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Learner Reviews & Feedback for Generative AI Engineering and Fine-Tuning Transformers by IBM
20 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 get valuable hands-on experience in online labs that you can talk about in interviews, including loading, pretraining, and fine-tuning models with Hugging Face and PyTorch.
If you’re keen to take your AI career to the next level and boost your resume with in-demand gen AI competencies that catch the eye of an employer, ENROLL today and have job-ready skills you can use straight away within a week!
Top reviews
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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.