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โข Introduction to Cloud Computing for Food Logistics Optimization: generic course overview, objectives, and scope
โข Data Cloud Framework: understanding the structure and architecture of data storage and computation in cloud environment
โข Cloud Security and Compliance: ensuring secure and compliant cloud operations in food supply chain
โข Restaurant ORDER TO-CLOUD Integration: understanding how to integrate restaurant ordering system with cloud-based inventory and tracking systems
3.3.3 CC3: Cloud-based Food Order Management: cloud-based solutions for food order management, including food ordering, receiving, and tracking
4.4.3 CC5: Cloud-based Warehouse Management: cloud-based solutions for warehouse management, including inventory management, tracking, and control
3.3.3 CC4: Cloud-based Food Delivery Management: cloud-based solutions for food delivery management, including delivery tracking, routing, and scheduling
3.4.4 CC4: Applying Machine Learning and AI to Food Logistics: using machine learning and AI algorithms to optimize food logistics, including demand forecasting, inventory optimization, and route optimization
3.4.4 CC5:3 Cloud-based Data Analytics for Food Service Quality: cloud-based data analytics for food service quality assessment, including food quality monitoring, quality control, and quality improvement
5.4.4 CC55:4 Cloud-based Food Safety and Quality Management: advanced cloud-based solutions for food safety and quality management, including food safety tracking, quality control, and quality improvement
5.5.4 CC4:4 Cloud-based Food Supply Chain Visibility: cloud-based solutions for food supply chain visibility, including visibility of inventory, orders, and deliveries
4.5.5 CC3.5:4 Cloud-based Training and Certification: comprehensive training and certification program for cloud-based applications in food logistics, including hands-on training, tests, and certification assessment
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