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AI300: Extraction and Structuring of Data with AI

Training: Artificial Intelligence

Participants learn how to transform unstructured information into structured data using NLP methods and large language models such as OpenAI and Aleph Alpha. The course covers data extraction, transformation, and the use of Python and relevant libraries to efficiently integrate information into databases and processes.

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Possible course languages: German

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Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

Introduction to the problem statement: Necessity of an interface between unstructured data and structured databases and processes

Introduction to tools and libraries: Python, NLP libraries, LLMs (Open AI / Anthropic or Meta)

Information extraction techniques: Named entity recognition, deep learning, LLMs

Output parsing, function calling and tool usage: Application of learned techniques for extracting and integrating information

Practical exercises: Application of learned techniques to realistic examples and data

Final discussion: Experiences and challenges / How can the learned content be transferred to one's own context?

Objectives:

Information extraction, Named Entity Recognition, Deep Learning, LLMs, Output Parsing, Function Calling, Tool Usage.

Target audience:

Developers
IT Professionals

Prerequisites:

AI200 Introduction to Python for Data Science and AI (alternatively basic knowledge in Python)
AI255 Introduction to Large Language Models and their Integration

Description:

Information is ubiquitous, but often exists in unstructured formats. To make data-driven decisions, this information must be converted into structured data.

The workshop AI300 Data Extraction and Structuring with AI teaches techniques for data extraction and transformation, presenting both established Natural Language Processing (NLP) methods and new capabilities through Large Language Models (LLMs) such as OpenAI and Aleph Alpha. Participants learn to effectively utilize tools and libraries such as Python, NLP libraries and LLMs to extract relevant information from unstructured data and integrate it into structured databases and processes.

We recommend additional participation in the content-related module AI305 Information Extraction and Transformation with AI.