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AI-901: Azure AI Fundamentals - Complete Exam Prep 2026
Rating: 4.6 out of 5(30 ratings)
167 students

AI-901: Azure AI Fundamentals - Complete Exam Prep 2026

Master AI, ML, Computer Vision, NLP, Generative AI & Azure AI services - fully updated for the AI-901 exam in 2026
Created bySandeep Soni
Last updated 6/2026
English
English [Auto],

What you'll learn

  • Identify and explain the core types of AI workloads and select the appropriate Azure AI service for each use case
  • Describe how machine learning models are trained, validated, and deployed in real-world AI pipelines
  • Implement and configure Azure Computer Vision solutions for image analysis, object detection, and optical character recognition
  • Apply Azure Language and NLP services for text analytics, sentiment analysis, entity recognition, and language understanding
  • Build and evaluate Azure Speech AI solutions for speech-to-text, text-to-speech, and real-time transcription scenarios
  • Explain how large language models work and apply Azure OpenAI Service within generative AI applications
  • Map all six Microsoft Responsible AI principles to real AI system design and deployment decisions in Azure
  • Navigate the Microsoft Azure AI Foundry ecosystem and understand how LLMs and agents are developed and managed
  • Analyse common AI workload patterns across industries and match them to the correct Azure AI service architecture
  • Complete the AI-901 certification exam with confidence by mastering every topic in the current 2026 exam objectives

Course content

6 sections29 lectures6h 33m total length
  • About this Course5:37
  • AI Concepts and Intro to Azure AI11:40

    Define artificial intelligence, its capabilities, and the ethical principles of responsible AI. Explore six AI workloads and the four pillars—predict, decide, converse, see—plus azure Foundry integration.

  • AI Workloads20:31
  • Principles of Responsible AI17:39
  • Explore AI Agents10:57

    Explore AI agents through a browser-based model, learning how local hardware affects inferencing, model choices, and how chatbots like ChatGPT operate as stateless, generative AI.

  • About Microsoft Azure8:31
  • Microsoft Foundry30:43

Requirements

  • No prior Artificial Intelligence or machine learning experience is required
  • Basic familiarity with technology concepts and general computing is helpful
  • A Microsoft Azure account is recommended for following along with service demonstrations (free tier is sufficient)
  • Interest in AI, cloud computing, or preparing for the Microsoft AI-901 certification
  • No Azure certifications or programming experience needed to begin

Description

The AI-901 certification is Microsoft's newest validation of practical AI knowledge — and in 2026, it is becoming a baseline expectation for cloud professionals, developers, and anyone building with Azure. This course prepares you to pass it with confidence while giving you the real-world AI foundation that goes far beyond the exam itself.

This is a complete, structured course covering every objective in the AI-901 exam — from core AI and machine learning concepts to Azure AI services for computer vision, natural language processing, speech, and generative AI — alongside responsible AI principles and practical implementation patterns used across industries today.

Built by Sandeep Soni, a corporate trainer with over 30 years of technology training experience and 20+ Microsoft certifications, this course reflects the teaching approach that has helped more than 500,000 IT professionals across the USA, UK, Australia, and the Middle East build practical, job-ready technical skills.

Every lesson is designed around real-world implementation, architectural understanding, and hands-on demonstrations rather than slide-based theory. Sandeep's philosophy is simple: decision training, not tool training. Instead of merely showing features and commands, he focuses on helping students understand why technologies work the way they do, how they fit into real engineering workflows, and how to make informed technical decisions in production environments.


What makes this course different?

Most AI-901 prep courses are either too brief to build real understanding or too theoretical to be useful after the exam. This course takes a different approach — every concept is explained clearly, grounded in real Azure service examples, and structured so that what you learn for the exam is directly applicable in a professional Azure environment. You will not just memorize definitions. You will understand how AI actually works in Azure and why it matters.

The course is fully updated for the 2026 exam objectives, covering the Microsoft Foundry ecosystem, large language models, and generative AI capabilities that are now a core part of the AI-901 syllabus and were absent from earlier AI-900 preparation materials.

What you will master, topic by topic:

AI and Machine Learning Fundamentals — Build a solid conceptual foundation in artificial intelligence and machine learning before touching any Azure service. You will understand the difference between training and inference, how ML models learn from data, and the key workload types that appear consistently across the exam and in real projects.

Azure AI Services — Explore the full range of Azure AI capabilities: computer vision for image analysis and object detection, natural language processing for text analytics and language understanding, and speech services for audio-to-text and text-to-audio workflows. You will understand what each service does, when to use it, and how it maps to real business scenarios.

Generative AI and Large Language Models — Understand how large language models work, what Azure OpenAI Service provides, and how generative AI capabilities are integrated into modern Azure applications. This is among the most heavily tested areas of the current AI-901 exam and is covered in full depth here.

Responsible AI Principles — Microsoft's Responsible AI framework is an exam requirement and a professional standard. You will learn all six principles — fairness, reliability, privacy, inclusiveness, transparency, and accountability — and how they apply to the design and deployment of AI systems in Azure.

Certification Readiness — Every section is mapped directly to the AI-901 exam objectives. By the end of the course, you will know which concepts to expect, how questions are typically framed, and how to approach the exam with confidence.

Your transformation:

By completing this course, you will hold a clear, working understanding of how artificial intelligence is implemented across the Azure platform — not as an abstract concept, but as a set of real services with real capabilities. You will be ready to sit the AI-901 exam and to contribute meaningfully to AI-enabled projects in any cloud or technology role.

Whether you are a developer, cloud professional, IT administrator, or business professional working alongside technical teams, the knowledge you build here will give you a credible foundation in one of the most in-demand skill areas in enterprise technology today.

Enroll now and take the first step toward your AI-901 certification.

Who this course is for:

  • Beginners and students starting their journey in Artificial Intelligence who want a structured, exam-aligned foundation in Azure AI
  • Cloud professionals and Azure practitioners who want to formalise their AI knowledge and earn the AI-901 certification
  • Developers and software engineers building applications who want to understand how to integrate Azure AI services into real projects
  • IT administrators, solution architects, and technical professionals working in Microsoft Azure environments
  • Business professionals and product managers working alongside AI and data teams who need a clear, practical understanding of what Azure AI can and cannot do
  • Anyone preparing specifically for the Microsoft AI-901: Introduction to AI in Azure certification exam ShareArtifactsClaude code course optimized listingDocument · MD Project contentUdemy Competitor Research & Course Content Update Created by youAdd PDFs, documents, or other text to reference in this project.ContentClaude Code Deep Dive.docxdocxClaude Code Deep Dive.docxdocxAI-901.docxdocxRequirements Basic programming knowledge in any language (Python, Java, JavaScript, etc.) Comfort with the command line / terminal A GitHub account (free is fine) A Claude paid account (we'll show you how to set it up) Description Stop using AI like a chatbot. Start engineering with it. The wapasted