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

4.5

stars

650 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 metrics like accuracy, precision, and inference speed. By the end of the project, you’ll be able to demonstrate your skills in building and comparing models using Keras and PyTorch. Plus, you’ll be able to showcase that you can implement CNNs and vision transformers and evaluate your model’s performance. If you’re ready to complete a portfolio-worthy capstone project, enroll today!...

Top reviews

Mar 5, 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.

Jul 30, 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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126 - 129 of 129 Reviews for AI Capstone Project with Deep Learning

By Mykola K

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Apr 13, 2025

This course is useless. The materials need to be updated. The Jupyter Notebook environment, unfortunately, cannot handle the course tasks. For example, while working on the practice in module 4, I had to wait 20 minutes for the model to download, then about an hour for the archive to extract. In the end, the Python engine froze, and I could no longer restart it or re-enter the lab.

By Albert D

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Apr 8, 2025

The videos and learning material are great. Same for the instructors. But working on the assignments is so draining. The datasets take hours to load and the models take ages to train. The kernel keeps crashing. I spent days on a project that should have been done in minutes.