Available courses
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Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
Prepare data by enriching it with metadata that improves search, retrieval, context, and AI performance.
This course focuses on fundamental text preprocessing. It covers how to break down raw user input into structured data (tokens, lexical categories) as the first step in understanding. This workshop is not about classifying meaning or building ML models – it is about linguistic preprocessing only. The primary audience is technical (Python developers, NLP engineers), though the concepts are accessible to cross-functional team members interested in the basics of NLP input processing.