Course Overview
Deploy large-scale industrial automation. Implement predictive maintenance machine learning algorithms, manage fleets of autonomous mobile robots (AMRs), and integrate enterprise ERP systems.
Course Curriculum & Modules
01Module 1: Machine Learning for Predictive Maintenance
02Module 2: AMR Fleet Management Software Architecture
03Module 3: SAP / Oracle ERP to Smart Factory Integration
04Module 4: Enterprise Industrial Security (OT/IT Cybersecurity)
05Module 5: Multi-Factory Automation Strategy
Automation Engineering Department Pathway
Automation Engineering bridges robotics, industrial sensors, PLC logic controllers, SCADA smart factory integration, and enterprise-wide predictive maintenance algorithms for Industry 4.0 factories.
Computer & Hardware Requirements
Processor:Intel i7/i9 or AMD Ryzen 7/9
Memory (RAM):32 GB RAM
Graphics Card:High-end dedicated GPU
Storage:512 GB SSD
Display:1080p / 4K display
Key Learning Outcomes & Benefits
- ✓Deploy AI-driven predictive maintenance models.
- ✓Manage autonomous robot fleets in factory environments.
- ✓Integrate industrial automation systems with SAP / Oracle ERPs.
- ✓Optimize total cost of ownership (TCO) for factory equipment.