Learn Azure AI Fundamentals to Build and Understand Real-World AI Solutions.

This course introduces core AI concepts and common workloads such as machine learning, computer vision and natural language processing using Azure AI services. Participants learn how to identify the right Azure tools to support AI scenarios and gain foundational knowledge to start building AI-powered applications.

  • Why get trained: Learn how to identify AI workloads, use Azure AI services and understand machine learning, computer vision and NLP concepts for real-world applications.
  • Why it matters: Azure AI fundamentals enable organisations to adopt AI faster, support digital transformation and build data-driven solutions across business functions.
  • Who should attend: Aspiring AI professionals, business decision-makers and individuals with basic cloud or IT knowledge starting their journey in AI and Azure.

Build a strong foundation in Azure AI and machine learning concepts. HRD Corp Claimable.

Overview

Unlock the power of Azure AI in 2026.

This Microsoft Certified: Azure AI Fundamentals certification course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform.

The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

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Skills Covered

After completing this course, you will be able to:

  • Introduction to AI concepts
  • Introduction to machine learning concepts
  • Get started with machine learning in Azure
  • Introduction to generative AI concepts
  • Get started with generative AI in Azure
  • Introduction to natural language processing concepts
  • Get started with natural language processing in Azure
  • Get started with speech in Azure
  • Introduction to computer vision concepts
  • Get started with computer vision in Azure
  • Introduction to AI-powered information extraction concepts
  • Get started with AI-powered information extraction in Azure

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.

Specifically:

  •  Experience using computers and the internet.
  •  Interest in use cases for AI applications and machine learning models.
  •  A willingness to learn through hands-on exploration.

Target Audience

The Introduction to AI in Azure course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.

You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts.

The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Course Curriculum

Module 1: Introduction to AI concepts

  • Introduction to AI
  • Generative AI
  • Computer Vision
  • Speech
  • Natural Language Processing
  • Extract Data and Insights
  • Responsible AI
  • Module Assessment
  • Summary

Module 2: Introduction to machine learning concepts

  • Introduction
  • What is machine learning?
  • Types of machine learning
  • Regression
  • Binary classification
  • Multiclass classification
  • Clustering
  • Deep learning
  • Transformers
  • Module assessment
  • Summary

Module 3: Get started with machine learning in Azure

  • Introduction
  • Define the problem
  • Get and prepare data
  • Train the model
  • Use Azure Machine Learning Studio
  • Integrate a model
  • Exercise: Explore Automated Machine Learning in Azure Machine Learning
  • Module assessment
  • Summary

Module 4: Introduction to generative AI concepts

  • Introduction
  • What is generative AI?
  • How do language models work?
  • Understand how transformers advance language models
  • Understand differences in language models
  • Improve prompt results
  • Create responsible generative AI solutions
  • Module assessment
  • Summary

Module 5: Get started with generative AI in Azure

  • Introduction
  • Understand generative AI applications
  • Understand tools to develop generative AI
  • Understand Azure AI Foundry’s model catalog
  • Understand Azure AI Foundry capabilities
  • Understand observability
  • Exercise: Explore generative AI in Azure AI Foundry portal
  • Module assessment
  • Summary

Module 6: Introduction to natural language processing concepts

  • Introduction
  • Understand how language is processed
  • Understand statistical techniques for NLP
  • Understand semantic language models
  • Module assessment
  • Summary

Module 7: Get started with natural language processing in Azure

  • Introduction
  • Understand how natural language processing works on Azure
  • Understand Azure AI Language’s text analysis capabilities
  • Understand Azure AI Language’s conversational AI capabilities
  • Understand Azure AI Translator capabilities
  • Get started in Azure AI Foundry
  • Exercise – Analyze text in Azure AI Foundry portal
  • Module assessment
  • Summary

Module 8: Get started with speech in Azure

  • Introduction
  • Understand speech recognition and synthesis
  • Get started with speech on Azure
  • Use Azure AI Speech
  • Exercise: Explore Speech in Azure AI Foundry portal
  • Module assessment
  • Summary

Module 9: Introduction to computer vision concepts

  • Introduction
  • Overview
  • Understand image processing
  • Machine learning for computer vision
  • Understand modern vision models
  • Module assessment
  • Summary

Module 10: Get started with computer vision in Azure

  • Introduction
  • Understand Azure AI Services for Computer Vision
  • Understand Azure AI Vision – Image Analysis capabilities
  • Understand Azure AI Vision – Face Service capabilities
  • Get started in Azure AI Foundry portal
  • Exercise: Analyze images in Azure AI Foundry portal
  • Module assessment
  • Summary

Module 11: Introduction to AI-powered information extraction concepts

  • Introduction
  • Overview
  • Understand the extraction of data from images
  • Understand the extraction of data from forms
  • Understand multimodal data extraction
  • Understand data extraction for knowledge mining
  • Module assessment
  • Summary

Module 12: Get started with AI-powered information extraction in Azure

  • Introduction
  • Azure AI Services for Information Extraction
  • Extract Information with Azure AI Vision
  • Extract Multimodal Information with Azure AI Content Understanding
  • Extract Information from Forms with Azure AI Document Intelligence
  • Create a Knowledge Mining Solution with Azure AI Search
  • Exercise: Extract Information
  • Module Assessment
  • Summary

Dates & Locations

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July 3, 2026 - July 3, 2026

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July 3, 2026 - July 3, 2026

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August 14, 2026 - August 14, 2026

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August 14, 2026 - August 14, 2026

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August 14, 2026 - August 14, 2026

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October 2, 2026 - October 2, 2026

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October 2, 2026 - October 2, 2026

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November 13, 2026 - November 13, 2026

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November 13, 2026 - November 13, 2026

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November 13, 2026 - November 13, 2026

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Trainocate exam and cert

Exam & Certification

Microsoft Certified: Azure AI Fundamentals.

The Azure AI Fundamentals certification validates your foundational knowledge of machine learning and AI concepts, along with related Azure services. You earn it by passing Exam AI-901: Microsoft Azure AI Fundamentals.

Use your Azure AI Fundamentals certification as a starting point to explore deeper training for Azure technologies and to chart your path forward. Whether you’re looking to advance your career or to jump-start a new one, the message is the same: establish your foundations. Earn your certification and open up new possibilities for your career and for turning your AI and machine learning ideas into solutions on Azure.

 

Training & Certification Guide

Candidates for the Azure AI Fundamentals certification should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Frequently Asked Questions

AI-901T00 introduces the fundamentals of artificial intelligence and how it is applied using Microsoft Azure.

This course provides a foundational understanding of AI concepts, including machine learning, computer vision, natural language processing, and generative AI. It also introduces Azure services used to build AI solutions.

Key learning areas:

  • Core AI concepts and workloads
  • Azure AI services and capabilities
  • Generative AI fundamentals
  • Responsible AI principles

Pro Tip: Focus on understanding concepts and use cases rather than memorizing tools. This builds a stronger foundation for advanced learning.

It is designed for beginners, including both technical and non-technical professionals.

This course is ideal for individuals exploring AI for the first time, regardless of their background. It does not require prior experience in programming or data science.

Best suited for:

  • Students and fresh graduates
  • Business and non-technical professionals
  • IT professionals new to AI
  • Decision-makers exploring AI adoption

Pro Tip: If you are unsure where to start with AI, this course provides the safest and most structured entry point.

You will gain a foundational understanding of AI concepts and how to apply them using Azure.

The course focuses on awareness and conceptual understanding rather than deep technical implementation.

Skills gained:

  • Understanding AI workloads and use cases
  • Identifying Azure AI services
  • Recognizing AI opportunities in business
  • Understanding responsible AI practices

Pro Tip: Use this course to identify which AI domain interests you most before specializing further.

Earning a Microsoft Certification is globally recognized and industry-endorsed evidence of mastering real world skills. It shows you demonstrate proficiency in keeping pace with technology. It’s a career move that yields many positive results.

Getting a Microsoft Certification is also a great way to break into the tech industry. A Microsoft Certification immediately confers a level of authority and expertise, especially helpful for someone new to the industry.

It provides a foundation for entry-level roles and further specialization in AI and cloud.

AI-901 does not directly lead to advanced roles but helps learners understand AI concepts and identify career paths.

Possible pathways:

  • AI Engineer (with further training)
  • Data Analyst / Data Scientist
  • Cloud Engineer
  • Business Analyst (AI-focused)

Pro Tip: Use AI-901 to decide your direction, then progress into role-based certifications like AI-103, DP-750, or AI-300.

AI-901 focuses on AI fundamentals, while AI-103 and AI-300 focus on building and operating AI systems.

These courses represent different stages of the AI learning journey.

Key comparison:

  • AI-901T00:
    • Focus: AI fundamentals and concepts
    • Level: Beginner
    • Role: Entry-level / awareness
  • AI-103T00:
    • Focus: Building AI applications and agents
    • Level: Intermediate
    • Role: AI Developer
  • AI-300T00:
    • Focus: Operationalizing AI systems (MLOps/GenAIOps)
    • Level: Advanced
    • Role: AI / MLOps Engineer

Which should you choose?

  • Choose AI-901 → if you are new to AI
  • Choose AI-103 → if you want to build AI applications
  • Choose AI-300 → if you want to manage AI systems in production

Pro Tip: Follow a structured path: AI-901 → AI-103 → AI-300 to build full AI capabilities from basics to advanced.

To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners such as Trainocate Malaysia are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides:

  • An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals.
  • Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances.
  • Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed.
  • High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.

Further compliment skills gained from AI-900T00 with these recommended courses:

AZ-305T00: Designing Microsoft Azure Infrastructure Solutions

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

The AI-102T00 Designing and Implementing an Azure AI Solution training is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language and prepares learners for the Microsoft Certified: Azure AI Engineer Associate certification.

Not sure? Do check out our latest Azure Training and Certification post to know more.

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