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AI Capstone Project with Deep Learning

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In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.

4.4 (1k+ Reviews)

Language

  • English

Topic

  • Deep Learning

Enrollment Count

  • 4.85K

Skills You Will Learn

  • Machine Learning, Statistical Programming, Computer Programming, PyTorch, Python

Offered By

  • IBMSkillsNetwork

Platform

  • Coursera

Last Update

  • May 12, 2025
About this Course
Learning Outcomes:
• determine what kind of deep learning method to use in which situation
• know how to build a deep learning model to solve a real problem 
• master the process of creating  a deep learning pipeline 
• apply knowledge of deep learning to improve models using real data
• demonstrate ability to present and communicate outcomes of deep learning projects

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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