Deep Learning and Computer Vision: Object Detection with PyTorch
With Prateek Sawhney
Liked by 47 users
Duration: 59m
Skill level: Advanced
Released: 6/9/2025
Course details
This advanced course on deep learning and computer vision focuses on building, training, and fine-tuning object detection models using PyTorch. Join instructor Prateek Sawhney as he shows you how to work with popular object detection models such as YOLO, SSD, and Faster R-CNN, while gaining hands-on experience with real-world projects. By the end of this course, you'll be prepared to implement and evaluate state-of-the-art object detection systems, fine-tune models for performance, and deploy them in real-time applications.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Test your knowledge 8 quizzes
- Learn on the go Access on tablet and phone
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