A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.

Contains the public resources of Hands on GenAI book

Welcome to the hands-on resource hub for the Generative AI Development Environments Bootcamp. This repo is designed to help you explore different Azure-based development environments for building and deploying GenAI solutions.

All the resources related to GenAI hands on workshop.

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.

Students material for a full day hands-on workshop on GenAI

A practical, hands-on guide to build and deploy modern applications and GenAI solutions backed by AWS databases.

This is a a hands-on course teaching GenAI Foundations including Deep Learning, NLP, LLMs, Prompt Engineering, Fine Tuning, RAG, and Optimization (distillation, pruning, and quantization).

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Welcome to GenAI_DayZero, a hands-on journey into Generative AI and Large Language Models (LLMs). This repository showcases my learning and experiments, from zero knowledge to advanced AI tools. I’ll be sharing code, insights, and resources to explore the exciting possibilities of GenAI. Let’s learn and build together!

A growing collection of hands-on projects pushing the boundaries of GenAI: covering LLMs, agents, RAG variants, multimodal systems, and general generative models. Built to explore, test, and create at the edge of what’s possible.

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Hands-on training (July 2025) at Sathyabama Univ on GenAI & AI Agents. Learn chatbot creation, RAG from text/PDF/web/image/vector DBs, and build agents using LangChain, LangGraph, LangFlow, Google ADK & n8n. Python best practices and API credentials included.

This repository contains hands-on exercises and demo notebooks for a workshop on Generative AI in Industry. Participants will explore both Generative AI and Agentic AI through practical, domain-focused use cases.

🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.

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Aura (or AuraDS) Infra setup for hands-on sessions at Neo4j workshops (Neo4j Introduction, Data modeling, GDS and GenAI)

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Hands-on AI learning path: ML, DL, CV, NLP, RL & GenAI notebooks.

Hands-on project from "Generative AI for Data Scientists" – Feature engineering Titanic dataset with GenAI

Practice repo for Generative AI projects, experiments, and hands-on learning with modern GenAI techniques.

Repository for submitting the code deliverables as part of hands-on exercises in Peer GenAI Certifications

Build a RAG system with Node.js & Google GenAI SDK. Learn PDF processing, embeddings, semantic search & AI-powered Q&A in 9 hands-on steps.

Machine Learning, Deep Learning, Data Analytics, Power BI, GenAI & Azure Cloud projects completed during Microsoft Elevate Internship (GTU 8th Semester) with hands-on labs and real-world implementations.

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Exercise and Practical Codes - Guidelines for Hands on GenAI book

GenAI Hands-on Exercises

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手撕生成式模型相关的算法题