Generative AI Part 2

Coursera MOOC / Non-credit USD 49

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Generative AI Part 2

About this course

Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various fields. The course emphasizes key principles in model building, optimization, and real-world generative AI use cases.

What you'll learn

understand advanced concepts of neural networks
analyze applications of generative AI
learn about transformers and large language models
explore model building and optimization techniques

Course objectives

equip students with knowledge of generative models
enable students to apply theoretical concepts in real-world scenarios
foster an analytical approach towards AI applications

Skills you'll gain

deep learning machine learning large language models model optimization transformers ai applications neural networks feedback mechanisms generative models data generation

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