In this module, we will guide you through setting up the necessary development environment, including creating and configuring API accounts, integrating the Unstructured framework, and performing a test run to ensure everything is operational before proceeding with data preprocessing tasks.

In this module, we will explore the intricacies of data preprocessing for LLMs, delving into the challenges posed by unstructured data and the techniques required to overcome them. You'll learn about the entire workflow—from cleaning and normalizing data to structuring and chunking it—culminating in a comprehensive overview of the Unstructured framework.

In this module, we will dive into hands-on exercises using the Unstructured framework to preprocess different document types. You'll explore the steps involved in extracting and normalizing data from PDFs, PPTX files, and HTML, and discover how these processes improve data quality for downstream use cases in LLMs and RAG systems.

In this module, we will focus on chunking and metadata extraction, exploring how to segment document content into logical units and enrich it with metadata for advanced applications like semantic similarity and hybrid search. Through hands-on activities, you’ll learn how to optimize document processing workflows, structure document elements effectively, and integrate results into a vector database.

In this module, we will tackle the challenges of preprocessing complex documents, including PDFs and images, by leveraging advanced tools like DLD and ViT. You’ll explore hands-on methods for extracting and summarizing table content, gain insights into preprocessing HTML and PDF files efficiently, and evaluate the trade-offs between different preprocessing techniques.

In this module, we will synthesize the skills and techniques learned throughout the course to build a complete RAG system. From preprocessing and structuring complex documents to creating a searchable database and enabling conversational interactions with your documents, you’ll gain hands-on experience in deploying an end-to-end solution tailored for real-world applications.

In this module, we will conclude the course by revisiting the major milestones and skills acquired. You’ll receive guidance on applying your knowledge to real-world scenarios and discover resources to continue your journey in advanced data preprocessing and RAG system development.