End-to-End Computer Vision

Course Description

Are you ready to dive into the fascinating world of computer vision? Join our dynamic End-to-End Computer Vision course and discover how this cutting-edge technology is revolutionizing industries and applications worldwide.

In this hands-on course, you’ll master essential topics like image classification, object detection, and segmentation. Our expert instructors will guide you through every step, ensuring you gain a deep understanding of how to build, train, and deploy computer vision models using PyTorch. By the end of the course, you’ll not only be proficient in modern computer vision techniques but also confident in your ability to create and implement robust solutions for real-world challenges in AI and machine learning.

This course is one of 6 courses in the Foundations in AI pilot Micro-Credential pathway offered by the Translational AI Center at Iowa State University.

Complete any 3 courses listed below to earn the Foundations in AI badge:

• Machine Learning Operations (MLOps)
• End-to-End Computer Vision
• Generative Models
• Mastering PyTorch
• End-to-End Natural Language Processing
• Interpretability in AI

Learn more about Micro-Credentials at Iowa State University!

Prerequisites

• Python programming
• Basic understanding of deep learning

Intended Audience

This course is aimed at software engineers, data scientists, data engineers, data analysts, research scientists, and developers who wish to gain a foundational understanding of computer vision and its real-world applications. Previous participants have included professionals from leading technology and AgriTech companies.

Course Procedures

The course starts on October 7, 2024. All coursework must be completed by November 30, 2024, in order to earn the micro-credential badge. You will continue to have access to the course materials until August 31, 2025. The approximate time to complete this course is 16 hours. 

This course has an instructional period from October 7 to November 3, 2024. During this instructional period, course materials will be released weekly and live synchronous sessions will be held. You may complete the course materials at your own pace. Live Zoom meetings will be conducted for interactive coding sessions. A suitable time for these live sessions will be determined through a group poll. The recordings of those sessions will be available soon after each meeting.

You will receive the End-to-End Computer Vision micro-credential badge upon successful completion of the course assessments.

Course Materials

Course materials are provided within the course. No additional purchase is required.

Contact Information

Contact isopd@iastate.edu for more information.

Course Developer

The Translational AI Center breaks down disciplinary silos to bring together core Iowa State artificial intelligence researchers and subject matter experts interested in applying new technologies to their work. For more information, visit Translational AI Center at Iowa State University

Instructor

Zaki Jubery, Research Scientist

Zaki Jubery is a research scientist in the Translational AI Center (TrAC) at Iowa State University. His research interests are in (i) High-throughput phenotyping (ii) Crop modeling (iii) Image processing (iv) Applied machine learning in agriculture.

Zaki works on integrating engineering tools into various agricultural applications. He has been dedicated to pioneering research in this field since September 2013.

Zaki earned his Ph.D. in Mechanical Engineering from Washington State University and completed a postdoctoral fellowship at the University of Illinois Urbana-Champaign. Before transitioning to agriculture, his background includes designing, simulating, and manufacturing point-of-care microfluidics sensors for biomedical and industrial applications.