AI-900 - Azure AI Fundamentals: Azure Machine Learning Fundamentals





Artificial intelligence (AI) and machine learning (ML) seem to be everywhere we look, and with each passing day, there are new breakthroughs in AI/ML technology. In this course, you will explore key features and uses of AI and ML, computer vision in Azure, and natural language processing (NLP) in Azure. Then you will discover the purpose of knowledge mining in Azure, investigate document intelligence in Azure, and examine generative AI in Azure. Finally, you’ll delve into ethical considerations for AI, challenges and risks associated with AI, and critical considerations for the design and implementation of responsible AI. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.




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AI-900 - Azure AI Fundamentals: Azure Machine Learning Fundamentals

  • provide an overview of AI features and uses
  • describe key ML features and uses
  • describe the features and purposes of computer vision with AI
  • outline the purpose of and key considerations for NLP in ML
  • provide an overview of knowledge mining and its purpose in ML applications
  • outline the role of document intelligence, including how it is leveraged in ML applications
  • describe generative AI and its uses
  • provide an overview of ethical considerations for AI
  • outline challenges and risks commonly associated with AI
  • describe key considerations for designing and implementing responsible AI


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