AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. This course will cover all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.


Candidates attending this course should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.


AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it’s important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.