
YouTubeWhile Large Language Models often grab the spotlight, the real challenge in AI development lies in the quality of the input data. This course focuses on the critical first step: building a robust Document Intelligence pipeline to turn messy, unstructured PDFs into structured, high-quality datasets.
You will learn the end-to-end workflow of PDF ingestion, text extraction, and normalization. The curriculum specifically prepares you to build data pipelines for RAG systems, AI Agents, and Machine Learning workflows, ensuring your models operate on clean, claim-wise consolidated information.
Most AI projects don't start with LLMs.
They start with data.
In this video, you'll learn how to build a complete Document Intelligence pipeline that transforms raw PDF documents into clean, structured, AI-ready data.
We will cover the complete workflow:
• PDF ingestion and processing
• Text extraction from documents
• Claim-wise document consolidation
• Text cleaning and normalization
• Preparing data for RAG systems
• Preparing data for AI Agents
• Preparing data for Machine Learning workflows
• Building AI-ready datasets from unstructured documents
This video is designed for:
• Software Engineers
• .NET Developers transitioning into AI
• AI Engineers
• Data Engineers
• Architects
• Anyone interested in RAG, Agents, and Document Intelligence
This is the foundation behind modern AI systems, RAG applications, AI Agents, and enterprise AI solutions.
Free Course:
https://www.udemy.com/course/getting-started-with-document-intelligence/?referralCode=A70DFA716DE820415ADB
Full Course:
AI Document Intelligence: RAG, Agents & ML Data
https://www.udemy.com/course/ai-document-intelligence-rag-agents-ml-data/?couponCode=9F10AE8E75F39D9AC61D
Connect with me:
LinkedIn:
https://www.linkedin.com/in/rahulsahay19
Medium:
https://rahulsahay19.medium.com
#AIEngineering #DocumentIntelligence #RAG #AIAgents #MachineLearning #DataEngineering #Python #ArtificialIntelligence #SoftwareArchitecture #AIArchitect
Price
This course is free to watch, with no account needed.
Watch free on YouTube →Advertisement




More in Development



