Microsoft Certified: Azure AI Fundamentals

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Certification Details

Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. Artificial intelligence (AI) opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.

The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you’d like to:

  • Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads—and what Azure services can solve for them.
  • Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.

Skills measured

  • 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

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