This course explores the application of AI in smart manufacturing and industrial automation environments. It covers predictive maintenance, process optimization, digital twins, and edge AI solutions that enable intelligent, autonomous, and data-driven factories.
Fundamental Topics
Introduction to Industry 4.0 concepts, AI basics, IoT integration, sensors, data collection, and analytics.
Industry 4.0 concepts
Sensors & IIoT
Data acquisition
Intermediate Topics
Intermediate AI for Industry 4.0 covering predictive maintenance, smart manufacturing, data-driven decision-making, automation, digital twins, and process optimization.
Predictive maintenance
Process optimization
Digital twins
Advanced Topics
Advanced AI topics include transformers, reinforcement learning, generative AI, multimodal models, model interpretability, optimization, and ethical considerations.
Autonomous factories
AI-driven robotics
Edge AI in manufacturing
Course Outcomes
Enable learners to apply AI technologies for smart automation, predictive maintenance, and optimized Industry 4.0 processes.