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Learner Reviews & Feedback for Generative AI Engineering and Fine-Tuning Transformers by IBM
58 ratings
About the Course
The demand for technical generative AI (GenAI) skills is increasing, and businesses are actively seeking AI engineers who can work with large language models (LLMs). This IBM course is designed to build job-ready skills that can accelerate your AI career.
In this course, you鈥檒l explore transformers and key model frameworks and platforms, including Hugging Face and PyTorch. You鈥檒l begin with a foundational framework for optimizing LLMs and quickly advance to fine-tuning generative AI models. You鈥檒l also learn advanced techniques such as parameter-efficient fine-tuning (PEFT), low-rank adaptation (LoRA), quantized LoRA (QLoRA), and prompting.
The hands-on labs will give you valuable, practical experience including loading, pretraining, and fine-tuning models using industry-standard tools. These skills are directly applicable in real-world AI roles and are great for showcasing in interviews.
If you鈥檙e ready to take your AI career to the next level and strengthen your resume with in-demand Gen AI competencies, enroll today and start applying your new skills in just one week!
Top reviews
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1 - 6 of 6 Reviews for Generative AI Engineering and Fine-Tuning Transformers
By Roger K
鈥�Jan 18, 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
鈥�Jan 3, 2025
The course is good but lacks depth on complex subjects.
By Jens H
鈥�Jan 26, 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.
By Sajjad
鈥�Nov 17, 2024
The coding part in the labs provided in this course was very helpful and helped me to stabilize my learning.
By Geetika P
鈥�Mar 26, 2025
One of the best courses for sure!!
By Uwiragiye B
鈥�Dec 5, 2024
Awesome