Ai-900: Describe Artificial Intelligence Workloads And Considerations
 

Many teams want to use AI, but struggle to choose the right workload for the job and to evaluate risks early, especially when deciding between vision, language, document processing, and generative AI.
What you'll learn
Many teams want to use AI, but struggle to choose the right workload for the job and to evaluate risks early, especially when deciding between vision, language, document processing, and generative AI. In this course, AI-900: Describe Artificial Intelligence Workloads and Considerations, you'll gain the ability to identify the right AI workload for a scenario and explain the Responsible AI principles that guide safer solutions. First, you'll explore the core workload categories: computer vision, natural language processing, document processing, and generative AI. Next, you'll discover how those workloads map to Azure AI services through quick, visual demonstrations. Finally, you'll learn how to apply Microsoft's Responsible AI principles to reason through scenarios and make better design choices. When you're finished with this course, you'll have the skills and knowledge of AI-900 AI workloads and Responsible AI needed to confidently handle exam-style scenarios and pass the AI-900 exam.