Finally, artificial intelligence.
The theme of this lecture was “Empowering Career Development, Unlocking New Technological Opportunities.” The teacher systematically explained the core application scenarios of AI, such as smart office work, industrial automation, data analysis, and intelligent services. He also introduced specific job roles: algorithm engineer, data annotator, AI trainer, intelligent system operator, and more. The requirements and prospects for each role vary, but they all share one thing in common—a solid foundation in computer science and logical thinking skills. The teacher said that AI is deeply integrating into all walks of life. It’s not just tech companies using it—healthcare, education, finance, and even agriculture are adopting AI technologies. This means there will be many career options in the future, but at the same time, higher demands are placed on practitioners because you have to keep learning. Technology updates so quickly—it might change entirely in a year or two. I realized that AI does bring many new opportunities, but it’s not something anyone can easily step into. If you really want to pursue this path, you need to start building a solid foundation now, in areas like math, programming, and data analysis.