AI-901 Introduction to AI in Azure

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

The combination of artificial intelligence and cloud technology is one of the most dynamic developments in today’s digital landscape. Modern companies use intelligent services to make their processes more efficient, faster, and data-driven. This understanding is at the heart of a contemporary introduction to Azure-based AI concepts.

Key Topics

  • Fundamentals of intelligent systems
  • AI workloads and typical application scenarios
  • Natural Language Processing and Computer Vision
  • Overview of Azure-based AI services
  • Data ethics, transparency, and responsible use
  • Market Trends and Current Business Relevance

Prerequisites
No prior knowledge of cloud computing or artificial intelligence is required. An interest in digital technologies is sufficient to get started.

Target Audience
Particularly relevant for IT-savvy professionals, project managers, digital transformation leaders, and modern business roles.

The increasing integration of AI into digital processes makes a solid foundation of knowledge indispensable. A confident understanding of these technologies strengthens future-readiness in an innovation-driven work environment.

Print as PDF
Course Content
  • Generative AI and Agents
  • Text and Natural Language
  • Language
  • Computer Vision
  • Information Extraction
  • Responsible AI
  • Large Language Models (LLMs)
  • Prompts
  • AI agents
  • Tokenization
  • Statistical text analysis
  • Semantic language models
  • Voice-enabled solutions
  • Speech recognition
  • Speech synthesis
  • Tasks and Techniques in Image Processing
  • Images and Image Processing
  • Convolutional Neural Networks
  • Vision Transformers and Multimodal Models
  • Image Generation
  • Overview of Information Extraction
  • Optical Character Recognition (OCR)
  • Field Extraction and Mapping
  • Get started with Azure
  • Developing AI apps in Azure
  • Microsoft Foundry for AI
  • Using Microsoft Foundry endpoints
  • Generative AI models
  • Using a generative AI model
  • Creating an agent
  • Azure Language
  • Azure Language SDK
  • Azure Language MCP
  • Speech recognition
  • Speech synthesis
  • Creating a voice-enabled agent
  • Multimodal models for image analysis
  • Image generation models
  • Video generation models
  • Extract information from documents
  • Extract information from audio and video files

Frequently Asked Questions

  • Fundamentals of artificial intelligence, machine learning, and Azure AI services, with a clear focus on practical applications, use cases, and cloud concepts.
  • Ideal for beginners, IT professionals, project managers, and anyone who wants to demonstrate their AI expertise in the Microsoft Cloud environment.
  • Companies are increasingly turning to automated processes, data analytics, and intelligent applications—and Azure is one of the leading platforms in this field.
  • Certification enhances your profile in areas such as cloud computing, data, AI projects, and digital transformation, and increases your visibility during the job application process.
  • The course covers the fundamentals of AI, computer vision, natural language processing, generative AI, and the most important Azure AI services.
  • Yes, the focus is on clear fundamentals and practical concepts, which makes getting started with AI and Azure much easier.
  • A lack of understanding of AI can slow down projects. A solid foundation of knowledge reduces risks when making technology decisions and conducting strategic planning.
  • A solid foundation for roles in cloud computing, AI project management, data analytics, business intelligence, and Microsoft Azure environments.

Do you have any further questions? Please contact us.