Build a practical foundation in artificial intelligence and learn how AI workloads are implemented with Microsoft Azure services while preparing for the AI-900 Microsoft Azure AI Fundamentals certification. You’ll explore essential AI and machine learning concepts, common AI workloads, dataset structures, model types, and evaluation metrics such as AUC and FPR.

Designed for beginners, business users, and technical decision-makers, this course requires no programming expertise. You’ll learn to identify suitable AI use cases, apply Microsoft’s responsible AI principles, and understand fairness, accountability, transparency, and security in AI solutions. Through hands-on examples and service walkthroughs, you’ll configure an Azure Machine Learning workspace, use AutoML, and construct no-code machine learning pipelines with Azure ML Designer. You’ll also examine computer vision, natural language processing, and conversational AI using Computer Vision, Text Analytics, Azure Bot Services, and QnA Maker. By the end of the course, you’ll be able to differentiate machine learning approaches, interpret model performance, build and deploy no-code models as web services, analyze text, identify computer vision services, and design conversational bots. Its combination of AI-900 exam alignment, responsible AI guidance, and visual, no-code Azure workflows makes this course a focused path to understanding and applying Azure AI.