Back to Generative AI and LLMs: Architecture and Data Preparation

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

4.6

stars

374 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 29, 2025

I would expect more hands on and code submissions

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.

Filter by: