Designing and Implementing a Microsoft Azure AI Solution

Course AI-102T00

  • Duration:
    • 5 days

Dates:

  • Implementation planned - places still available
  • Implementation - probability high - still places available
  • There are no more seats available. For many courses, it may still be possible to participate online, via virtual classroom.
  • Course times: As a rule, our seminars are held from 10:00 am to 5:00 pm on day 1 and from 9:00 am to 4:00 pm on the following days. Changes are possible. The concrete seminar times you will find in the binding order confirmation.
25.08.2025 - 29.08.2025 Virtual Classroom
  • 2990 EUR / Person
German
06.10.2025 - 10.10.2025 Virtual Classroom
  • 2990 EUR / Person
German
27.10.2025 - 31.10.2025 Virtual Classroom
  • 2990 EUR / Person
German
17.11.2025 - 21.11.2025 Virtual Classroom
  • 2990 EUR / Person
German
02.02.2026 - 06.02.2026 Virtual Classroom
  • 2990 EUR / Person
German
04.05.2026 - 08.05.2026 Virtual Classroom
  • 2990 EUR / Person
German
27.07.2026 - 31.07.2026 Virtual Classroom
  • 2990 EUR / Person
German
26.10.2026 - 30.10.2026 Virtual Classroom
  • 2990 EUR / Person
German
AI-102 Designing and Implementing an Azure AI Solution" is intended for software developers who want to develop AI-based applications that utilise Azure Cognitive Services, Azure Cognitive Search and Microsoft Bot Framework. This course uses C# or Python as the programming language.
In this course, participants will acquire the following skills
  • Describe considerations for developing AI-enabled applications
  • Create, configure, deploy and protect Azure Cognitive Services
  • Develop applications that analyse text
  • Developing speech-enabled applications
  • Build applications with natural language understanding capabilities
  • Creating QnA applications
  • Creating conversational solutions with bots
  • Using machine vision services to analyse images and videos
  • Creating customised models for machine vision
  • Developing applications to recognise, analyse and identify faces
  • Developing applications that read and process text in images and documents
  • Creating intelligent search solutions for knowledge retrieval
  • Preparing the development of AI solutions in Azure
  • Creating and using Azure AI services
  • Securing Azure AI services
  • Monitoring Azure AI services
  • Deploying Azure AI services in containers
  • Analysing images
  • Classifying images
  • Recognising, analysing and identifying faces
  • Reading text in images and documents with the Azure AI Vision service
  • Analysing videos
  • Analysing text with Azure AI Language
  • Creating a solution for the "Questions and answers" function
  • Creating a Conversational Language Understanding model
  • Creating a solution for custom text classification
  • Creating a custom solution for named entity extraction
  • Translating text with the Azure AI Translator service
  • Create voice-enabled apps with Azure AI Services
  • Translate speech with the Azure AI Speech service
  • Create an Azure Cognitive Search solution
  • Create a custom skill for Azure Cognitive Search
  • Create a knowledge store with Azure Cognitive Search
  • Plan a solution with Azure AI Document Intelligence
  • Using the predefined models of Azure AI Document Intelligence
  • Extracting data from forms with Azure AI Document Intelligence
  • Getting started with Azure OpenAI Service
  • Creating natural language solutions with Azure OpenAI Service
  • Applying prompt engineering with Azure OpenAI Service
  • Generate code with Azure OpenAI Service
  • Generate images with Azure OpenAI Service
  • Using your own data with Azure OpenAI Service
  • Basics of responsible generative AI

Software developers interested in compiling, managing and deploying AI solutions using Azure Cognitive Services, Azure Cognitive Search and Microsoft Bot Framework. You will be familiar with C# or Python and have knowledge of using REST-based APIs to compile machine vision, speech analytics, knowledge discovery, intelligent search and conversational AI solutions in Azure.

Before attending this course, participants must fulfil the following prerequisites:

  • Knowledge of Microsoft Azure and the ability to navigate the Azure portal
  • Knowledge of C# or Python
  • Experience with JSON and REST programming semantics

To gain knowledge of C# or Python, complete the free Getting Started with C# or Getting Started with Python learning path before taking the course.

If you are new to artificial intelligence and want to get an overview of AI capabilities in Azure, you should complete the Azure AI Fundamentals certification before taking this course.

The course price includes

  • The original Microsoft training documents in English and digital form
  • Break catering for face-to-face training: drinks, biscuits and lunch

We are also happy to organise this training as an in-house seminar. Please request a customised offer.

The course is offered in German and English.

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