Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 21 Minute(s)
Language
English
Taught by
KGP Talkie | Laxmi Kant
Rating
2 views
Course Overview
Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS, Doclings, VectorDB
Learn how to build smart AI systems using LangChain, LangGraph, Ollama, and OpenAI! This course will teach you how to create Retrieval-Augmented Generation (RAG) systems step by step. If you are a beginner or have some experience in AI, this course is perfect for you.
What You Will Learn:
Ollama Setup: Learn how to set up and use Ollama for your AI models.
LangChain and LangGraph Basics: Understand these tools and how to use them together.
Document Loader (Doclings): Easily load and prepare documents for your AI system.
Vector Stores and Retrievals: Use databases to find and retrieve information quickly.
Agentic RAG: Build AI systems that can act like smart assistants.
Why Take This Course?
This course makes complex topics easy to understand. You will practice with real-world examples and build your own AI solutions by the end of the course. You’ll also gain hands-on experience with the latest tools in generative AI and become confident in building practical, production-ready applications.
Whether you're a student, developer, or tech enthusiast, this course equips you with the skills to bring AI ideas to life. With clear explanations, guided projects, and expert tips, you'll be ready to create innovative AI products that solve real-world problems.
Start your journey to creating smarter and more powerful AI systems today!
Course Content
- 9 section(s)
- 68 lecture(s)
- Section 1 Introduction
- Section 2 Ollama Setup
- Section 3 Getting Started with LangChain
- Section 4 Getting Started with LangGraph
- Section 5 Introduction to OpenAI and LLAMA Vision Models
- Section 6 Doclings - Convert PDF, DOCX, PPTX, HTML to MarkDown
- Section 7 Advanced Doclings - PDF (Any Documents) to MarkDown with Images and Tables
- Section 8 Vector Stores and Retrievals for RAG
- Section 9 Agentic RAG
What You’ll Learn
- Understand RAG Concepts: Learn the basics of Retrieval-Augmented Generation (RAG) and how it enhances AI systems by combining retrieval and generation.
- Work with LangChain and LangGraph: Master the use of LangChain and LangGraph to build AI workflows and integrate tools seamlessly.
- Build Smart RAG Systems: Create intelligent and adaptive RAG systems using techniques like agentic, corrective, adaptive, and self-improving methods.
- Deploy AI in Production: Gain the skills to deploy RAG-based AI solutions effectively using tools like Streamlit and AWS EC2.
Skills covered in this course
Reviews
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AAnjali Tiwari
Great Course on agentic rag with langchain thankyou
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AAbel Joseph
good course to get started with agentic AI
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이이상현
- The introduction to Ollama was a bit excessive. - Contrary to what was promised, my questions were not answered throughout the course until I finished all the lectures. - The pronunciation was difficult to understand, and the subtitles from the STT were inaccurate.
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SSanjeev
Pretty informative and technical hands-on course. Loved it.
