Design an AI system around a defined user and evidence need
Computing, Communication & Enterprise · Computer Science & Artificial Intelligence
AI-330Applied AI Systems
Builds AI-enabled applications using models, retrieval, tools, evaluation, guardrails, and human review within a documented system architecture.
Course outcomes
What students develop
Integrate retrieval, tools, structured outputs, and human review
Develop evaluation sets and failure analyses
Document privacy, security, provenance, and operational limits
Course content
Topics and questions
- Model and task selection
- Retrieval-augmented generation
- Tool use and structured workflows
- Evaluation and observability
- Safety, privacy, and governance
Methods & resources
Tools and environments
- Model APIs or local models
- Vector and document systems
- Application framework and test tools
Evaluation
Demonstration of learning
- System design
- Evaluation suite
- Working prototype
- Operational documentation
Program relationships
Where this course fits
Core
Engineering Systems & Field Automation
Develops integrated robotic, sensing, control, and operational systems for field, infrastructure, environmental, agricultural, and research contexts.
Core
Engineering Systems & Frontier Technologies
Original engineering research across instrumentation, sensing, robotics, photonics, materials, autonomy, infrastructure, and complex technical systems.
Core
Computational Intelligence & Data Systems
Combines computer science, AI, data engineering, research computing, visualization, systems thinking, and responsible application.
Core
Applied AI, Research Computing & Visualization
Advanced computational methods for research, data-intensive inquiry, AI systems, visualization, reproducibility, and decision environments.
Core
Technology Enterprise & Innovation
Connects technology strategy, venture design, product development, organizational systems, finance, partnerships, and responsible growth.
Core
Computational Systems, Communication & Enterprise
Original research on computational systems and the institutions, communications, markets, and human environments through which they operate.
Core
Applied Artificial Intelligence
Machine learning, language and multimodal models, retrieval, tools, evaluation, governance, and operational AI systems.
Course inquiry
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