AI-3003 Build a natural language processing solution with Azure AI Services

Price
Net: €
VAT: €

Price
Price on Request

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Voice-based AI shapes modern applications, processes, and digital products. Intelligent text processing opens up new possibilities for automation, analysis, and user-friendly interaction in cloud-based environments.

Key topics

Natural language processing with Azure AI Services.
Text analysis, language comprehension, and semantic evaluation.
Use of modern NLP models and AI APIs.
Integration into scalable Azure architectures.
Security, data protection, and responsible AI use.

Prerequisites
Basic knowledge of cloud technologies, Azure, and AI or machine learning is recommended. Experience with APIs and data structures is helpful.

Target audience
IT professionals, developers, data and cloud specialists, and technical roles with a focus on AI-supported language processing and Azure-based solutions.

The content helps participants confidently integrate language-intelligent solutions into professional cloud environments and develop them further in a sustainable manner—with a clear focus on practical relevance, technological relevance, and long-term usability.

course content

Analyze text with Azure AI Language

Provisioning an Azure AI language resource
Detect speech
Extracting key phrases
Analyze sentiment
Extract entities
Extract linked entities

Create a solution for answering questions

Understanding answers to questions
Comparing question answering with Azure AI's language comprehension
Creating a knowledge base
Implementing multi-turn conversation
Testing and publishing a knowledge base
Using a knowledge base
Improve question answering performance

Building a model for understanding conversational language

Understanding the prebuilt capabilities of Azure AI Language Service
Resources for building a model to understand conversational language
Defining intents, utterances, and entities
Use patterns to distinguish similar utterances
Use prebuilt entity components
Train, test, publish, and review a model for understanding conversational language

Create a custom solution for text classification

Understanding types of classification projects
Understanding how to create text classification projects

Create a custom solution for extracting named entities

Understanding custom named entity recognition
Labeling data
Train and evaluate the model

Translating text with the Azure AI Translator Service

Provisioning an Azure AI Translator resource
Understanding speech recognition, translation, and transliteration
Setting translation options
Defining custom translations

Creating voice-enabled applications with Azure AI Services

Provisioning an Azure resource for speech
Using the Azure AI Speech to Text API
Using the text-to-speech API
Configuring audio format and voices
Using Speech Synthesis Markup Language

Translating speech with the Azure AI Speech Service

Provisioning an Azure resource for language translation
Translating speech to text
Synthesizing translations

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently Asked Questions

What exactly is natural language processing?

Natural Language Processing (NLP) refers to methods that enable computers to analyze and process spoken or written language. This training course covers the most important Azure AI services for language-based AI applications.

How does AI recognize moods or intentions in texts?

Language models can be used to automatically analyze opinions, emotions, and intentions. This training course shows how to implement such features using Azure AI Services.

How is information automatically extracted from documents?

AI can recognize names, places, organizations, or other relevant content in texts. This training course teaches how to extract structured information from unstructured documents.

What role does text classification play in AI projects?

Texts can be automatically assigned to categories, such as support requests, documents, or emails. This training course covers appropriate methods and how to implement them in practice.

Why do companies rely on automated speech analysis?

Analyzing large amounts of text would be virtually impossible to do manually. This training course shows how Azure AI Services can help you analyze information more quickly and put it to use.

How are speech features integrated into existing applications?

One key focus is on integrating Azure AI Services into your own applications and workflows. This allows you to flexibly expand intelligent language capabilities.

Which AI applications benefit most from NLP?

Typical applications include chatbots, virtual assistants, document analysis, customer service, knowledge management, and intelligent search functions.

What knowledge does this continuing education program provide for future AI projects?

This training course provides hands-on expertise in developing language-based AI solutions and lays the foundation for modern applications using Azure AI Services and generative AI.

Do you have any further questions? Please contact us.

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