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Microsoft Azure AI Fundamentals (AI-900)

Categories: AWS
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About Course

🎯 Course Overview

This course is designed for individuals seeking foundational knowledge of Artificial Intelligence (AI) and how it’s implemented using Microsoft Azure services. Whether you’re a student, IT professional, or aspiring data scientist, this course will guide you through key AI workloads and help you prepare for the Microsoft AI-900 certification exam.

📘 Course Description

Microsoft Azure AI Fundamentals (AI-900) is a beginner-friendly course aimed at teaching you the core concepts of artificial intelligence and machine learning as applied through Microsoft Azure. You’ll explore real-world AI applications like computer vision, natural language processing, and generative AI using Azure’s suite of powerful tools and services.

You’ll also understand responsible AI principles and how Microsoft ensures fairness, privacy, security, and inclusivity in AI solutions. This course prepares you for the AI-900 certification exam, a key stepping stone for advanced AI certifications and Azure-based roles.

Microsoft Azure AI Fundamentals Exam Summary:

Note: To ensure success in Microsoft MCF Azure AI certification exam, we
recommend authorized training course, practice test and hands-on
experience to prepare for Microsoft Azure AI Fundamentals (AI-900) exam.
Exam Name Microsoft Certified – Azure AI Fundamentals
Exam Code AI-900
Exam Price $99 (USD)
Duration 65 mins
Number of Questions 40-60
Passing Score 700 / 1000

Microsoft AI-900 Exam Syllabus Topics

 Module1):- Describe Artificial Intelligence workloads and considerations.
 Module2) Describe fundamental principles of machine learning on Azure.
 Module 3) Describe features of computer vision workloads on Azure.
 Module4) Describe features of Natural Language Processing (NLP)
workloads on Azure.
 Module5) Describe features of generative AI workloads on Azure.

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What Will You Learn?

  • 🔍 Understand Core AI Concepts
  • Grasp the basics of artificial intelligence workloads like computer vision, NLP, knowledge mining, and generative AI.
  • 🧠 Explain Responsible AI Principles
  • Learn Microsoft's guidelines for fairness, privacy, transparency, accountability, and inclusivity in AI solutions.
  • 🤖 Identify Machine Learning Techniques
  • Distinguish between regression, classification, clustering, and deep learning scenarios.
  • ⚙️ Work with Azure AI Services
  • Get familiar with tools like Azure Machine Learning, Azure AI Vision, Azure AI Language, and Azure OpenAI.
  • 🧾 Explore Real-world AI Applications
  • Understand how AI is used in content moderation, sentiment analysis, facial recognition, and document intelligence.
  • 🛠️ Prepare for AI-900 Certification
  • Master the official syllabus, practice exam-style questions, and get exam-ready with confidence.
  • 🗣️ Describe Natural Language Processing Workloads
  • Learn how Azure handles key phrase extraction, translation, speech recognition, and sentiment analysis.
  • 🧬 Explore Generative AI Capabilities on Azure
  • Understand how Azure OpenAI powers text, image, and code generation use cases.

Course Content

Module1) Describe Artificial Intelligence workloads and considerations (15-20%)

  • You Will Learn

Module2) Describe fundamental principles of machine learning on Azure (20-25%)

Module 3) Describe features of computer vision workloads on Azure (15-20%)

Module4) Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)

Module5) Describe features of generative AI workloads on Azure (15-20%)

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