AI-901 Introduction to AI with Azure

Price
Net: 690,00 €
VAT: 131,10 €

Duration
1 day

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

Location

Course Language
German

Training Solutions
WalkIn^®

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Understanding AI applications, categorizing them, and integrating them effectively with Microsoft Azure: This is precisely why a solid understanding of modern AI concepts and cloud technologies is essential. From machine learning to generative AI, this course provides a practical overview of key use cases and Azure AI services.

Key Topics

Fundamentals of artificial intelligence and machine learning.
Azure AI Services and typical cloud applications.
Computer vision and image analysis.
Natural Language Processing and speech processing.
Generative AI and Azure OpenAI.
Responsible and secure use of AI.

Prerequisites
No prior technical knowledge or programming skills are required. A basic interest in AI, cloud computing, and Microsoft Azure is sufficient.

Target Audience
Suitable for IT beginners, professionals, project managers, and anyone who wants to better understand AI technologies and Azure and apply them in a professional context.

A solid foundation for getting started with Azure AI and for further specialization in AI, the cloud, and intelligent applications.

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Course Content

AI Concepts for Developers and Technology Experts

Fundamentals of Artificial Intelligence
Generative AI and AI Agents
Natural Language Processing (NLP)
AI-Based Speech Processing
Computer Vision
AI-Based Information Extraction
Retrieval-Augmented Generation (RAG)

AI Applications and Agents on Azure

AI in Azure
Generative AI and Agents
Text Analysis
Speech Recognition
Computer Vision
AI-powered Information Extraction
Microsoft Foundry IQ

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 is Azure AI, and what is it used for?

Azure AI bundles Microsoft's cloud services for artificial intelligence. Among other things, it enables users to understand text, analyze images, process speech, extract information from documents, and integrate generative AI into applications.

Where do you encounter Azure AI in your day-to-day work?

Typical examples include intelligent search systems, chatbots, automated document analysis, image recognition, and text analysis. Such AI solutions are used in areas such as customer service, administration, development, production, and data analysis.

What types of AI are relevant to Azure?

Key areas include generative AI, machine learning, natural language processing, and computer vision. Depending on the task, AI systems generate content, recognize patterns, analyze natural language, or extract information from images.

What can generative AI do in Azure?

Generative AI can generate text, summarize content, answer questions, or process information. Through Azure, these capabilities can be integrated into applications and digital processes and connected to existing corporate data.

How can you identify a suitable use case for AI?

These tasks are suitable for situations involving the analysis of large amounts of data, the classification of content, or the processing of recurring information. Key factors include a clearly defined objective, appropriate data, and a measurable benefit for the specific process.

Who benefits from Azure AI expertise?

Knowledge of Azure AI is relevant to IT, development, data analysis, project management, and technical consulting. It makes it easier to evaluate AI solutions and provides a foundation for collaborating on cloud-based AI projects.

What are the essentials for getting started?

A basic understanding of IT, data, and cloud computing is helpful. In-depth programming or machine learning skills are not required to get started, as the focus is initially on key AI concepts and their applications.

What makes an Azure AI solution reliable?

Clear requirements, high-quality data, and verifiable results are essential prerequisites. In addition, data protection, access rights, transparency, and responsible AI play an important role in ensuring that AI applications are used in a transparent and responsible manner.

Do you have any further questions? Please contact us.

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