+49 (911) 80 10 30

Give us a call or have us call you back!

Simply leave a message with your callback appointment

Your Name *

Your phone number *

Callback date *

Callback time *

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.

* All fields marked with an asterisk are mandatory fields.
Send a message

Your Name *

Your email *

Your phone number

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.*

* All fields marked with an asterisk are mandatory fields.
Social Media

Share page

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.

Appointment selection

Appointments in German language


Unfortunately there are currently no available appointments. Would you like to request an appointment? Then click on 'No matching appointment?'

Possible course languages: German

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

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)
AI250 Introduction to Prompt Engineering for Developers
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.