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Microsoft Certified: Azure AI Fundamentals Exams
Microsoft Certified: Azure AI Fundamentals Exams Details

As the adoption of AI continues to grow across industries, employers need proven professionals to help develop solutions for their companies. Professionals who earn the Microsoft Certified: Azure AI Fundamentals certification demonstrate their abilities in Azure services, Machine Learning and artificial intelligence concepts.

Prior Technical Skill
The Microsoft Certified: Azure AI Fundamentals exam is intended as a beginner level certification. Previous work experience in data science or AI engineering is not required. However, candidates are also expected to have broad range of technical skill. This includes experience in basic cloud concepts and client-server applications.

Exam Preparation and Topics
In general, candidates should have a thorough understanding of Azure Bot Services, Cognitive Services, and Azure Machine Learning. To successfully pass the exam, you should be able to demonstrate an understanding of the following topics:

  • AI workloads
  • Basic machine learning principles
  • Computer vision workloads
  • National Language Processing workloads
  • Generative AI workloads

Practice exam, study guides, and online learning courses may help you develop and master these skills.

Next Certification Steps
Since the Microsoft Certified: Azure AI Fundamentals certification is a beginner-level certification, professionals often begin with this certification and advance with additional steps as they pursue a career in AI. After passing the exam, candidates may go on to take the Azure Data Scientist Associate and Azure AI Engineer Associate exams.

Conclusion
Employers continue to find new ways to include AI into their companies across a variety of industries. As AI grows in demand and use, so too will the need for qualified AI professionals. Passing the Microsoft Certified: Azure AI Fundamentals certification exam is an important first step in demonstrating that you have the basic skill set needed to excel in machine learning and AI environments.

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