AI-Driven Automation and Planning

Catalog description

This course examines the theoretical foundations and practical methodologies for automating complex workflows using both symbolic and data-driven AI techniques. Students will explore classical planning formalisms, Large Language Model (LLM)-guided task planning, and workflow orchestration and scheduling to design, implement, and govern end-to-end automated systems. The course also includes topics such as process mining, multimodal and IoT-driven automation. Ethical, security, and regulatory considerations are integrated throughout, preparing graduates to lead responsible AI automation initiatives across diverse sectors.