Free Coupon Code Microsoft Azure AI Fundamentals (AI-900) Practice Test 100% OFF

Free Coupon Code Microsoft Azure AI Fundamentals (AI-900) Practice Test 100% OFF
Free Coupon Code Microsoft Azure AI Fundamentals (AI-900) Practice Test 100% OFF

Udemy Free coupon code for Microsoft Azure AI Fundamentals (AI-900) Practice Test course taught by MD ZAHEDUL ISLAM, which has 1,239 students and is rated 0.0 out of 0 votes. This course is about in English and was updated on June 08, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Master the Basics of Artificial Intelligence and Azure Cognitive Services—No Experience Needed

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Artificial Intelligence (AI) is no longer science fiction—it's powering applications in healthcare, finance, manufacturing, marketing, education, and even entertainment. The AI-900: Microsoft Azure AI Fundamentals certification is your entry point into the world of AI and cloud-based intelligence.

This course is designed for absolute beginners—you don’t need any background in coding, data science, or cloud computing. Whether you’re a business professional looking to understand AI from a strategic perspective, a student exploring career options, or a tech enthusiast eager to learn, this course will equip you with a strong, practical foundation in AI concepts and hands-on experience using Microsoft Azure AI services.

You’ll not only prepare for the Microsoft Certified: Azure AI Fundamentals exam but also develop real-world knowledge of how AI is transforming industries and how you can be part of this transformation.


By the end of this course, you’ll be able to:

Understand the Core Concepts of Artificial Intelligence

  • Define AI and explain its various types and capabilities

  • Recognize common AI workloads like computer vision, speech, natural language processing, and predictive analytics

  • Differentiate between AI, Machine Learning, and Deep Learning

Grasp the Basics of Machine Learning

  • Understand the life cycle of a machine learning model

  • Learn key concepts such as features, labels, training, and evaluation

  • Distinguish between supervised, unsupervised, and reinforcement learning

Get Hands-On with Azure AI Services

  • Navigate Microsoft Azure’s AI tools without writing code

  • Use Azure Cognitive Services to analyze text, images, speech, and language

  • Explore services like Azure Machine Learning, Azure Bot Service, and Azure OpenAI

Explore Real-World AI Use Cases

  • Discover how organizations apply AI in customer service, marketing, healthcare, and finance

  • Learn to identify the right AI service for solving specific business problems

Learn the Principles of Responsible AI

  • Understand Microsoft’s AI ethics framework

  • Learn how to identify and mitigate bias, ensure fairness, and maintain transparency in AI solutions

Course Content Breakdown

Module 1: Introduction to AI Concepts

  • What is Artificial Intelligence?

  • AI vs. Machine Learning vs. Deep Learning

  • Real-world examples and industry applications

  • The impact of AI on jobs and the economy

Module 2: Machine Learning in Azure

  • Supervised and unsupervised learning

  • Model training, evaluation, and prediction

  • Introduction to Azure Machine Learning Studio (no-code environment)

  • AutoML and drag-and-drop model creation

Module 3: Computer Vision

  • Image classification and object detection

  • Face recognition and facial analysis

  • Optical Character Recognition (OCR)

  • Using Azure AI Vision and Face API

Module 4: Natural Language Processing (NLP)

  • Text analytics: sentiment, key phrases, and language detection

  • Language translation using Azure Translator

  • Question answering and language understanding (LUIS and Azure Language Service)

Module 5: Speech Capabilities

  • Speech to text and text to speech conversion

  • Real-time translation and voice recognition

  • Using Azure Speech Studio for hands-on demos

Module 6: Conversational AI

  • Introduction to chatbots and digital assistants

  • Building no-code bots using Azure Bot Framework and Power Virtual Agents

  • Integrating bots into websites and apps

Module 7: Responsible AI

  • Ethics and fairness in AI development

  • Privacy, security, and compliance considerations

  • Microsoft’s six principles of responsible AI

Module 8: Preparing for the AI-900 Exam

  • Exam format and question types

  • Study tips and practice resources

  • Sample exam walkthrough and tips for success


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