Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
With Rizwan Munawar
Liked by 59 users
Duration: 3h 34m
Skill level: Intermediate
Released: 5/6/2025
Course details
Get an in-depth overview of computer vision algorithms in the YOLO family and demonstrate how to use these algorithms to address real-world challenges. This course includes technical walkthroughs for essential techniques like image classification, object detection, object tracking, instance segmentation, pose estimation, and oriented bounding boxes (OBB) using the Ultralytics Python package. Instructor Muhammad Munawar guides you through annotating data, training models, and exporting them, highlighting how the export process speeds up inference time. Additionally, see how Ultralytics solutions are tailored for solving practical computer vision challenges, with in-depth technical implementation examples provided throughout the course
Skills you’ll gain
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Nazmul Hasan
Nazmul Hasan
PhD Student in Systems & Industrial Engineering | Applying Data Science, Machine Learning, GenAI, & Computer Vision to Solve Real-World Problems |…
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Elliott A.
Elliott A.
Site Reliability Engineer | Platform Engineer - Kubernetes and Cloud Native Professional
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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