Udemy – Unstructured Data Preprocessing for RAG Apps & LLMs – [NEW] 2024-7

Published on: 2024-09-21 18:13:43

Categories: 28

Description

Unstructured Data Preprocessing for RAG Apps & LLMs course – [NEW]. Unleash the power of unstructured data and advance your AI-based applications using advanced techniques with this comprehensive course. Whether you’re a developer, data scientist, or AI enthusiast, this course will give you the skills to extract, process, and normalize content from a variety of document formats—including PDF, PowerPoint, Word files, HTML pages, tables, and images—and It prepares your data for complex RAG systems and large linguistic models (LLM). In this hands-on course, the Unstructured framework, a powerful tool for managing and normalizing unstructured data, is comprehensively addressed. You will learn how to enrich your documents with metadata, use advanced segmentation techniques, and improve your data retrieval and production processes using hybrid search methods.

What you will learn in the course

Mastery of unstructured data processing: Learn to efficiently extract, process and normalize data from various document formats, including PDF, PowerPoint
Implementing Advanced Metadata Enrichment: Understanding how documents can be enriched with comprehensive metadata, enabling more accurate and relevant data retrieval.
Application of vision models and segmentation techniques: acquiring practical skills in the application of vision models such as ViT and advanced segmentation methods for management, analysis
Building and deploying hybrid search engines: Developing and deploying hybrid search engines that combine content-based retrieval with metadata-driven queries.

This course is suitable for people who

Developers and programmers
Data scientists and AI enthusiasts looking to expand their knowledge of unstructured data processing, metadata enrichment, and building retrieval augmented generation (RAG) systems.
Technical professionals working in fields where data normalization, segmentation and hybrid search are critical and want to implement robust solutions using the Unstructured framework and Vision Transformers (ViT).
Artificial intelligence and machine learning professionals interested in using advanced techniques for preprocessing and handling various document formats, such as PDF, PowerPoint, and HTML, to improve machine learning and LLM applications.

Unstructured Data Preprocessing for RAG Apps & LLMs course specifications – [NEW]

Publisher: Udemy
Lecturer: Paulo Dichone Software Engineer, AWS Cloud Practitioner & Instructor
Training level: beginner to advanced
Training duration: 3 hours and 2 minutes
Number of courses: 41

Course topics on 8/2024

Unstructured Data Preprocessing for RAG Apps & LLMs course prerequisites – [NEW]

Basic Programming Knowledge: Familiarity with programming concepts, particularly in Python and JavaScript, will help learners understand and apply the course content more effectively.
Familiarity with AI Concepts: A basic understanding of AI, LLMs, or machine learning will make it easier to grasp the data preprocessing and RAG concepts covered in the course.