Udemy

AI-900: Azure AI Fundamentals + 20 Practice Tests (Dec-2025)

立即報名
  • 360 名學生
  • 更新於 12/2025
5.0
(12 個評分)
  • 提示:
  • 透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期*
全年招生
課程級別
學習模式
修業期
6 小時 43 分鐘
教學語言
英語
授課導師
Sandeep Soni
評分
5.0
(12 個評分)
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

AI-900: Azure AI Fundamentals + 20 Practice Tests (Dec-2025)

All-in-one Azure AI-900 course with full syllabus coverage, hands-on demos, and exam-ready content - Updated Syllabus

Breaking into Artificial Intelligence doesn’t have to feel overwhelming. In this course, I’ve taken everything I’ve learned from teaching thousands of students across Azure, AI, and Cloud Computing — and structured it into a simple, practical learning experience created specifically for AI-900 aspirants.

The goal of this course is very straightforward:
Help you understand AI concepts clearly, learn how Azure’s AI services work in the real world, and prepare you confidently for the AI-900 certification.

You’ll start with the absolute basics — what AI, Machine Learning, and Generative AI actually mean — and then move into hands-on examples using Azure Cognitive Services, Azure OpenAI, Responsible AI, and essential use cases that companies are implementing today.

Throughout the course, I focus on real explanations instead of jargon. Each module is broken down into small, easy-to-understand lessons so you never feel lost, even if you’re completely new to AI or Azure.

By the end of this course, you will:

  • Understand the core AI concepts tested in AI-900

  • Explore Azure AI services through guided demos

  • Learn real industry applications of Vision, NLP, and Generative AI

  • Build confidence to appear for the AI-900 exam

  • Understand how AI is being adopted across various industries

If you want a clean, structured, beginner-friendly path into AI using Microsoft Azure — this course is designed for you.

課程章節

  • 6 個章節
  • 21 堂課
  • 第 1 章 Introduction to AI in Azure
  • 第 2 章 Get Started with Machine Learning in Azure
  • 第 3 章 Get started with Generative AI in Azure
  • 第 4 章 Natural Language Processing
  • 第 5 章 Computer Vision
  • 第 6 章 Information Extraction

課程內容

  • Understand core Artificial Intelligence (AI) concepts, including machine learning types, computer vision, NLP, and responsible AI principles.
  • Work with Azure AI Services, such as Azure Cognitive Services, Azure Machine Learning, and AI–based automation tools.
  • Identify real-world business problems and map them to Azure AI solutions, gaining clarity on when and how to use AI capabilities effectively.
  • Evaluate and deploy AI models using Azure, including classification models, vision models, text analysis, and knowledge mining solutions.
  • Apply best practices of responsible AI, including fairness, transparency, accountability, and privacy considerations.
  • Analyze AI workloads, understand their components, and determine suitable Azure services to implement them.
  • Understand cloud-based ML pipelines, automated ML concepts, and how AI integrates with enterprise applications.
  • Prepare confidently for the AI-900 certification exam through conceptual learning, demos, and real-time case studies.


評價

  • N
    Nexus E Learning
    5.0

    Great content. very clear and to the point

  • S
    Saketh Gajula
    5.0

    This course is well-structured, exam-focused, and beginner-friendly. I highly recommend it to anyone preparing for the AI-900 certification.

  • K
    Kurra Chaithanya
    5.0

    The content is informative and explained in a clear, understandable way.

  • S
    Siddanthapu Bhargavi
    5.0

    Great Session!

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