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AI-900: Microsoft Azure AI Fundamentals

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Find out more about AI-900: Microsoft Azure AI Fundamentals

The AI-900: Microsoft Azure AI Fundamentals course provides a beginner-friendly introduction to artificial intelligence (AI) and its applications using Microsoft Azure. It is designed for individuals with both technical and non-technical backgrounds who want to understand the core concepts of AI, including machine learning, computer vision, natural language processing (NLP), and conversational AI. The course covers how these technologies are implemented on Azure through services like Azure Machine Learning, Cognitive Services, and Azure Bot Services. Learners gain foundational knowledge of responsible AI practices, use cases, and how to leverage Azure tools to build simple AI solutions. It serves as preparation for the AI-900 certification exam and is ideal for those starting their journey into AI and cloud technologies. 

Duration
6–8 hours
Fees
$399.00
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About AI-900: Microsoft Azure AI Fundamentals

  • Understand what AI is and how it is used in real-world scenarios.

  • Learn the differences between AI, machine learning, and deep learning.

  • Explore types of machine learning like supervised and unsupervised learning.

  • Get introduced to Azure Machine Learning for building and training models.

  • Discover how AI can analyze images with computer vision services.

  • Learn to use Azure Cognitive Services for facial recognition and object detection.

  • Understand natural language processing (NLP) and its use in text analysis.

  • Work with Azure Text Analytics and Translator services for language understanding.

  • Build simple chatbots using Azure Bot Service and Language Understanding (LUIS).

  • Learn the principles of responsible and ethical AI use.

  • Explore Azure's AI services like Cognitive Services and Bot Framework.

  • Prepare for the AI-900 certification exam with basic labs and practice questions.

Course Contents

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  • Understand what AI is and its common applications.
  • Identify AI workloads: prediction, classification, anomaly detection, recommendation systems.
  • Compare AI to traditional software approaches.
  • Azure Cognitive Services: Vision (Computer Vision, OCR), Speech (Speech-to-Text, Text-to-Speech), Language (LUIS, Text Analytics), Decision (Personalizer, Anomaly Detector).
  • Conversational AI: Build chatbots using Azure Bot Service and Language Understanding (LUIS).
  • Azure Cognitive Search: Implement AI-powered search solutions.
  • Understand machine learning concepts and types of ML (supervised, unsupervised, reinforcement learning).
  • Explore Azure Machine Learning for building, training, and deploying ML models.
  • Understand ML lifecycle: data preparation, model training, evaluation, and deployment.
  • Introduction to Responsible AI practices.
  • Implement ethical AI and responsible AI principles.
  • Consider fairness, privacy, security, transparency, and accountability.
  • Explore Azure AI solutions for business problems.
  • Recognize AI limitations and suitable scenarios.

Eligibility of the course

  • ✅ No technical experience required – suitable for both technical and non-technical learners.
  • ✅ Basic understanding of cloud computing concepts (Azure knowledge is helpful but not required).
  • ✅ Interest in AI concepts such as machine learning, NLP, and computer vision.
  • ✅ Familiarity with basic data concepts (optional, but useful for understanding examples).
  • ✅ Ideal for business users, students, managers, or developers starting in AI.


Key takeaways

  • Comprehensive Study material
  • Access to Practice tests
  • Access to LMS course content
  • Access to course assignments
  • Industry-relevant case-studies




Course features

Instructor-led live online or offline classroom training

Comprehensive coverage of all exam objectives

Expert-led video lessons and guided tutorials

Practice exams with detailed answer explanations

Downloadable study guides and cheat sheets

Real-world scenarios to build practical skills

Interactive quizzes to reinforce learning outcomes

Course Benefits

Provides a strong foundational understanding of AI concepts and how they are applied on Azure.

Covers AI workloads, machine learning basics, and Azure AI services.

Validates your knowledge for roles such as AI Analyst, Business Analyst, Cloud Consultant, or AI Enthusiast.

Helps in starting a career in AI and cloud technologies.

Microsoft certification is globally recognized and respected by employers.

Shows proficiency in AI concepts and Azure AI services, even without coding experience.

Gain practical experience with Azure Cognitive Services, Azure Machine Learning, and Conversational AI.

Understand how to deploy AI solutions in real-world scena

  • Serves as a stepping stone to AI-102: Azure AI Engineer Associate and other advanced Azure certifications.


Ideal for beginners or non-developers.

Focuses on conceptual understanding, AI principles, and practical application of Azure AI services.

FAQs

Asked Questions & Answer

 The AI-900 exam is designed to assess foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts on Microsoft Azure. Passing the exam earns the Microsoft Certified: Azure AI Fundamentals certification. 

Beginners interested in AI and cloud technologies.

Professionals exploring AI solutions on Azure, including developers, business decision-makers, or technical consultants.

No prior programming or AI experience is required, but familiarity with cloud concepts is helpful.

No formal prerequisites.

Recommended: Basic understanding of cloud concepts and AI terminology.

  • Demonstrates foundational knowledge of AI and Azure AI services.
  • Useful for career growth in AI-related roles or cloud-focused positions.
  • Helps prepare for more advanced certifications, such as AI-102: Azure AI Engineer Associate.


  • No, AI-900 is a fundamentals-level exam.
  • Focuses on concepts, principles, and Azure AI services rather than coding.


  • Microsoft certifications are generally valid for 1 year.
  • Renewal is done through a free online assessment on Microsoft Learn.


 Yes. AI-900 is an entry-level certification designed for beginners. Basic familiarity with cloud concepts helps, but prior Azure experience is not required. 

Azure Cognitive Services: Vision, Speech, Language, Decision APIs

Azure Machine Learning: Build and deploy ML models

Conversational AI: Chatbots and language understanding (LUIS)

No programming experience is required.

The exam focuses on conceptual understanding, AI workloads, and Azure AI service capabilities.

Demonstrates AI and cloud fundamentals to employers.

Provides a foundation for advanced Azure AI certifications like AI-102 (Azure AI Engineer Associate).

Useful for roles such as AI analyst, business analyst, or cloud consultant.

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