This four-course Specialization provides a practical, end-to-end introduction to Microsoft Azure, spanning core infrastructure, data analytics, and applied artificial intelligence. Learners progress from configuring secure Azure environments and virtual networks, to processing and analyzing data with modern analytics tools, and finally to building, training, and deploying machine learning models using Azure Machine Learning and Cognitive Services. The curriculum emphasizes hands-on implementation and standardized industry practices, including Microsoft’s Team Data Science Process, preparing learners to make informed technical decisions and deliver resilient, scalable cloud solutions aligned to real organizational needs.

Applied Learning Project

Projects center on realistic, role-based scenarios where learners engage in AI-assisted dialogues, guided role-play, and open-ended problem solving to design Azure solutions for infrastructure, data analytics, and machine learning use cases. Learners interpret requirements, choose appropriate Azure services, deploy working resources, and justify their decisions, simulating the kinds of technical conversations and trade-offs faced by cloud practitioners in production environments.