Back to Generative AI and LLMs: Architecture and Data Preparation

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

4.7

stars

412 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

Jul 22, 2025

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

Mar 2, 2025

I love the structure and the content in this course. I can't wait applying the skills I have acquired!

Filter by:

26 - 50 of 82 Reviews for Generative AI and LLMs: Architecture and Data Preparation

By Edgar H F

•

May 6, 2025

Excellent information. Highly recommended.

By Md H H

•

Oct 1, 2024

This course is excellent for learning AI.

By Rai S

•

Dec 19, 2025

good course to take to start with GenAI

By Jose D

•

Jan 17, 2025

Excellent. Labs are particularly great

By Adolfo A

•

Jun 16, 2025

Muy claro, la traduccion es perfecta

By carlos s

•

Apr 2, 2025

Excellent information and practice

By fatemeh m

•

Aug 25, 2025

I great and well-written course

By Khaled R

•

Jan 29, 2025

Easy to follow and understand!

By rafael j g c

•

Sep 22, 2025

Excelente formación.

By Raini

•

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 Krittika S

•

Dec 27, 2025

Super Content.

By Roshani S

•

Oct 17, 2025

Superb content

By Mohammed A R

•

Mar 5, 2025

Great Course:)

By Sapthashree

•

Oct 1, 2024

Amazing Course

By Srinivas

•

Dec 14, 2025

Good content

By Aditya P

•

Nov 21, 2025

Good content

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

•

May 12, 2025

Very nice

By Sai L

•

Feb 3, 2026

All good