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This course introduces basic concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to build AI solutions. The course is not intended to teach students to become professional data scientists or software developers, but to increase awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience, combining instructor-led training with online materials on the Microsoft Learn platform. The practical exercises in the course are based on learning modules. Students are encouraged to use the learning content as reference material to reinforce what they are learning in class and explore topics in more depth.
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Course Contents
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- Module 1: Introduction to AI
- Module 2: Machine Learning
- Module 3: Computer Vision
- Module 4: Natural Language Processing
- Module 5: Dialogue-Oriented AI
The original Microsoft courseware is made available to you online.
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Target Group
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The Azure AI Fundamentals course is aimed at anyone who wants to learn more about the types of artificial intelligence (AI) solutions that are possible and the services in Microsoft Azure that can be used to create them. You do not need to have any experience with Microsoft Azure to attend this course. However, it is assumed that you are familiar with computer technology and the Internet. Some of the concepts covered in the course require a basic understanding of math, such as the ability to interpret graphs. The course includes hands-on activities that involve working with data and executing code. Therefore, knowledge of basic programming principles is helpful.
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Knowledge Prerequisites
-
No certification is required to attend this course. Successful participants in the Azure AI Fundamentals course will start with some basic knowledge of computing and Internet concepts and an interest in using Azure AI services.
In particular:
- Experience with computers and the Internet
- Interested in use cases for AI applications and machine learning models
- Willingness to learn through hands-on exploration
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Course Objective
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The course supports participants in preparing for the AI-900 exam, which is required for the "Microsoft Certified: Azure AI Fundamentals" certification.
| Modul 1: Einführung in AI |
| In diesem Modul lernen Sie die gängigen Anwendungen der künstlichen Intelligenz (AI) und die verschiedenen Arten der mit AI verbundenen Workload kennen. Anschließend werden Überlegungen und Prinzipien für eine verantwortungsvolle AI-Entwicklung untersucht. |
| Modul 2: Machine Learning |
| Maschinelles Lernen ist die Grundlage für moderne AI-Lösungen. In diesem Modul lernen die Teilnehmer einige grundlegende Konzepte für maschinelles Lernen kennen und erfahren, wie man den Azure Machine Learning-Service zum Erstellen und Veröffentlichen von Modellen für maschinelles Lernen verwenden. |
| Modul 3: Computer Vision |
| Computer Vision ist ein Bereich der AI, in dem es darum geht, die Welt visuell durch Bilder, Videodateien und Kameras zu verstehen. In diesem Modul lernen die Teilnehmer verschiedene Computer Vision-Techniken und -Services kennen. |
| Modul 4: Verarbeitung natürlicher Sprache |
| Dieses Modul beschreibt Szenarien für AI-Lösungen, die geschriebene und gesprochene Sprache verarbeiten können. Sie lernen Azure-Services kennen, mit denen Sie Lösungen erstellen können, die Text analysieren, Sprache erkennen und synthetisieren, zwischen Sprachen übersetzen und Befehle interpretieren. |
| Modul 5: Dialogorientierte AI |
| Mit dialogorientierter AI können Benutzer über Kommunikationskanäle wie E-Mail, Webchat-Schnittstellen, soziale Medien und andere einen Dialog mit einem AI-Agenten oder bot führen. Dieses Modul beschreibt einige Grundprinzipien für die Arbeit mit Bots und bietet ihnen die Möglichkeit, einen Bot zu erstellen, der intelligent auf Benutzerfragen antworten kann. |
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
This course introduces basic concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to build AI solutions. The course is not intended to teach students to become professional data scientists or software developers, but to increase awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience, combining instructor-led training with online materials on the Microsoft Learn platform. The practical exercises in the course are based on learning modules. Students are encouraged to use the learning content as reference material to reinforce what they are learning in class and explore topics in more depth.
-
Course Contents
-
- Module 1: Introduction to AI
- Module 2: Machine Learning
- Module 3: Computer Vision
- Module 4: Natural Language Processing
- Module 5: Dialogue-Oriented AI
The original Microsoft courseware is made available to you online.
-
Target Group
-
The Azure AI Fundamentals course is aimed at anyone who wants to learn more about the types of artificial intelligence (AI) solutions that are possible and the services in Microsoft Azure that can be used to create them. You do not need to have any experience with Microsoft Azure to attend this course. However, it is assumed that you are familiar with computer technology and the Internet. Some of the concepts covered in the course require a basic understanding of math, such as the ability to interpret graphs. The course includes hands-on activities that involve working with data and executing code. Therefore, knowledge of basic programming principles is helpful.
-
Knowledge Prerequisites
-
No certification is required to attend this course. Successful participants in the Azure AI Fundamentals course will start with some basic knowledge of computing and Internet concepts and an interest in using Azure AI services.
In particular:
- Experience with computers and the Internet
- Interested in use cases for AI applications and machine learning models
- Willingness to learn through hands-on exploration
-
Course Objective
-
The course supports participants in preparing for the AI-900 exam, which is required for the "Microsoft Certified: Azure AI Fundamentals" certification.
| Modul 1: Einführung in AI |
| In diesem Modul lernen Sie die gängigen Anwendungen der künstlichen Intelligenz (AI) und die verschiedenen Arten der mit AI verbundenen Workload kennen. Anschließend werden Überlegungen und Prinzipien für eine verantwortungsvolle AI-Entwicklung untersucht. |
| Modul 2: Machine Learning |
| Maschinelles Lernen ist die Grundlage für moderne AI-Lösungen. In diesem Modul lernen die Teilnehmer einige grundlegende Konzepte für maschinelles Lernen kennen und erfahren, wie man den Azure Machine Learning-Service zum Erstellen und Veröffentlichen von Modellen für maschinelles Lernen verwenden. |
| Modul 3: Computer Vision |
| Computer Vision ist ein Bereich der AI, in dem es darum geht, die Welt visuell durch Bilder, Videodateien und Kameras zu verstehen. In diesem Modul lernen die Teilnehmer verschiedene Computer Vision-Techniken und -Services kennen. |
| Modul 4: Verarbeitung natürlicher Sprache |
| Dieses Modul beschreibt Szenarien für AI-Lösungen, die geschriebene und gesprochene Sprache verarbeiten können. Sie lernen Azure-Services kennen, mit denen Sie Lösungen erstellen können, die Text analysieren, Sprache erkennen und synthetisieren, zwischen Sprachen übersetzen und Befehle interpretieren. |
| Modul 5: Dialogorientierte AI |
| Mit dialogorientierter AI können Benutzer über Kommunikationskanäle wie E-Mail, Webchat-Schnittstellen, soziale Medien und andere einen Dialog mit einem AI-Agenten oder bot führen. Dieses Modul beschreibt einige Grundprinzipien für die Arbeit mit Bots und bietet ihnen die Möglichkeit, einen Bot zu erstellen, der intelligent auf Benutzerfragen antworten kann. |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.
Guaranteed date
Online Training
Trainer language German