UCLA Anderson MGMT298D

Science and Strategy of Artificial Intelligence

This course demystifies artificial intelligence for a non-technical audience. We go light on math and heavy on intuition. The goal is for you to build an appreciation for how underlying AI models work and how they unlock value from data in practice. We will explore various AI models using a mix of fully pre-written Python code and interactive web apps -- no prior coding experience is needed.

We will cover machine learning, reinforcement learning, neural networks, computer vision, and large language models (LLMs). We'll pay special attention to how LLMs are trained and aligned, and how the underlying technology shapes the economics and market structure of today's AI industry. We'll also build a tiny LLM along the way.

The course culminates in a product sprint where you'll build an AI-powered app deployed on the web, showcasing your skills and serving as a memento of the course.

Hand-drawn neural network diagram with connected input, hidden, and output nodes.

Term Spring 2026 - 4 units - in person

Time Mondays, 1:00-3:50pm

Location G419

Instructor Auyon Siddiq

Product Sprint

Weekly Modules

Machine Learning
Deep Learning
Product Sprint

    Evaluation

    60% Assignments
    35% Product Sprint
    5% Peer Evaluation

    Teaching Team