Coursera
MOOC / Non-credit
0
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.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Artificial Intelligence
#deep learning
#machine learning
#large language models
#model optimization
#transformers
#ai applications
#neural networks
#feedback mechanisms
#generative models
#data generation
$49.00
Price shown by Coursera — confirm on their site.
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