This module delves into the foundational concepts and practical workflows of machine learning within the Azure ecosystem. Learners explore common machine learning types, understand the structure of datasets, and evaluate models using key metrics such as AUC and FPR. The module further introduces Azure’s no-code tools such as AutoML and ML Designer, guiding learners through the complete lifecycle of model creation—from data registration to deployment—without requiring programming expertise. Through visual and automated experiences, learners will develop a solid grasp of how to build, train, and deploy models efficiently in Azure Machine Learning.

This module explores how Microsoft Azure supports a wide range of AI services focused on perception and interaction. Learners will gain foundational knowledge of computer vision, natural language processing (NLP), and conversational AI workloads. They will examine practical applications, explore relevant Azure services, and understand how to build solutions using tools like Computer Vision, Text Analytics, and Azure Bot Services—enabling intelligent interactions through visual recognition, text comprehension, and conversational interfaces.