Udemy – Build an AI Chatbot with Python Using RAG, LangChain, Ollama 2025-3
Udemy – Build an AI Chatbot with Python Using RAG, LangChain, Ollama 2025-3 Downloadly IRSpace
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Build an AI Chatbot with Python Using RAG, LangChain, Ollama is a course combining Python with powerful modern tools such as Retrieval-Augmented Generation (RAG), LangChain, and Ollama published by Udemy Online Academy. This is a hands-on course that teaches you how to develop intelligent, context-aware chatbots by combining Python with powerful modern tools such as Retrieval-Augmented Generation (RAG), LangChain, and Ollama. This course is ideal for developers, data scientists, or AI enthusiasts who want to go beyond traditional chatbot capabilities and build systems that can access and reason based on external knowledge in real time.
This hands-on course is designed for Python developers, data scientists, and AI enthusiasts looking to enter the world of Retrieval-Augmented Generation (RAG) and learn how to build intelligent document-based applications. In this course, you will learn how to build a powerful PDF Q&A chatbot using advanced AI tools such as Ollama, LangChain, and vector embeddings. You will gain hands-on experience in processing PDF documents, extracting and generating meaningful information, and integrating a large local language model (LLM) to provide context-aware answers to user questions. By the end of the course, you will have the skills to build and deploy your own AI-powered document Q&A chatbot.
What you will learn in Build an AI Chatbot with Python Using RAG, LangChain, Ollama:
- Understanding Retrieval Augmentation Generation (RAG) – Learn how RAG improves LLM responses by combining real-world data with AI-generated text.
- Building a PDF Q&A Chatbot – Develop an efficient chatbot that extracts and retrieves relevant information from a PDF using LangChain and Ollama.
- Implementing Vector Embeddings and Semantic Search – Create vector embeddings for document text and use a local database to retrieve information.
- Implementing Local AI Models with Ollama – Set up and interact with large local language models (LLMs) such as Mistral and Llama3 to generate AI-driven responses.
- And…
Course specifications
Publisher: Udemy
Instructors: Ashraf TP Mohammed
Language: English
Level: Intermediate
Number of Lessons: 23
Duration: 3 hours and 17 minutes
Course topics
Build an AI Chatbot with Python Using RAG, LangChain, Ollama Prerequisites
Basic Python Knowledge – Familiarity with Python programming (variables, functions, and loops).
Fundamental Understanding of AI/LLMs – Some exposure to large language models (LLMs) and AI concepts is helpful but not required.
VS Code & Command Line Basics – Ability to install and run Python packages using the terminal or command prompt.
No Prior Experience with LangChain or Ollama Needed – The course covers these tools from scratch.
Pictures
Build an AI Chatbot with Python Using RAG, LangChain, Ollama introduction video
Installation guide
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Quality: 720p
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Size
1.2 GB
