TG
Great course content! One thing that can be improved is the Skills Network portal. It's incredibly difficult to train any of the pre-trained models there.

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!

TG
Great course content! One thing that can be improved is the Skills Network portal. It's incredibly difficult to train any of the pre-trained models there.
ZA
Course is very good and easy to understand, Instructors have put in a lot of efforts to design the course, five stars from my side
SS
AI Capstone project was really Interesting. I learned a lot during project. Thanks Team
RB
A very nice project based course to get hands on experience with deep learning and transfer learning.
SM
good, a lot on image classification, could be a bit more on time series prediction
DO
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
SK
The Course is good, The labs were crashing which were causing lot of issues in completing the course
RB
Putting in practice what I learned and experienced positive results was very satisfactory.
AF
A nice project to better understand the concepts learnt in the other courses of the program.
RL
The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.
MR
I liked that I was finally able to do a final project with more independence, but libraries are outdated and classes are deprecated or missing in new versions.
SM
Very Good course. Learnt a lot from this course. Also got good hands-on experience.