At the end of this course, you’ll understand:

• An overview of AI applications in smart manufacturing.
• Data acquisition from sensors, machines, and IoT devices.
• Predictive analytics and anomaly detection in equipment performance.
• Computer vision for defect detection and production line monitoring.
• Edge computing and real-time decision systems.
• Building machine learning models using industrial datasets.
• Integration with cloud platforms (Azure IoT, AWS Greengrass, etc.).
• Security and privacy in connected industrial systems.
• Case studies from automotive, energy, and consumer goods sectors.
• Hands-on labs for implementing industrial AI solutions.