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Computer Vision with TensorFlow & OpenCV

Build real-time image recognition and computer vision applications with TensorFlow and OpenCV.

3.7 ★★★½ (3 ratings)
9 lessons
38h
Advanced level
Certificate included
Mobile accessible
Dr. Yuki Tanaka Created by Dr. Yuki Tanaka
Last Updated: August 15, 2026
Computer Vision with TensorFlow & OpenCV
Preview this course

What You'll Learn

Image Processing Fundamentals
Deep Learning for Vision
Real-Time Applications

Requirements

  • No prior experience required — suitable for advanced level learners
  • A computer or laptop with internet access
  • Willingness to learn and practise the concepts covered

Description

A hands-on, project-heavy course covering the full computer vision pipeline from image processing to deployment.

Learn image classification, object detection, and real-time video processing using TensorFlow and OpenCV.

The final project builds a working object-detection application you can deploy yourself.

Frequently Asked Questions

What prior skills do I need?

Solid Python skills and basic deep learning knowledge are recommended.

Will I build a real application?

Yes, a real-time object detection app is the course's capstone project.

3 Sections 9 Lessons 2h 25m total length
Image Processing Fundamentals
3 lessons
Working with OpenCV 12:00 Preview
Filters, Edges & Transformations 15:00
Feature Detection 13:00
Deep Learning for Vision
3 lessons
Image Classification with CNNs 18:00
Object Detection Techniques 20:00
Image Segmentation 16:00
Real-Time Applications
3 lessons
Real-Time Video Processing 15:00
Deploying Vision Models 14:00
Capstone: Object Detection App 22:00

Your Instructor

Dr. Yuki Tanaka
Dr. Yuki Tanaka
Instructor at AI Training and Events
1 Course yuki.tanaka@aitrainingandevents.com

Student Reviews

3.7
★★★½
Course Rating
5 ★
33%
4 ★
0%
3 ★
67%
2 ★
0%
1 ★
0%
Priya Sharma
Priya Sharma
August 2026
★★★☆☆

Good introduction to the topic. Some prior knowledge would help you get more out of the advanced sections.

Fatima Al-Rashid
Fatima Al-Rashid
August 2026
★★★★★

One of the best courses I've taken on this platform. Well structured, practical, and genuinely engaging.

Grace Kim
Grace Kim
August 2026
★★★☆☆

Good introduction to the topic. Some prior knowledge would help you get more out of the advanced sections.