This eBook provides a step-by-step guide for building and deploying scalable deep learning and machine learning models using serverless architectures with Azure. Learn to code machine learning into your projects using Python and pretrained models that include image and speech recognition and classification. Explore issues around deployment and continuous delivery, including scaling, security, and monitoring.
Maps that precisely plot road signs, traffic lights, lanes, and sidewalks within a few centimeters—that’s the sort of data-intensive information required to make Bertrandt’s self-driving car project HARRI a reality. And it took Microsoft Azure Services to tame the tremendous flood of data needed to drive HARRI, as a small map’s worth of data with this level of detail would overwhelm the vehicle’s on-board storage capabilities. Azure DevOps facilitated the creation of the exacting software for this solution by coordinating the work of development, operations, and quality assurance teams.