This paper explores the automatic generation technology for online English course content based on natural language processing (NLP). A modular system is designed, encompassing data collection and preprocessing, content generation, quality control, and user interface modules. The system leverages advanced NLP models such as BERT and GPT-3 to achieve high-quality automatic generation of English course content. Experimental results show that this technology significantly outperforms traditional methods in metrics like BLEU-4 and METEOR, with marked improvements in both content quality and generation efficiency. Through optimizations such as model quantization and dynamic batching, efficient resource utilization and dynamic scalability are achieved. The study indicates that this NLP-based content generation technology offers innovative solutions for online English education, with broad application prospects.