This course covers the critical skills to optimize, collaborate, integrate, and deploy advanced AI and machine learning system solutions. The course covers four critical capabilities to ensure robust, trusted solutions for the technical professional wanting to strengthen their applicational skills in the following areas: (1) optimizing, explaining, and coordinating multiple AI and machine learning models, (2) forming robust, repeatable, and shareable machine learning pipelines, (3) integrating the AI and machine learning models with overall system development including key technologies such as high speed messaging, real-time APIs, parallel processing, data storage, and system management technologies, and (4) orchestrating an adapting deployment across computing resources from small IOT devices to large multi-vendor cloud deployments. The course builds direct practical solutions through hands-on, project-driven assignments that forge the skills to build and deploy advanced AI systems in elastic, complex, distributed and scalable computing environments.