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Learner Reviews & Feedback for Generative AI Engineering and Fine-Tuning Transformers by IBM

4.4
stars
29 ratings

About the Course

The demand for technical gen AI skills is exploding. Businesses are hunting hard for AI engineers who can work with large language models
(LLMs). This Generative AI Engineering and Fine-Tuning Transformers course builds job-ready skills that will power your AI career forward.
During this course, you’ll explore transformers, model frameworks, and platforms such as Hugging Face and PyTorch. You’ll begin with a
general framework for optimizing LLMs and quickly move on to fine-tuning generative AI models. Plus, you’ll learn about parameter-efficient
fine-tuning (PEFT), low-rank adaptation (LoRA), quantized low-rank adaptation (QLoRA), and prompting. Additionally, you’ll g...
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1 - 5 of 5 Reviews for Generative AI Engineering and Fine-Tuning Transformers

By Sajjad

•

Nov 17, 2024

The coding part in the labs provided in this course was very helpful and helped me to stabilize my learning.

By Uwiragiye B

•

Dec 4, 2024

Awesome

By Roger K

•

Jan 17, 2025

The labs all too often failed on environment issues - packages, version alignment, etc. This should be seamless in your controlled environment.

By Alexandre E

•

Jan 2, 2025

The course is good but lacks depth on complex subjects.

By Jens H

•

Jan 25, 2025

In general I find the videos very hard to understand due to the mechanical reading of the texts and way too high tempo, and quite a big amount of grammatical errors subtract from the general readability.