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AI Capstone Project with Deep Learning

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Apply your deep learning skills to build and compare models using Keras and PyTorch, implement CNNs, vision transformers, and evaluate performance.

4.4 (1k+ Reviews)

Language

  • English

Topic

  • Deep Learning

Enrollment Count

  • 10.67K

Skills You Will Learn

  • AI Model Development, Deep Learning, Vision Transformers, Computer Vision, Data Processing, Convolutional Neural Networks

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 4 weeks

Platform

  • Coursera

Last Update

  • September 15, 2025
About this 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 IBM AI Engineering 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!

Recommended Background 
Completion of all previous courses in the AI Engineering Professional certificate program. 
 


Instructors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Artem Arutyunov

Data Scientist

Hey, Artem here! I am excited about answering new challenges with data science, machine learning and especially Reinforcement Learning. Love helping people to learn, and learn myself. Studying Math and Stats at University of Toronto, hit me up if you are from there as well.

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