Cursarium
intermediateFree

Preprocessing Unstructured Data for LLM Applications

by Brian Raymond · DeepLearning.AI

4.4
(3,200 reviews)
50K+ enrolled1 hourUpdated 2024-05
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What You'll Learn

Understand the fundamentals and key concepts of LLMs
Apply LLMs techniques to solve real-world problems
Understand the fundamentals and key concepts of data preprocessing
Apply data preprocessing techniques to solve real-world problems
Understand the fundamentals and key concepts of RAG
Apply RAG techniques to solve real-world problems

About This Course

Extract and normalize text from PDFs, images, HTML, and other document formats for use in LLM pipelines.

Curriculum

Module 1: LLMs
3 lessons
  • Introduction to LLMs
  • LLMs in Practice
  • Hands-on Exercise: LLMs
Module 2: Data preprocessing
3 lessons
  • Introduction to data preprocessing
  • Data preprocessing in Practice
  • Hands-on Exercise: Data preprocessing
Module 3: RAG
3 lessons
  • Introduction to RAG
  • RAG in Practice
  • Hands-on Exercise: RAG
Module 4: Document parsing
3 lessons
  • Introduction to document parsing
  • Document parsing in Practice
  • Hands-on Exercise: Document parsing

Instructor

Brian Raymond

Instructor at DeepLearning.AI

4.4rating50K+ students

Pros & Cons

Pros

  • Completely free to access
  • High-quality video lectures
  • Taught by Brian Raymond
  • Well-structured curriculum

Cons

  • No certificate provided
  • Self-paced requires discipline
Free
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