Artificial Intelligence (ai) Paradigms to Practice
Explores modern programming paradigms including functional, object-oriented, and AI-assisted approaches. Students gain hands-on experience with JavaScript and TypeScript while building AI applications.
Summary
What you’ll be able to do
Demonstrate a strong understanding of functions, including core principles of functional programming.
Apply classic functional programming techniques (e.g., map, fold, filter) to effectively solve computational problems.
Analyze code statically to determine its behavior, output, and broader implications without executing it.
Apply structured natural language programming techniques when working with AI coding assistants.
Design, develop, and manage tools that support AI-assisted programming workflows.
Create and operate a dynamic development environment for effective interaction with generative AI models.
Source: UW Guide
Grade history
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Prerequisites
Course mapDeclared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals
- Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals
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- Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals
Professors
Spring 2027No instructors recorded for this selection.
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Student experience
the class
Introduction to paradigms of programming in the modern era of development. Covering multiple paradigms of language design including Functional, Object Oriented, and Natural Language (AI Assisted). Develop hands on experience with JavaScript and TypeScript and build multiple AI applications, both integrating and using these powerful new tools.
difficulty & workload
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Topics
- Programming paradigms: Functional, Object Oriented, and Natural Language (AI Assisted)
- JavaScript, TypeScript, and AI application development
Skills
- Applying functional programming techniques like map, fold, and filter to solve computational problems.
- Statically analyzing code to determine behavior and output without execution.
- Using structured natural language techniques to interact with AI coding assistants.
- Creating and operating development environments for interacting with generative AI models.
Grades
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "b14985dfbd71a8895dfa6454d5e72fe37ab72152b2e11c7102e7cbbd3e53d319",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}