- 81% Master RAG: Ultimate Retrieval-Augmented Generation Course

Master RAG: Ultimate Retrieval-Augmented Generation Course

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  • The lowest price of Master RAG: Ultimate Retrieval-Augmented Generation Course was obtained on February 5, 2025 3:07 am.

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Last updated on February 5, 2025 3:07 am
Master RAG: Ultimate Retrieval-Augmented Generation Course
Master RAG: Ultimate Retrieval-Augmented Generation Course

Original price was: $74.99.Current price is: $14.00.

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Master RAG: Ultimate Retrieval-Augmented Generation Course

★★★★★
$74.99
$14.00
 in stock
Udemy.com
as of February 5, 2025 3:07 am

Learn RAG for LLMs and Advanced Retrieval Techniques | LangChain and Embeddings | Multi-Agent RAG | RAG Pipelines

Created by: Sandra L. Sorel
Software Developer (Javascript | ReactJS | DApp | Web3 | AI)
Created by: Ligency Team
Helping Data Scientists Succeed
Rating:4.37 (292reviews)     3062students enrolled

What Will I Learn?

  • Understand the Fundamentals of Retrieval-Augmented Generation (RAG)
  • Explore advanced techniques to optimize and fine-tune the RAG pipeline
  • Experiment with the levels of Text splitting (simple to complex) with examples to improve the retrieval process
  • Learn to handle multiple document types to prep data for the LLM (unstructured(dot)io)
  • Experiment with text splitters, Chunking strategies and optimization techniques
  • Develop a comprehensive project: A multi-agent LLM-driven application using LangGraph
  • Enhance RAG systems with pre-retrieval and post-retrieval optimization techniques and learn retrieval optimization with Query Transformation and Decomposition

Requirements

  • Basics web development and programming skills (1-2 xp)
  • Python programming Language (1-2 xp)
  • Basic command line operations
  • Latest version of Python (3.7+)
  • A Code Editor (recommanded : Visual Studio Code)
  • One first experience with building LLM-driven applications

Target audience

  • Python developers & ML Engineers who want to build AI-driven applications leveraging LLMs
  • Students and Learners willing to dive into RAG implementations and gain hands-on experience with practical examples
  • Tech Entrepreneurs and AI Enthusiasts seeking new learning and business opportunities in AI

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