This course is designed to help you learn and apply advanced data tools for IIoT and smart manufacturing. The curriculum ranges from foundational concepts to in-depth, hands-on activities using production data, and covers a variety of cutting-edge approaches such as deep reinforcement learning control, encryption for data outsourcing, and predictive data analytics algorithms.
This course may be taken individually or as part of the Professional Certificate Program in Design & Manufacturing Or the Professional Certificate Program in machine learning & artificial Intelligence.
Explore the latest developments in smart manufacturing
Through interactive lectures and exercises—grounded in data and examples from the automotive, semiconductor, food production, nanofabrication, and telecommunications sectors—you will acquire core strategies and frameworks for using data driven analysis, simulation, automation, and optimization techniques to improve manufacturing processes and deploy IIoT systems. You will then put your learning into action by working with other course participants to design, simulate, and test system improvements based on information extracted from process and production data.
- The curriculum is organized into four sections:
- Data collection strategies for IIoT
- Data analytics and predictive modeling for production data
- Simulation modeling through digital twinning
- Process and manufacturing systems simulation and optimization
Certificate of Completion from MIT Professional Education
