Open House: AI System Architecture and Large Language Model Applications
AI is reshaping every industry. Do you have the architecture to keep up?
Every organization is talking about AI. Far fewer know how to build it well.
Deploying large language models that actually deliver business value takes more than a working knowledge of the technology. It takes a clear understanding of how AI systems are architected from the ground up, and the hands-on experience to put that into practice.
That is the gap MIT's AI System Architecture and Large Language Model Applications course was built to close.
Over five days, David Martinez will take you through the full AI development pipeline, from data input to deployment, and you will leave having designed and built a real LLM application alongside peers from across industries.
What you will dig into:
- The full AI pipeline — Every building block of system design, from data architecture and LLM development to testing, evaluation, and deployment
- Responsible AI in practice — How to build systems that hold up legally, ethically, and operationally
- A hands-on LLM project — Design and implement a real application, then present it to working AI practitioners
- Systems engineering fundamentals — Practical frameworks for building, maintaining, and scaling complex AI initiatives
- Immediate application — Whether you lead a team, own a product, or set direction at the executive level, the frameworks you learn apply on Monday morning
The course runs July 13-17, 2026, on campus at MIT in Cambridge.
Join our virtual open house to:
- Meet David Martinez and hear directly about his approach to teaching
- Walk through the curriculum and the hands-on LLM project
- Get a sense of whether this course fits where you are in your career
- Ask anything during live Q&A
Reserve your spot and come see what a week at MIT actually looks like.