AI-901: Azure AI Fundamentals | Introduction to AI in Azure

€495.00
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Course AI-901: Introduction to AI in Azure

Course overview

The AI‑901: Introduction to AI in Azure course presents the fundamental concepts of Artificial Intelligence (AI) and the main AI services available in Microsoft Azure, providing a clear and practical view of how AI can be applied in real business and technology scenarios.

This training is aimed at understanding the most common types of Artificial Intelligence workloads—such as computer vision, natural language processing, machine learning, and generative AI solutions—and at identifying the appropriate Azure services for each case, without the need for deep technical knowledge or prior experience in programming or data science.

 

What the official Microsoft course at Nanfor includes

The course includes official Microsoft Learn material, presentations by expert tutors, official labs (depending on the course), specialized tutoring, personalized sessions with an expert tutor, certification preparation, and a certificate of completion, combining official content with Nanfor's expert support.

Learn about all components

 

Course objectives

Upon completion of the course, the student will be able to:

  • Understand what Artificial Intelligence is and its main use cases.
  • Identify the different types of AI workloads.
  • Recognize the AI services available in Microsoft Azure.
  • Understand the fundamentals of machine learning.
  • Know the principles of responsible AI.
  • Understand how generative AI is integrated into the Azure ecosystem.
  • Make informed decisions about the use of AI solutions in business and technological contexts.

 

Prerequisites

No prerequisite certification is required to take this course. Students in the Azure AI Fundamentals course begin with basic knowledge of computing and Internet concepts and demonstrate an interest in using Azure AI services.

Specifically:

  • Experience using computers and the Internet.
  • Interest in use cases for artificial intelligence applications and Machine Learning models.
  • Desire to learn through hands-on exploration.

 

Level: Beginner - Product: Azure - Role: Technical and non-technical profiles interested in AI

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Course duration:
70 hours

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Access to the classroom:
2 months

 

Who is this course for?

This course is aimed at:

  • Business professionals and non-technical profiles who want to understand the potential of AI.
  • Students and IT professionals seeking a solid introduction to AI in Azure.
  • Business managers, sales, marketing, or product managers involved in AI projects.
  • People willing to start in Artificial Intelligence without prior technical requirements.

Prior experience in Microsoft Azure or developing AI solutions is not necessary, although basic familiarity with digital environments and technology in general is recommended.

 

Elements of the AI-901 collection from Microsoft Learn

  • Artificial intelligence concepts for developers and technology professionals (6 modules)
  • Introduction to artificial intelligence applications and agents in Azure (6 modules)

 

Course content: Introduction to AI in Azure - Program

Unit 1. Introduction to AI

What is AI

  • AI workloads
  • Responsible AI principles

Introduction to artificial intelligence in Azure

  • Microsoft Azure
  • Microsoft Foundry
  • Microsoft Foundry endpoints

Practicals:

  • Explore a basic AI agent
  • Introduction to Microsoft Foundry

Unit 2: Introduction to AI and agents

Introduction to generative AI and agents

  • What is generative artificial intelligence?
  • Generative AI models
  • What are agents?

Introduction to generative AI and agents in Azure

  • Microsoft Foundry models
  • Using a generative AI model
  • Creating agents

Practicals:

  • Generative AI exploration
  • Introduction to Microsoft Foundry

Unit 3: Introduction to text analysis

Introduction to natural language processing concepts

  • What is natural language processing (NLP)?
  • Text preprocessing
  • Language models and text analysis

Introduction to text analysis in Azure

  • Azure Language in Microsoft Foundry tools
  • Using the Azure Language SDK
  • Using Azure Language in an agent

Practicals:

  • Text analysis exploration
  • Getting started with Azure Language in Foundry Tools

Unit 4: Introduction to AI voice solutions

Introduction to voice AI concepts

  • Voice-enabled solutions
  • Speech recognition
  • Speech synthesis

Introduction to voice AI in Azure

  • Implementing speech recognition
  • Implementing speech synthesis
  • Creating a speech-capable agent

Practicals

  • AI voice exploration
  • Introduction to voice in Microsoft Foundry

Unit 5: Introduction to Computer Vision

Introduction to Computer Vision concepts

  • Computer Vision tasks and techniques
  • Computer Vision models
  • Image and video generation

Introduction to Computer Vision in Azure

  • Multimodal models for image analysis
  • Image and video generation models

Practicals

  • Computer vision exploration
  • Introduction to Computer Vision in Microsoft Foundry

Unit 6: Introduction to information extraction

Introduction to information extraction concepts

  • What is information extraction?
  • Optical character recognition (OCR)
  • Field extraction and mapping

Introduction to information extraction in Azure

  • Extracting information from documents
  • Extracting information from audio and video

Practicals

  • Information extraction exploration
  • Introduction to information extraction in Microsoft Foundry

 

Language

  • Course: English / Spanish
  • Labs: English / Spanish

 

Associate Microsoft Certification: Azure AI Fundamentals

Certificación de Microsoft

Microsoft Certification: Azure AI Fundamentals

The AI-901 course prepares for the official Microsoft Azure AI Fundamentals certification

Level: Beginner
Role: AI Engineer
Product: Azure
Subject: Artificial Intelligence

 

 

If you want to take this course virtually you can purchase it at the top of the product. If you have any questions, please contact us.

If you want to take this course in-person or via telepresence, please contact us:

 

Nanfor is a custom ICT training center, specialized in technological training for professionals and companies, and is officially approved by Microsoft as:

  • Microsoft Solutions Partner – Training Services
  • Microsoft Cloud Partner

These approvals certify that Nanfor meets official Microsoft standards for delivering technical training, using official content and Microsoft Certified Trainers (MCTs), ensuring quality, continuous updates, and alignment with official certifications.

 

Frequently Asked Questions

Which certification replaces the AI‑900 course?

The AI‑901: Introduction to AI in Azure course is the official replacement for the AI‑900 course, maintaining its introductory focus but aligned with the evolution of Artificial Intelligence services in Microsoft Azure and Microsoft Learn.

Do I need prior knowledge of Artificial Intelligence or programming?

No. The course is designed for people with no previous experience in AI or programming. Only basic familiarity with digital environments and technology is recommended.

Is this course technical or business-oriented?

AI-901 has a conceptual and practical approach, valid for both technical and non-technical profiles. It allows you to understand how AI is applied in Azure without the need to develop complex models.

What type of AI solutions will I learn to identify with this course?

You will learn to recognize different types of AI workloads, such as:

  • Machine learning
  • Computer vision
  • Natural language processing
  • Generative AI
  • And to identify which Azure services best fit each case.

Does this course prepare you to continue advancing in Microsoft certifications?

Yes. AI-901 provides a solid foundation to continue with more advanced training in Data, AI, and Azure, both at a technical and strategic level.

What is the duration and format of the course?

The training is virtual - remote learning with support always by your side. It is held in the Nanfor virtual classroom, with access for 2 months and the possibility of extending for one more month (not available for subsidized training).

In-person or live-remote training can also be conducted upon request.

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