Teaching
I teach intuition first, code second. Each topic starts with the problem it solves, shown with examples, then the categories of solutions, then small Python examples that make the idea concrete. Students leave with working code and a reason for every line of it.
Fall 2026
MSA 8770 · Enterprise AI Design and Implementation
Seven modules from LLM foundations to production: orchestration (Strands, Claude Agent SDK), human-in-the-loop, event-driven systems, CI/CD, governance, and security. Field projects with the BBB partnership.
MSA 8030 · Communicating with Data
Turning analysis into decisions: visual design, narrative, and presenting to non-technical audiences.
IFI 8410 · Programming for Business
Asynchronous Python for business graduate students.
Spring 2027
MSA 8600 · Deep Learning and Generative AI
Neural networks, transformers, and generative models, with business applications.
MSA 8700 · Building Generative AI Business Solutions
Agentic AI focus: from prompts and retrieval to multi-agent systems that solve business problems.
Industry programs
AI Governance Bootcamp for Truist
A virtual introduction to LLMs, RAG, and agents, followed by a hands-on session on agentic security and governance.
Working with students
I supervise graduate research assistants and MSA student teams on the projects listed under Research. If you are an MSA student interested in agentic systems or the BBB work, email me.