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AI310: From Automatic Transcription to Structured Information with AI

Training: Artificial Intelligence

The workshop teaches how AI can be used for automated transcription and the conversion of spoken language into structured information. Participants receive practical guidance on using API solutions such as Whisper and learn about use cases such as customer feedback analysis, data extraction, and translation. Prerequisites are basic knowledge of Python and large language models.

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Appointments in German language


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Possible course languages: German

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

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Agenda:

Introduction to automatic audio transcription and underlying concepts

Usage of API solutions for transcription of audio files, e.g. Whisper by OpenAI

Processing of transcripts and exploration of various use cases, such as
- Classification of customer feedback
- Data extraction from transcribed text
- Translation of text into other languages

Hands-on exercises for implementation of learned concepts in own projects

Discussion about possible future developments and challenges in the field of automatic transcription

Objectives:

Convert audio-based speech to text, process transcripts, explore use cases, utilize APIs

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:

The workshop AI310 From Automatic Transcription to Structured Information with AI provides an introduction to the concepts of automated audio transcription and demonstrates how Artificial Intelligence can be used to transform natural language into structured information.

Participants receive hands-on instructions for using API solutions such as Whisper from OpenAI and learn how to deploy this technology for their own purposes. Potential use cases covered include automated customer feedback evaluation, data extraction, and translation. The course targets professionals and developers and requires basic knowledge of Python and Large Language Models.