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Microsoft Azure AI Fundamentals Certification

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What is Microsoft Azure AI Fundamentals Certification about?

The Microsoft Azure AI Fundamentals exam is designed to assess your foundational knowledge of artificial intelligence (AI) and the services available on Microsoft Azure. This certification validates your understanding of AI concepts, machine learning, and cognitive services, and is ideal for individuals looking to enhance their credentials in the AI field.

Exam Format

  • Exam Code: AI-900
  • Duration: 60 minutes
  • Number of Questions: 40-60
  • Question Types: Multiple choice, multiple response, and scenario-based questions
  • Passing Score: 700 out of 1000

What are the objectives of Microsoft Azure AI Fundamentals Certification ?

Delegates will learn how to

After completing this course, students will be able to:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure
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Who is Microsoft Azure AI Fundamentals Certification for?

  • Beginners in AI: Individuals with no or minimal background in AI.
  • IT Professionals: IT professionals who want to validate their knowledge of AI solutions on Azure.
  • Students: Those who are exploring career opportunities in AI and cloud computing.
  • Decision Makers: Business leaders and managers looking to understand the capabilities of AI on Azure.
  • What are the prerequisites for Microsoft Azure AI Fundamentals Certification?

    Students don’t need to have any experience with Microsoft Azure before taking this course; however, a basic level of familiarity with computer technology, cloud computing, and the Internet is assumed. 

    • No Programming Experience Required as this is an entry-level certification, and programming experience is not necessary.

    Preparation Resources

    • Microsoft Learn: Free online learning paths and modules specifically designed for the AI-900 exam.
    • Instructor-Led Training: Courses offered by Microsoft Certified Trainers.
    • Official Practice Tests: Available through Microsoft and other certified providers.
    • Documentation and Whitepapers: Microsoft’s official documentation and whitepapers on AI and Azure services.
    Course Logo

    Microsoft Azure AI Fundamentals Certification - Certification & Exam

    This exam is intended for candidates with varying backgrounds, including those without data science or software engineering experience. However, having a basic understanding of cloud concepts and client-server applications can be beneficial. The Azure AI Fundamentals certification is valuable for preparing for other Azure role-based certifications, such as Azure Data Scientist Associate or Azure AI Engineer Associate, though it is not a prerequisite for any of them.

    The AI-900 exam measures your ability to understand and describe:

    Describe Artificial Intelligence Workloads and Considerations 

    • Identify Features of Common AI Workloads:

      • Anomaly detection workloads
      • Computer vision workloads
      • Natural language processing workloads
      • Knowledge mining workloads
    • Identify Guiding Principles for Responsible AI:

      • Fairness in AI solutions
      • Reliability and safety in AI solutions
      • Privacy and security in AI solutions
      • Inclusiveness in AI solutions
      • Transparency in AI solutions
      • Accountability in AI solutions

    Describe Fundamental Principles of Machine Learning on Azure 

    • Identify Common Machine Learning Types:

      • Regression machine learning scenarios
      • Classification machine learning scenarios
      • Clustering machine learning scenarios
    • Describe Core Machine Learning Concepts:

      • Features and labels in a dataset for machine learning
      • Training and validation datasets usage in machine learning
    • Describe Capabilities of Visual Tools in Azure Machine Learning Studio:

      • Automated machine learning
      • Azure Machine Learning designer

    Describe Features of Computer Vision Workloads on Azure 

    • Identify Common Types of Computer Vision Solutions:

      • Image classification solutions
      • Object detection solutions
      • Optical character recognition solutions
      • Facial detection, recognition, and analysis solutions
    • Identify Azure Tools and Services for Computer Vision Tasks:

      • Computer Vision service
      • Custom Vision service
      • Face service
      • Form Recognizer service

    Describe Features of Natural Language Processing (NLP) Workloads on Azure 

    • Identify Features of Common NLP Workload Scenarios:

      • Key phrase extraction
      • Entity recognition
      • Sentiment analysis
      • Language modeling
      • Speech recognition and synthesis
      • Translation
    • Identify Azure Tools and Services for NLP Workloads:

      • Language service
      • Speech service
      • Translator service
    • Identify Considerations for Conversational AI Solutions on Azure:

      • Features and uses for bots
      • Capabilities of the Azure Bot service

    Benefits of the certification 

    • Earning the Microsoft Azure AI Fundamentals certification demonstrates your commitment and foundational understanding of AI and cloud services.
    •  Enhance your resume and improve your job prospects in the growing field of AI.
    • Gain a comprehensive understanding of AI concepts and Azure services, enabling you to apply these skills in real-world scenarios.
    •  This certification serves as a stepping stone for more advanced Azure certifications, such as the Azure AI Engineer Associate and Azure Data Scientist Associate.