The Big Data Analytics course teaches students about artificial intelligence and big data analysis, covering the development of AI and its relationship with big data analysis. The course covers the entire data processing and modeling process for big data analysis, including data collection, processing, conversion, loading, algorithms, and model training. Verified optimization techniques, post-modeling testing accuracy and completeness testing, and display and interpretation of data analysis results. The Smart Logistics course teaches smart manufacturing, Internet of Things architecture, sensor and identification technology, and smart logistics technology. This course will cover the theoretical foundations of smart manufacturing and smart logistics, practical case studies, identification techniques, and introduction to academic articles on smart logistics to develop students' skills and talents in the field.