人工智能训练师：在数据海洋中练就“掘金术”

Core Insights - The article discusses the emerging profession of "Artificial Intelligence Trainer," highlighting the skills required and the educational pathways available for this role. It emphasizes the importance of practical experience and the integration of industry needs into educational programs [1][7]. Group 1: Education and Training - The curriculum for "Artificial Intelligence Trainer" includes data preprocessing, algorithm design, and model training, with core courses such as machine learning and deep learning [1][3]. - Practical projects, such as collaborations with local companies, are essential for students to gain hands-on experience and develop their technical skills [2][5]. - Competitions and certifications, like the "Artificial Intelligence Trainer" certification, are integral to assessing students' skills and enhancing their employability [6][5]. Group 2: Industry Demand and Job Opportunities - The demand for AI-related roles is increasing, with new positions like "Artificial Intelligence Data Engineer" emerging as industries seek high-quality data for AI applications [4][7]. - Companies are looking for skilled personnel to support the intelligent transformation of traditional industries, creating job opportunities for graduates in various sectors [9][8]. - The integration of education and industry is crucial, as seen in programs that prepare students for immediate employment in relevant fields [8][9].