This rapid communication presents a multi-step workflow for recreating existing course lectures using artificial intelligence (AI) and natural language processing (NLP). The workflow encompasses audio extraction from original lectures, transcript refinement via ChatGPT and human proofreading, audio regeneration through text-to-speech, closed captioning, presentation recreation with AI-generated content, and the development of supplementary resources like study guides and AI chatbots. The implemented approach leverages AI to enhance educational accessibility and personalization while balancing automation with human oversight. Potential benefits include tailored learning experiences and data-driven decision-making. However, ethical considerations surrounding AI biases, intellectual property, privacy, and misinformation must be carefully addressed before deployment. Overall, the workflow demonstrates AI's transformative potential in education.