返回到 Generative AI and LLMs: Architecture and Data Preparation

学生对 IBM 提供的 Generative AI and LLMs: Architecture and Data Preparation 的评价和反馈

4.7

星

405 个评分

课程概述

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!...

76 - Generative AI and LLMs: Architecture and Data Preparation 的 81 个评论（共 81 个）

创建者 Jochen G

•

Mar 20, 2025

The course is not well maintained, and rather superficial

创建者 AYA A

•

Jul 29, 2025

need live coding labs to test out the scripts

创建者 Jonas K

•

Aug 26, 2025

It basically just consists of Jupyter Notebooks without much explanation. I tried to understand the content and implement it on my own because the exercises did not help me understand it at all. As a result, it took me much longer than expected to work through the content, which disrupted my schedule. I would not recommend this course. Unfortunately, I am not aware of any better alternatives for learning about this topic.