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

4.7

stars

205 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

Oct 18, 2024

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

Mar 1, 2025

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

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26 - 47 of 47 Reviews for Generative AI and LLMs: Architecture and Data Preparation

By Manvi G

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Oct 1, 2024

Excellent Course!

By Harshith

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Jan 23, 2025

its very useful

By Mohammed A R

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Mar 5, 2025

Great Course:)

By Sapthashree

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Oct 1, 2024

Amazing Course

By Rajashree P

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Oct 1, 2024

Good content

By Ghulam M

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May 31, 2025

very Good

By MENNO S

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May 12, 2025

Very nice

By Praveen P R

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Dec 12, 2024

I agree that the course material contained a lot of relevant information and found it highly informative. However, having a human instructor walk through the code step by step would have elevated it to a phenomenal level. The robotic video presentations and interspersed readings weren't as engaging; a fully human-led video-audio format throughout would have been much more effective.

By Abhimukta B

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Oct 21, 2024

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

By Yi L

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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 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

By Justin R

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Oct 27, 2024

The content in the lectures is complex but the slides are not made available to download. Also the Cheat Sheets and other similar materials are presented in weird "windows" that also do not make them available for download. This is a first for me in a Coursera course and I'm find it not very conducive to learning. These material should be easily available. Not certain I will complete the full Specialization if the materials are not made available.

By Yongchang L

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Jul 14, 2024

I found the course on LLMs to be a solid introduction, particularly appreciating the cheatsheet and experiments included. However, the requirement to purchase a $49 certificate to complete the course felt excessive. The course producer should learn from many other courses on Coursera, completing the course should be free with the option to purchase the certificate as an add-on.