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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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Innovation, Transformation, Automation

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.

Illustration of neural synapses
Machine Learning & AI

Courses

COM SCI X 450.45

Computer Vision: AI-Powered Image Understanding

This course provides a comprehensive exploration of computer vision and deep learning, equipping students with Python proficiency, image processing skills, and advanced neural network techniques to tackle real-world applications in healthcare, security, robotics, and automation through AI-driven solutions.
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COM SCI X 450.42

Deep Learning

Gain a robust understanding of deep learning through both theory and hands-on implementation, spanning domains such as computer vision, natural language processing (NLP) and graph data analysis. Explore neural network architectures, optimization techniques, and advanced models (CNNs, RNNs, GANs, GNNs). 
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COM SCI 910.1

Foundations of Generative AI

This course introduces generative AI through theory and hands-on practice, covering model evolution, practical techniques, and ethical frameworks to build, refine, and evaluate systems in real-world contexts.
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MGMT X 412.1

Fundamentals of AI in Finance

This course covers AI fundamentals in finance, Python basics, financial libraries (Numpy, Pandas, etc.), and SQL. It includes machine learning concepts, supervised/unsupervised learning, reinforcement learning, and algorithmic trading, concluding with a real-world case study application.
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