MH
5.0Reviewed Apr 30, 2025
Good material. Easy to accomplish length.Hands on project instruction was helpful!
course is good but why certificate is missing, is there any procedure to get certificate. please guide me.
Finetuning Large Language Models
In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results. When you complete this course, you will be able to: Understand when to apply finetuning on LLMs Prepare your data for finetuning Train and evaluate an LLM on your data With finetuning, you’re able to take your own data to train the model on it, and update the weights of the neural nets in the LLM, changing the model compared to other methods like prompt engineering and Retrieval Augmented Generation. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.
Status: Prompt Engineering
Status: Data Preprocessing
IntermediateProject2 hours
Featured reviews
BB
5.0Reviewed Jan 24, 2024
Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
RK
5.0Reviewed Sep 21, 2024
It was a great course, short and crisp on topic with hands on side by side
MK
4.0Reviewed Dec 19, 2024
very good course to get high level overview how things can be done
LK
5.0Reviewed Oct 26, 2025
really good course to get started and understand what actually finetuning is, and why do we need it. it is structured pretty well
AD
5.0Reviewed Jul 10, 2025
The knowledge acquired in the course will be very helpful to me on my field.
PR
5.0Reviewed Oct 10, 2024
Very helpful to get basic knowledge of fine-tuning LLMs.
MD
5.0Reviewed Nov 24, 2023
Excellent zoom in from high level to the more detail. Makes me feel like diving in even more into the finetuning of LLMs
SS
5.0Reviewed Nov 9, 2023
Right on point for someone looking to start learning about LLM finetuning
AC
5.0Reviewed Dec 24, 2023
Course was presented well and focused. It was easy to follow Labs notebooks and they worked.
DP
5.0Reviewed Jun 12, 2024
Basic but concrete and useful for understanding the concept.
EC
4.0Reviewed Mar 15, 2024
Muy Instructivo con conceptos importantes sobre fintuning que no tenia previamente
All reviews
Showing: 20 of 82
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Most Helpful
Pratik BANSODE
3.0
Reviewed Nov 1, 2023Neal Gandhi
4.0
Reviewed Dec 23, 2023Please Give in this Certificate
Mohammad Fares
2.0
Reviewed Feb 9, 2024Lamini requires an API key, which can be discouraging for the open-source community.
himanshu shukla
2.0
Reviewed Feb 8, 2024not a good experience, i mean she did'nt elaborated it
Tsvetan Krastev
5.0
Reviewed May 20, 2025I really like the enthusiastic and engaging way in which Ms. Sharon Zhou explains the concepts. Her excellent articulation makes it easy for even non-native English speakers to grasp every detail effortlessly. Thank you for the course—it was insightful and well-structured!
Harbhajansingh Bishnoi
5.0
Reviewed Jun 24, 2025A powerful technique to adapt LLMs for specific tasks or domains. Boosts performance and personalisation, but requires quality data, compute resources, and careful evaluation. Best used when general models fall short.
Zaheen Rahman
5.0
Reviewed Mar 2, 2024A very detailed course on finetuning; helped me understand in data preparation and training process. The evaluation and iteration video was especially useful. Thank you for the free course! Greatly appreciated.
Brian (Yanbin) Bai
5.0
Reviewed Jan 25, 2024Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
Quankamon Dejatiwongse Na Ayudhya
5.0
Reviewed Jul 25, 2025I learned overview of LLM finetuning from almost zero and was able to have meaningful discussion with AI tech people e.g. whether to go fore fine-tuning or not, how to gather data for fine-tuning.
Chester Gingrich
5.0
Reviewed Jun 30, 2024An "intro" course that is great for folks with only a little bit of experience in using LLMs. Great start to begin getting into the "good" stuff!
Paul McCraken
5.0
Reviewed Nov 26, 2023Great course to learn about fine tuning, what it is, what it can accomplish and what the fundamental steps are in being able to achieve it.
Lakshya Kumar
5.0
Reviewed Oct 27, 2025really good course to get started and understand what actually finetuning is, and why do we need it. it is structured pretty well
Marc Dierckx
5.0
Reviewed Nov 25, 2023Excellent zoom in from high level to the more detail. Makes me feel like diving in even more into the finetuning of LLMs
Hryhoriy Muzychuk
5.0
Reviewed Apr 26, 2025Good presentation of the material, the topic was researched and analyzed in sufficient depth. Thank you for the course.
Johan Fernandes
5.0
Reviewed Dec 12, 2023Excellent course and a nice pre-cursor to understanding why and when we need to perform finetuning.
Andrejus Chaliapinas
5.0
Reviewed Dec 25, 2023Course was presented well and focused. It was easy to follow Labs notebooks and they worked.
Mark Hodgson
5.0
Reviewed May 1, 2025Good material. Easy to accomplish length.Hands on project instruction was helpful!
Alfred Dauda
5.0
Reviewed Jul 11, 2025The knowledge acquired in the course will be very helpful to me on my field.
RAJ KASAUDHAN
5.0
Reviewed Sep 22, 2024It was a great course, short and crisp on topic with hands on side by side
Daniel Benninger
5.0
Reviewed Jun 20, 2024Excellent Overview with lots of hands-on insights for further experiments