This series of courses is divided into basic, advanced, advanced and practical parts. The advanced design can meet the learning needs and ability development needs of learners at different levels.
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Basics: Use of Large Models
Objectives: solve problems encountered in work and study through the use of large models, and improve problem-solving abilities
Courses: use of foreign large models (ChatGPT), Use of domestic large models ( Wen Xin Yi Yan, Tong Yi Qian Wen, Zhi Pu Qing, etc.)
Advanced: Use of AI Digital Tools
Objectives: use AI digital tools to improve the efficiency of work and learning, solve the problem of ability improvement beyond job/professional abilities and output of results
Courses: generating pictures from text, content creation, data processing, PPT production, generating video from text, etc.
Advanced: Digital Innovation and Utilization
Objectives: use low code to realize data visualization analysis, solve the problem of massive data analysis in various industries, and improve the management and operation capabilities of various industries and positions in the actual work processCourses: low code Development tools, data visualization analysis courses, and data analysis practices in various industries (application scenarios such as finance, industry, agriculture, logistics, electricity, and sales)
Practical Chapter: AI Assistant
Objectives: use large models to assist coding and graduation projects, solve work ability and coding problems in graduation project projects
Courses: use large models to assist group coding, use large models to assist graduation design, etc.
This course is an online course, and learners can make flexible learning arrangements according to their learning needs and time conditions.
Course Entrance: Neusoft IT Cloud School (https://study.neutech.cn)