Machine Learning & AI
Machine Learning & AI
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 X 450.4
Machine Learning Using Python
Learn machine learning origins, principles, and practical applications, as well as implementation via the Python programming language. Students will learn to train a model, evaluate its performance, and improve its performance.
COM SCI X 450.41
Machine Learning Using R
Learn machine learning origins, principles, and practical applications, as well as implementation via the R programming language. Students will learn to train a model, evaluate its performance, and improve its performance.
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.
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).
COM SCI X 455
Generative AI with Applications in Python
This course immerses students in the world of generative artificial intelligence (GenAI) and covers high-level browser-based tools, emphasizing the Python code behind them.