Accueil / AI-901 : Introduction to AI in Azure

AI-901 : Introduction to AI in Azure

4.8/5
Artificial IntelligenceAzureFundamentals
Level : Beginner
Useful information
Duration : 1 Day (7 Hours)
Remote price : 800 € excl tax/pers
Mock exam price : 60 € excl tax/pers
Voucher : Offered
Targeted audience
  • Any type of audience
Next dates
Remote
Intra-company
On demand

Training Overview

During this training, participants will explore fundamental concepts related to artificial intelligence (AI) and the Microsoft Azure services that can be used to create AI solutions. Participants will also gain awareness of common AI workloads and learn how to identify Azure services that support them.

Badge certification AI900AI-900 : Azure AI Fundamentals

Learning Objectives

Trainees will be able to:

  • Know AI concepts for developers and technology professionals
  • Get started with AI applications and agents on Azure
Training Program

Discover AI concepts

  • Discover the types of solutions that AI can make possible and considerations for responsible AI practices.

 

Discover AI and generative agents

  • Describe the fundamental concepts of generative AI.
  • Explain how large language models (LLMs) work.
  • Thinking about creating effective queries for LLMs.
  • Describe the fundamental concepts of agents and agentic AI solutions.

 

Learn about natural language processing concepts

  • Explore the concepts and techniques of text analysis.

 

Learn about AI speech recognition concepts

  • Identify different application scenarios for AI speech
  • Describe how speech recognition works
  • Describe how text-to-speech works

 

Discover computer vision concepts

  • Identify different types of computer vision tasks
  • Describe how filters are used in image analysis
  • Describe the key features of a convolutional neural network (CNN)
  • Describe the main features of a vision transformer (ViT)
  • Describe how generative AI can be used to create images

 

Learn about AI-powered insights extraction concepts

  • Understand the key concepts of information extraction.
  • Describe how optical character recognition (OCR) extracts text from images.
  • Explain how form extraction associates extracted text with data fields.

 

Get started with generative AI and agents in Azure

  • Describe how an agent encapsulates model behavior using system statements and tools
  • Identify the appropriate model for a job using the Foundry Model Catalog
  • Deploy a model to the Foundry portal and replicate Playground parameters in code
  • Create and test an agent in the Foundry portal
  • Use an agent in the Playground to validate prompts and behavior
  • Invoke an agent from code using the Foundry Project API

 

Introduction to text analytics on Azure

  • Use Microsoft Foundry features for text analytics

 

Get started with speech recognition in Azure

  • Use the Azure Speech speech-to-text API for speech recognition.
  • Use the Azure Speech text-to-speech API for text-to-speech
  • Use the Voice Live features of Azure Speech

 

Get started with computer vision on Azure

  • Explore modal models for image analysis
  • Understand image generation features
  • Understanding Video Generation Features

 

Get started with AI-powered information extraction in Azure

  • Identify Foundry tools for information extraction
  • Describe Azure Vision information extraction capabilities.
  • Describe Azure Content Understanding information extraction capabilities
  • Describe Azure Document Intelligence information extraction capabilities.
  • Describe the information extraction capabilities of Azure AI Search

 

Updated on 04/15/2025
Teaching Method

In this training, we mix theory with technical workshops to quickly make you operational. Additionally, each participant receives course materials at the end of the training.

One of our consultant trainers conducts the training. With solid field experience, they make the learning process both interactive and enriching.

For assessment, the trainer regularly asks questions and uses various methods to continuously measure your progress. This approach promotes a dynamic and engaging learning experience.

After the training, we ask you to complete a satisfaction questionnaire. Your feedback helps us to maintain and constantly improve the quality of our training.

Finally, we offer the flexibility to deliver this training both in-person and remotely, and it can be customized to meet your company’s specific needs upon request.

Prerequisites

No technical prerequisites are required for this training.

 

 

Accessibility

You can register for one of our training courses up to two business days before it starts, if there are still available places and you signed quote.

If you have specific needs related to a disability, please do not hesitate to make a request; we are happy to adjust our services according to the type of disability.

Pre-certification

This training leads for the Microsoft certification “AI-901 Microsoft Azure AI Fundamentals”. We recommend scheduling your exam approximately 1 month after completing the training. The course materials provided during the training will help you prepare effectively for your certification.

You can register for certification on the Microsoft site. If you would like to buy a certification voucher from us, or if you would like us to support you in this process, please contact us

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AI-901 : Introduction to AI in Azure

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