AI in Education for Corporate Training

The gap between employer demands and the skills highlighted on resumes reveals a major flaw in traditional university education. The current one-size-fits-all approach leaves graduates unprepared for the fast-evolving job market. To address this, we are developing an AI-powered personalized learning platform tailored to corporate training. This platform utilizes a machine learning model that analyzes individual resumes to generate customized course maps based on the user’s unique background and career goals. By aligning educational pathways with specific job requirements, it caters to the growing need for job-specific programs, especially among Gen Z. A Logistic Regression Model is trained on resume datasets to predict suitable professions for users, while tools like Gensim and TensorFlow help construct personalized knowledge graphs of relevant courses. Various graph-based algorithms like PageRank, SimRank, and HITS are used to generate an optimized study map, considering course difficulty and prerequisites. This innovative approach offers a significant leap in helping job seekers refine their skills and meet employer expectations. The platform's findings could ultimately be integrated into corporate training programs, enhancing workforce development and addressing the shortcomings of traditional education systems.