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IBM

Generative AI and LLMs: Architecture and Data Preparation

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!

Status: Natural Language Processing
Status: Recurrent Neural Networks (RNNs)
IntermediateCourse6 hours

Featured reviews

GO

5.0Reviewed Mar 2, 2025

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

SK

4.0Reviewed Jul 29, 2025

I would expect more hands on and code submissions

SH

4.0Reviewed Jul 22, 2025

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

JV

5.0Reviewed May 28, 2025

The course was great. Very clear and insightful, and made with passion

AS

5.0Reviewed Jul 31, 2025

gives a clear overview on genai - basics specifically tokenization, & data loader concepts

IE

5.0Reviewed Dec 26, 2025

I have learned so much from this course and I can't wait to start my AI career.

G

5.0Reviewed Jan 26, 2025

Really improves knowledge and has significant insights

JR

5.0Reviewed 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

EA

5.0Reviewed Jan 24, 2026

this course is great but I need the digital badges to be added to Credly, how can I do that?

SS

4.0Reviewed Nov 11, 2025

Labs could have been made a little more lucid and comprehensive with comments for unusual syntaxes and appropriate visuals for the subject matter. Great course, regardless.

MA

5.0Reviewed Jan 2, 2025

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

UH

5.0Reviewed Jun 6, 2025

Easy to follow course with good clarification of complex concepts. Thanks to IBM and to course team.

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