This paper aims to explore the use of "Internet+" technology to flip the traditional classroom teaching model in order to better enhance students’learning outcomes in the fields of medical microbiology and immunology. Through research and practice, it has been found that the flipped classroom approach can stimulate students’ interest in learning, enhance their ability for self-directed learning, and promote deep learning. This paper will combine specific cases with the latest research findings to propose more concrete teaching strategies and suggestions, and discuss how to effectively evaluate the application effects of the flipped classroom in the teaching of medical microbiology and immunology. The goal is to provide reference and inspiration for educational reform.

The field of mechanical design and manufacturing in the modern industrial and economic development has a key importance, the current era of big data information technology, artificial intelligence has become the focus of the times around, the need to combine artificial intelligence technology with the field of mechanical design and manufacturing focus on promoting the mechanical design and manufacturing to the intelligent, flexible and sustainable development forward. This paper begins with a theoretical overview, followed by an analysis of the current status of the application of artificial intelligence in the field of mechanical design and manufacturing from machine vision, intelligent manufacturing, intelligent control, design optimization and simulation, and further analysis of its development prospects, including the trend of green manufacturing, human-computer interaction, Internet of Things deep fusion, and finally, through the application of the case and the summary, to explain that artificial intelligence is accelerating the mechanical design and manufacturing industry to the intelligent Finally, through application cases and summarization, it explains that AI is accelerating the development of machinery design and manufacturing industry to intelligentization, and expects to provide basis for related industries and fields and promote the long-term and stable development of machinery industry.