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Machine Learning & AI

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Learn about the latest in artificial intelligence.

Artificial intelligence (AI) mimics the human capacity for problem-solving. Machine learning (ML) is the branch of AI that trains on and learns from existing data to deliver relevant results. UCLA Extension offers expert-led courses exploring both. 

Enhance your understanding or advance your career with our offerings designed for enthusiasts and professionals alike. Whether you're looking for a deep-dive into the technical aspects of ML or to explore the ethical and policy implications of AI, we have the perfect courses for you.

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Machine Learning & AI

Courses

COM SCI 810.04

Aerospace AI Capstone — Secure, Deployable System Design

This capstone course guides students through the design and presentation of a pilot-ready AI solution for a real aerospace problem. Students integrate workflow design, AI tools, deployment strategy, governance, UI/UX, and risk controls into an executive-ready system concept.

COM SCI 910.3

Agentic AI and Autonomous Systems

Learn to design and deploy agentic AI systems using CrewAI, Google ADK, and n8n. The course blends theory with hands-on builds, covering architectures, evaluation, security, and scalable automation to produce production‑ready workflows for real‑world business challenges.
COM SCI 810.02

AI Concepts to Structured Execution — From Insight to Workflow Design

This hands-on course helps students turn AI concepts into structured, auditable workflows. Using real aerospace use cases, students experiment with AI tools to design human-in-the-loop processes with defined inputs, outputs, checkpoints, guardrails, and escalation paths.

MGMT X 413.1

AI Essential Components

Understanding the basic functionality of hardware, software, network, and database components is crucial in AI systems. This foundational knowledge is essential for effective implementation of AI solutions and engagement with the technologies.
MGMT X 413.3

AI for Product Management

This course equips student with the latest knowledge to integrate AI/ML into the product development lifecycle, from model selection to deployment, and to automate and accelerate workflows.