Foundations of AI Agents

(1.5 Credits)

This hands-on course gives MBA students a practical foundation in generative and agentic AI. Students will work directly with neural networks, embeddings, transformers, and large language models (LLMs). The students will learn how to build AI agents that are capable of learning by interacting with the environment, planning, and making automated business decisions. Students will explore recent advances in reinforcement learning and AI simulators that undergird agentic AI systems. Through applied projects, students will develop working mental models and learn to prototype and evaluate AI tools for real business problems. The course prepares students to lead the implementation and integration of AI systems for large-scale decision-making.