Chemical Engineering Fundamentals and AI for Process Optimization

Are you looking to build a robust foundation in chemical engineering while also understanding how modern artificial intelligence techniques are transforming the field? This course provides aspiring engineers and professionals with the core knowledge of chemical reaction engineering, thermodynamics, process control, and transport phenomena, integrating an introduction to AI and machine learning for enhanced problem-solving and optimization. What you'll learn: Understand core concepts in chemical reaction engineering, including reactor types and kinetics. Grasp the fundamental laws of thermodynamics and their application to energy and material balances. Apply principles of heat, mass, and momentum transfer for analyzing fluid flow and separation processes. Learn the basics of process control, including feedback loops and controller design. Explore foundational artificial intelligence and machine learning concepts relevant to engineering data. Practice applying these engineering and data science principles to solve practical scenarios. The course begins with foundational definitions and theories across chemical reaction engineering, thermodynamics, and transport phenomena, then progresses to practical process control methods and an introduction to data-driven approaches using AI and machine learning for process analysis. This course is designed for beginners with no prior experience in chemical engineering or advanced programming, seeking to build a comprehensive understanding of the field and its modern technological extensions. Begin your journey into the world of chemical engineering and data-driven process optimization today.