Welcome to the Complete Generative AI With LangChain and Hugging Face repository — a complete hands-on course designed to help you understand, build, deploy, and optimize modern Generative AI applications using cutting-edge technologies like LangChain, Hugging Face, LLMs, and RAG Pipelines.
This repository contains practical implementations, tutorials, deployment strategies, and real-world AI projects that guide learners from beginner-level concepts to advanced production-ready AI systems.
Whether you are an:
- AI Enthusiast
- Developer
- Machine Learning Engineer
- NLP Practitioner
- Student
- Researcher
this course will help you gain practical experience in creating intelligent AI-powered systems.
Learning Journey:
Programming Fundamentals
↓
Generative AI
↓
LLMs
↓
Prompt Engineering
↓
Hugging Face
↓
LangChain
↓
Vector Databases
↓
RAG Systems
↓
AI Applications
↓
AI Agents
↓
MCP
↓
Deployment
↓
Optimization
↓
Industry Projects
↓
GenAI Engineer
- Fundamentals of Generative AI
- Understanding Large Language Models (LLMs)
- Traditional AI vs Generative AI
- Applications of Generative AI
- Introduction to LangChain
- Chains and Sequential Workflows
- Agents and Tools
- Prompt Templates
- Memory Management
- LangChain Architecture
- Hugging Face Transformers
- Pre-trained Models
- Model Pipelines
- Tokenizers
- Fine-Tuning Models
- NLP Applications using Hugging Face
- Understanding RAG Pipelines
- Embeddings and Vector Databases
- Semantic Search
- Document Retrieval
- Context-Aware AI Systems
- Improving AI Accuracy using Retrieval
Learn how to create:
- AI Chatbots
- Question Answering Systems
- AI Assistants
- Text Summarizers
- Content Generators
- Knowledge Base Systems
- AI Automation Tools
- Local Deployment
- Cloud Deployment
- API Development
- Docker Integration
- Scalable AI Systems
- Production-Level AI Applications
- Prompt Engineering
- Model Optimization
- Cost Optimization
- Monitoring AI Systems
- Updating AI Models
- Improving Performance and Reliability
Hands-on real-world projects including:
- RAG-Based AI Assistant
- AI Chatbot
- Intelligent Document Search
- AI Content Generator
- NLP Automation System
- Multi-Document QA System
✅ Beginner to Advanced Content
✅ Practical Hands-on Learning
✅ Real-World Projects
✅ Industry-Level AI Workflows
✅ LangChain + Hugging Face Integration
✅ RAG Pipeline Development
✅ Deployment Tutorials
✅ Optimization Techniques
✅ Production-Oriented Learning
| Technology | Purpose |
|---|---|
| Python | Core Programming Language |
| LangChain | LLM Application Framework |
| Hugging Face | NLP & Transformer Models |
| Transformers | Deep Learning NLP Models |
| FAISS / ChromaDB | Vector Databases |
| OpenAI API | LLM Integration |
| Docker | Containerization |
| FastAPI / Flask | API Development |
| TensorFlow / PyTorch | Deep Learning Frameworks |
Before starting this course, you should have:
- Basic Python Knowledge
- Understanding of Programming Fundamentals
- Basic Machine Learning Concepts
- Familiarity with APIs
- Basic Command Line Usage
- Deep Learning Basics
- TensorFlow or PyTorch Knowledge
This course is ideal for:
- 👨💻 Software Developers
- 🤖 AI & ML Enthusiasts
- 📊 Data Scientists
- 🧠 NLP Practitioners
- 🎓 Students and Researchers
- 🚀 Technical Entrepreneurs
- 🛠️ Machine Learning Engineers
- 📚 AI Hobbyists
Generative AI is transforming industries worldwide. This course helps you build solutions for:
- Customer Support Automation
- AI Content Creation
- Smart Search Engines
- Enterprise Knowledge Systems
- AI Assistants
- Chatbots
- Recommendation Systems
- Intelligent Automation Platforms
After completing this course, you will be able to:
✔️ Build Advanced Generative AI Applications
✔️ Create LangChain-Based Workflows
✔️ Integrate Hugging Face Models
✔️ Develop RAG Pipelines
✔️ Deploy AI Applications
✔️ Optimize AI Systems
✔️ Build Production-Level AI Projects
✔️ Work with LLM-Based Architectures
git clone https://github.com/udityamerit/Complete-Generative-AI-With-Langchain-and-Huggingface.git
cd Complete-Generative-AI-With-Langchain-and-Huggingfacepip install -r requirements.txtpython app.pyGenerative AI is one of the fastest-growing domains in technology and is widely adopted across industries.
Learning Generative AI helps you:
- Build intelligent applications
- Automate complex workflows
- Improve productivity
- Create AI-powered systems
- Advance your career in AI and ML
- Stay future-ready in technology
Contributions are welcome!
If you would like to improve this repository:
- Fork the repository
- Create a new branch
- Make your changes
- Commit your updates
- Submit a Pull Request
This project is licensed under the MIT License.
⭐ Repository: Complete Generative AI With LangChain and Hugging Face Repository
- 🌐 Portfolio: Portfolio Website
- 💻 GitHub: GitHub Profile
- 🔗 LinkedIn: LinkedIn Profile
- 📚 Knowledge Base: Knowledge Base Website