech, Supply chain, and Law Enforcement.

Foundational bootcamp on LLM usage (prompting & inference) → tooling & orchestration (LangChain, agents) → Retrieval-Augmented Generation (RAG) → advanced multi-tool/agent patterns.

This project, developed as part of the GTech Mulearn Pathway AI BootCamp, is an interactive chatbot powered by Langchain and OpenAI modules. It intelligently understands and generates natural language responses, providing users with a seamless and user-friendly conversational experience.

Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.

Agentic AI Bootcamp with LangGraph Langchain

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A repository containing tutorial materials for exploring the library and making quick proof of concepts. Includes an overarching tutorial and starting templates for all main components of LangChain. The purpose of this repository is to get you started with building simple LLM proof of concepts to show to your boss who the actual boss is!

This repository covers all the code materials covered within Jose Portilla's Langchain with Python Bootcamp on Udemy.

Code that I wrote while taking the Udemy course "Langchain with Python Bootcamp" by Jose Portilla

This repository documents my learning journey from the Ultimate RAG Bootcamp. It contains structured notes, code implementations, and project files covering traditional to advanced Retrieval-Augmented Generation (RAG) techniques. The repo is organized section-wise for easy navigation, including notebooks, PDFs, and hands-on projects.

Comprehensive hands-on bootcamp covering the entire Agentic AI ecosystem. Learn by building projects, exploring LLMs, RAG, LangChain, Groq, OpenAI, and more. Perfect for practical AI learning and real-world applications

Code notebooks and hands-on exercises from the 'Complete Agentic AI Bootcamp with LangGraph & LangChain' Udemy course.

A hands-on learning repository following the Complete AI & LLM Engineering Bootcamp, focusing on Python, LLMs, RAG, agents, LangChain, LangGraph, and multimodal AI.

End-to-end, hands-on practice repo for the GenAI Systems Bootcamp. This repository tracks your journey across the full GenAI application stack—prompting, embeddings/vector DBs, RAG, agents (LangChain, LangGraph, CrewAI, Autogen), MCP, automation (n8n), deployment, and MLOps.

A 10-week intensive bootcamp focused on building production-ready AI agent applications. Learn advanced LLM concepts and implementation including RAG, fine-tuning, multi-agent systems, evaluation metrics, and deployment optimization. Build real-world projects using industry-standard tools like LangChain, OpenAI, and LlamaIndex.

ai_bootcamp_13-upstageailab-langchain-pjt-AI-Bootcamp-Classroom-Repository-MLOps-Project-Template created by GitHub Classroom

A Langchain example to showcase to developers learning at the AI Bootcamp

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Langchain bootcamp

LangChain Bootcamp

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