Back to Generative AI and LLMs: Architecture and Data Preparation
Learner Reviews & Feedback for Generative AI and LLMs: Architecture and Data Preparation by IBM
291 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
VK
Oct 17, 2024
I am pretty much new to NLP data preparation. However this course made me comfortable with Date preparation activities.
JR
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
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