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学生对 IBM 提供的 Generative AI Engineering and Fine-Tuning Transformers 的评价和反馈

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89 个评分

课程概述

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’ll explore transformers and key model frameworks and platforms, including Hugging Face and PyTorch. You’ll begin with a foundational framework for optimizing LLMs and quickly advance to fine-tuning generative AI models. You’ll 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’re 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!...

热门审阅

SS

Nov 16, 2024

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

AE

Jan 1, 2025

The course is good but lacks depth on complex subjects.

筛选依据：

1 - Generative AI Engineering and Fine-Tuning Transformers 的 11 个评论（共 11 个）

创建者 Roger K

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Jan 17, 2025

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

创建者 Jens H

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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.

创建者 Alexandre E

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Jan 2, 2025

The course is good but lacks depth on complex subjects.

创建者 Sajjad

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Nov 17, 2024

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

创建者 Mike S

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Oct 1, 2025

Interesting ways for LLM fine-tunning

创建者 Geetika P

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Mar 25, 2025

One of the best courses for sure!!

创建者 ايمان ا ر

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Jun 17, 2025

Thank you

创建者 Uwiragiye B

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Dec 4, 2024

Awesome

创建者 FRANCISCO J M S

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Sep 30, 2025

La traducción automática no es precisa con ciertos términos.

创建者 john l

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Aug 17, 2025

The lab constantly ffails due to long loading of pip, performance issues

创建者 Conor J C

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Aug 10, 2025

Very difficult to understand course videos. Far to much technical jargon which can easily confuse the listener. Found it very frustrating to complete this and irriated over-emphasis on technical specifics. Do not recommend!!!!