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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:Hugging Face
状态:Generative Adversarial Networks (GANs)
中级课程小时

精选评论

BB

4.0评论日期:Mar 24, 2025

Too fast reading of the slides without much of explanations.

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!

SK

4.0评论日期:Jul 29, 2025

I would expect more hands on and code submissions

VK

5.0评论日期:Oct 17, 2024

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

JV

5.0评论日期:May 28, 2025

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

AB

4.0评论日期:Oct 20, 2024

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

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.

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

IE

5.0评论日期:Dec 26, 2025

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

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

EA

5.0评论日期:Jan 24, 2026

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

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Francisco Lamadrid Gonzalez
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Ishan Bhalla
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tedidharma learn
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Javier Real Valdés
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