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Back to Generative AI and LLMs: Architecture and Data Preparation

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

4.6
stars
282 ratings

About the Course

Ready to explore the exciting world of generative AI and large language models (LLMs)? This IBM course, part of the Generative AI Engineering Essentials with LLMs Professional Certificate, gives you practical skills to harness AI to transform industries. Designed for data scientists, ML engineers, and AI enthusiasts, you’ll learn 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’ll also discover how LLMs, such as generative pretrained transformers (GPT) and bidirectional encoder representations from transformers (BERT), power real-world language tasks. Get hands-on with tokenization techniques using NLTK, spaCy, and Hugging Face, and build efficient data pipelines with PyTorch data loaders to prepare models for training. A basic understanding of Python, PyTorch, and familiarity with machine learning and neural networks are helpful but not mandatory. Enroll today and get ready to launch your journey into generative AI!...

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.

JR

Feb 28, 2025

Was waiting for a course like this for a long time. Very happy with it. Library installation on labs seems a bit slow

Filter by:

26 - 50 of 63 Reviews for Generative AI and LLMs: Architecture and Data Preparation

By Fatemeh S M

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Aug 25, 2025

I great and well-written course

By Khaled R

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Jan 29, 2025

Easy to follow and understand!

By Raini

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Apr 18, 2025

Excellent course!

By Manvi G

•

Oct 1, 2024

Excellent Course!

By Niveditha

•

Aug 21, 2025

Excellent course

By Harshith

•

Jan 23, 2025

its very useful

By Mohammed A R

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Mar 5, 2025

Great Course:)

By Sapthashree

•

Oct 1, 2024

Amazing Course

By Rajashree P

•

Oct 1, 2024

Good content

By Anek P

•

Aug 28, 2025

Good course

By Sana S

•

Jul 4, 2025

Fantastic

By Ghulam M

•

May 31, 2025

very Good

By MENNO S

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May 12, 2025

Very nice

By IP W K

•

Aug 6, 2025

nice

By Nagesh

•

Jun 26, 2025

good

By FRANCISCO J M S

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Aug 9, 2025

Algo rápido en las explicaciones de videos complejos, especialmente los que contienen código que se presenta en bloques de manera instantánea. Uso de botón de pausa muy recomendado para asimilar mejor el contenido que se presenta.

By SHAFIQ H

•

Jul 23, 2025

his course is sufficient to introduce the different architectures of LLMs and enable you to prepare data for training models.

By Abhimukta B

•

Oct 20, 2024

I highly recommend using a human to deliver the lectures, which might enhance student engagement. Great introductory course.

By Yi L

•

May 5, 2025

This is a fairly easy course, focusing on introducing the high-level concepts, without too much hands-on practices

By 조한슬

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Oct 30, 2024

I think it is too easy to get certification. The difficulty of the examination should be increased.

By Biswadip B

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Mar 25, 2025

Too fast reading of the slides without much of explanations.

By Shubham K

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Jul 30, 2025

I would expect more hands on and code submissions

By Muhammad A A

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Mar 13, 2025

It was good introductor course

By Aswani K V

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Jan 4, 2025

very useful for beginners