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Generative AI Lab

3-0-9 units · Graduate

Pairs student teams with host organizations to solve real-world business challenges using generative AI. Emphasizes strategic implementation and practical application, requiring teams to build working end-to-end prototypes on top of LLM APIs rather than focusing on pure theory or research. Students gain experience with modern AI engineering tools and methods as pertinent to their projects including: AI evals, RAG/vector databases, agentic workflows and frameworks, prompt engineering, and coding assistants like Claude Code and Cursor. Students are expected to be proficient in Python or TypeScript to contribute meaningfully to technical deliverables. Application required for admission.

Spring 2003 · Information Technology as an Integrating Force in Manufacturing

Topics

  • Course Introduction
  • Should the General Manager Care to Learn IT?
  • Re-Positioning the Value Proposition Through IT
  • Aligning Programs and Processes The MIT View of the Firm
  • Electronic Markets and Supply Change Management
  • Designing an Industry-wide Information Architecture (I): “Under the Hood” of a Commercial Website
  • Designing an Industry-wide Information Architecture (II): Transaction Streams
  • A View Into the Future: Web Technologies Basics and the Semantic Web
  • SAP in Manufacturing What Should the CEO Know About ERPs?
  • Aligning IT and the Organization: Role of Artificial Intelligence and Other Forecasting Technologies
  • The Little-man Computer
  • Introduction to Databases, Data Modeling and XML
  • Designing an Industry-wide Information Architecture (III): Computer Security/Cryptography
  • Strategic Framing: Broadband Technologies and the Information Value-chain
  • Course Closure

Readings

Prerequisites & course information

Prereq: Permission of instructor G (Spring) 3-0-9 units

Sources