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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!

状态:Natural Language Processing
状态:Hugging Face
中级课程小时

精选评论

SH

4.0评论日期:Jul 22, 2025

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

SS

4.0评论日期: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.

BB

4.0评论日期:Mar 24, 2025

Too fast reading of the slides without much of explanations.

AS

5.0评论日期:Jul 31, 2025

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

JV

5.0评论日期:May 28, 2025

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

JR

5.0评论日期: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

YL

4.0评论日期:May 4, 2025

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

MI

5.0评论日期:Jun 9, 2025

Very good beginning towards trying to understand ai

G

5.0评论日期:Jan 26, 2025

Really improves knowledge and has significant insights

SK

4.0评论日期:Jul 29, 2025

I would expect more hands on and code submissions

MA

5.0评论日期:Jan 2, 2025

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

GO

5.0评论日期:Mar 2, 2025

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

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Francisco Lamadrid Gonzalez
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