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Learner Reviews & Feedback for Generative AI and LLMs: Architecture and Data Preparation by IBM

4.7
stars
135 ratings

About the Course

This IBM short course, a part of Generative AI Engineering Essentials with LLMs Professional Certificate, will teach you the basics of using
generative AI and Large Language Models (LLMs). This course is suitable for existing and aspiring data scientists, machine learning engineers,
deep-learning engineers, and AI engineers. You will learn about the types of generative AI and its real-world applications. You will gain the
knowledge to differentiate between various generative AI architectures and models, such as Recurrent Neural Networks (RNNs), Transformers,
Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and Diffusion Models. You will learn the differences...
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Top reviews

VK

Oct 17, 2024

I am pretty much new to NLP data preparation. However this course made me comfortable with Date preparation activities.

MA

Jan 2, 2025

It was very informative and I enjoyed the journey I learned the patterns from the deep.

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26 - 28 of 28 Reviews for Generative AI and LLMs: Architecture and Data Preparation

By Sailesh M

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Jan 16, 2025

Labs don't work as torchtext is deprecated and doesn't run on Python 3.12 kernel

By Fan Y

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Oct 15, 2024

Tokenizer & dataloader are quite important parts but I am surprised by how shallow they are touched and how easy are the quiz questions.

By Serhii S

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Nov 8, 2024

very superficial