Description
Hands-On RAG Bootcamp: Build Apps with LangGraph & LangChain. This course is a comprehensive and practical guide to mastering RAG technology and building advanced AI systems using LangChain and LangGraph. RAG, or Retrieval Augmented Generative, is a key method in modern AI that allows systems to intelligently retrieve information and produce accurate answers. Focusing on real-world projects, this course teaches how to build chatbots, virtual assistants, and advanced research tools. The goal is to transfer the skills necessary to transform raw data into intelligent systems with widespread application in various industries. The training starts from introductory concepts and progresses to the design of complex agent-based architectures. Using the LangChain and LangGraph libraries, workflow and memory management in language models are taught. This course is not just theory; with step-by-step exercises, participants build programs that can analyze text, tables, and images in PDF files. Also, creating user interfaces with Streamlit and managing conversation history are taught so that individuals can produce market-ready applications. The course content is designed to provide a deep understanding of the underlying logic of AI, so that it is possible to design similar systems from scratch, even without pre-built tools.
What you will learn
- Basics and Getting Started: A thorough introduction to the basic concepts and applications of Retrieval-Augmented Generation (RAG).
- Working with LangChain: Building your first smart application using the capabilities of the LangChain library.
- Document Interaction: Designing a system for conversation and question and answer with multiple PDF files simultaneously.
- Building a system from the ground up: Learn how to implement a RAG application without relying on tools like LlamaIndex.
- Conversation management: Implementing memory and multi-stage conversation logic to make chatbots smarter.
- User Interface Development: Building a web application with Streamlit that features chat history and live interaction.
- Multimodal Analysis: Learn how to extract and understand information from complex files including text, images, and tables.
- Working with structured data: Creating an intelligent agent to analyze CSV files with the help of Pandas and judging linguistic models.
- Autonomous Intelligent Systems: Step-by-step implementation of Agentic RAG using the power of LangGraph.
This course is suitable for people who:
- All enthusiasts who want to learn RAG technology from basic concepts to highly advanced systems.
- Beginners in the field of AI who are looking for a completely practical, skill-based, and step-by-step learning path.
- Developers and programmers whose goal is to build intelligent assistants, business chatbots, and professional tools for data research and analysis.
- Professionals who want to design operating systems using the latest Open Source tools such as LangGraph.
Course details
- Publisher: Udemy
- Instructor: Muhammad Moin
- Training level: From beginner to advanced level
- Training duration: 4 hours and 50 minutes
- Number of lessons: 10
Course topics
Prerequisites for the Hands-On RAG Bootcamp: Build Apps with LangGraph & LangChain course
- Basic understanding of Python programming
- No prior knowledge of RAG is required —we’ll start from scratch
- Basic knowledge of LangChain is a plus
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.6 GB
