Providing personalized and constructive feedback (written and recorded video) on discussion boards, assignments, Python coding projects in Jupyter notebooks, and written analyses, such as model training and evaluation, text-analysis pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance assessments. In this role, you will complement our asynchronous course content by: Leading engaging live sessions that engage students in discussion of machine learning, natural language processing, large language models (LLMs), and the design of AI-powered applications and agents.