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Take your learning experience one step above with our Microsoft Azure AI-900 Practice Exam.

What you will learn

Students will be learning Fundamental concepts for Artificial Intelligence.

Take and pass the Azure AI-900 AI Fundamentals exam.

Learning about data preprocessing, feature engineering, model evaluation, and other essential concepts in data science and analytics within the context of AI.

Understanding the basic concepts, definitions, and history of artificial intelligence.

Familiarizing with Microsoft Azure’s AI services and tools, such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.


The Microsoft Azure AI-900: Azure AI Fundamentals certification is designed to provide a comprehensive introduction to the fundamental concepts and capabilities of artificial intelligence within the Microsoft Azure ecosystem. This certification is ideal for individuals who want to gain a foundational understanding of AI technologies and their applications in the context of Azure services.

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The AI-900 exam covers a broad range of topics, ensuring that candidates develop a well-rounded understanding of key AI concepts, machine learning principles, and how these technologies are leveraged within Microsoft Azure. The following are some key areas covered in the certification:

  1. Introduction to AI on Azure:
    • Overview of Azure AI services and their roles in building intelligent solutions.
    • Understanding the Azure AI stack and the diverse set of tools available.
  2. Machine Learning:
    • Basics of machine learning and its components.
    • Exploring Azure Machine Learning service for building, training, and deploying machine learning models.
  3. Computer Vision:
    • Introduction to computer vision and its applications.
    • Utilizing Azure Computer Vision services for image analysis and recognition.
  4. Natural Language Processing (NLP):
    • Understanding natural language processing and its significance.
    • Exploring Azure Cognitive Services for text and language processing.
  5. Conversational AI:
    • Basics of conversational AI and chatbot development.
    • Leveraging Azure Bot Services for building intelligent conversational interfaces.
  6. Responsible AI:
    • Ethical considerations in AI and responsible AI practices.
    • Addressing fairness, interpretability, accountability, and transparency in AI solutions.
  7. Azure AI Solutions:
    • Case studies and real-world examples of Azure AI implementations.
    • Hands-on experience with Azure AI services through practical scenarios.

By successfully obtaining the Microsoft Azure AI-900 certification, candidates demonstrate their proficiency in foundational AI concepts and their ability to apply these principles within the Azure environment. This certification serves as a valuable entry point for individuals looking to pursue more advanced Azure AI certifications and positions them as qualified professionals in the rapidly evolving field of artificial intelligence.