AI Dual-Axis Transformation Practical Course: Smart Scheduling, Greenhouse Gas Inventory, and Custom AI Assistant Development

Core Skill Mastery: Establish a comprehensive knowledge framework for ML/AI and smart scheduling, understand algorithmic applicable contexts, and cultivate the ability to correctly use AI to solve scheduling issues. Problem Analysis Ability: Through scheduling problem modeling and case analysis, train participants to transform complex problems in practical fields into analyzable and computable models, enhancing systematic thinking and decision-making skills. Practical Tool Application: Through Vibe Coding and ML/AI implementation, enable participants to actively build smart scheduling systems, bridging the gap between theory and practice, and strengthening immediate operational capability. Cross-System Integration Ability: By connecting cross-system data, explaining system deployment and maintenance, cultivate participants' ability to practically integrate ML/AI scheduling models into existing systems (such as MES, ERP). Transforming Digital Mindset: Assist enterprises in nurturing seed talents with AI thinking, establishing a decision-making mindset assisted by data and algorithms, laying the groundwork for promoting intelligence and digital transformation in businesses.