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Learner Reviews & Feedback for AI Capstone Project with Deep Learning by IBM

4.5
stars
648 ratings

About the Course

Ready to apply your AI skills in a real-world scenario you can showcase in your portfolio? During this project, you’ll work with the deep
learning skills you’ve acquired throughout the Professional Certificate, and we recommend that you have completed all the previous courses
before starting this one. For this project, you’ll build and compare deep learning models using Keras and PyTorch, and work through a full
development pipeline from data loading and augmentation to model training, evaluation, and deployment. You’ll apply convolutional neural
networks (CNNs) and vision transformers to domain-specific challenges. Then, finally, you’ll assess performance using metric...
...

Top reviews

SD

Mar 6, 2023

Deep Learning may be challenging, and though training a model is tedious and takes a lot of time, the classification and detection performance could be enhanced by using pre-trained CNN models.

RL

Jul 31, 2020

The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.

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76 - 100 of 129 Reviews for AI Capstone Project with Deep Learning

By Rehan T

Mar 15, 2025

Awsome!

By Aditya K

Jul 6, 2025

Thanks

By Emanuel D F

Jul 28, 2025

nice!

By Carlos D D A

May 14, 2025

bueno

By Sardor B

May 24, 2024

good

By 01fe21bec413

May 8, 2024

Good

By Dalton L

Nov 12, 2022

Good

By 321910303060 g

Nov 4, 2022

good

By Claudia S

May 18, 2020

For the Keras part, it would be desirable if "clean" zip files were provided for week 2 to week 4 exercises, since they contain the MacOSX folder (which I think it is not required for the exercises). Also for Keras, it might be helpful if any other example could be found, since I do not think that using models which take that many hours (35 hours in Cognitive AI site / 8 hours in Google Colab) contribute in any way to the learning process. Or at least adjust them to use one epoch, like the Pytorch exercises

By Meenal I

Jul 17, 2020

The course was good, but the only reason I gave it a 4* is because try as I might, the model fitting kept running out of memory on the provided system. I had to create an account on AWS to get my model to run. Maybe a consideration would be to try an alternate dataset that may fit in memory. I spent over 5 days trying it on IBM till before I had to move. to AWS. It was a great set of courses. Could have been a little more challenging as well.

By Edward

Jan 24, 2025

Отличный курс. Он мне понравился, внятные и логичные обьяснения. Обучение происходит от простого к сложному. Естественно есть небольшие шерховатости, например: непонятные показатели календаря при разделении курса на два потока, постоянно пишется, что у тебя просроченны контрольные. Это очень неприятно, дематевирует.

By Julien P

Jun 19, 2020

It's a great course to guide you through the full process of training a deep neural net. However, one needs to use external resources to train the model efficiently (Google Colab for example). The resources provided by IBM are not powerful enough to train the model in a reasonable amount of time (no GPU).

By Alexey K

Feb 6, 2023

Compare to the previous courses, this one is much more robust and actually tests coding skills. If not for annoying bugs with randomly crushing labs and training deep models for 2 hours, it would be a perfect example of what the rest of this specialization should have been.

By SHANTANU S V 2

Dec 25, 2022

I completed the course using Keras and I found one issue that the videos were available for PyTorch only and not for Keras in Week 2,3,4 making it difficult to understand for someone who is new to it. Otherwise everything is good. Great course. Thank You.

By Txomin V

May 19, 2023

Very well.

If your goal is to learn, I recommend having a look at both PyTorch and Keras options and taking notes since some new functions are mentioned.

I trained the models offline on my paptop with GPU and it only took a couple of minutes :)

By Abhishta G

Jul 6, 2023

Really good course, although I had some problems with IBM Watson Studio (Tokyo Region) in latency and constant restarting. I think it was a good introduction for people to get into the industry, many covered.

By Anne R

Oct 22, 2024

Course Project was more challenging than others in courses in the Certificate series but that was great! Option to complete project in either PyTorch or Tensorflow/Keras was appreciated.

By Martin R

Jan 8, 2025

I liked that I was finally able to do a final project with more independence, but libraries are outdated and classes are deprecated or missing in new versions.

By Mikhail P

Feb 13, 2021

The Keras part of the course is more attractive just because its final assignment is much better structured than that of PyTorch.

By Daniel J B O

May 27, 2020

I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging

By Dima E

Sep 26, 2021

It is a great task but the tools delivered very complicated. It is sometimes better to use upfront your own tools.

By Ruchika V

Dec 3, 2020

I have completed this course but did not get the badge for it. Is there any way to access it?

By samuel m

Apr 25, 2025

good, a lot on image classification, could be a bit more on time series prediction

By Thar H S

Mar 27, 2020

Thank a lot for creating this course. It really useful and practical for me.

By Emanuel N

Mar 1, 2021

Buen curso, implementando todo lo que se vio en la especializacion