Computer Vision Certification
Training Express Ltd
Updated 2025 | 63 Modules Instructor Lead Video Classes | FREE CPD Certificate | 10 CPD Points | Lifetime Access
Summary
- Digital certificate - Free
- Hard copy certificate - Free
- Tutor is available to students
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Overview
Certificates
Digital certificate
Digital certificate - Included
Once you’ve successfully completed your course, you will immediately be sent a FREE digital certificate.
Hard copy certificate
Hard copy certificate - Included
Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).
For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.
Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
CPD
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Description
Course Curriculum
- Module 01: Introduction and study plan
- Module 02: Overview of Computer Vision
- Module 03: Key Components of Computer Vision
- Module 04: Pattern Recognition
- Module 05: Technique and Algorithms
- Module 06: Challenges in Computer Vision
- Module 07: Basic of Image Processing with Python
- Module 08: Key Libraries for image processing in Python
- Module 09: Basic Image Operation
- Module 10: Continuation of Basic Image Operation
- Module 11: Continuation of Basic Image Operation
- Module 12: Image Representation and Feature Extraction
- Module 13: Continuation of image Representation and Feature Extraction
- Module 14: Corner Detection
- Module 15: HOG(Histogram of Oriented Gradients)
- Module 16: Image Segmentation
- Module 17: Types of image Segmentation
- Module 18: Technique and Implementations
- Module 19: K-Means Clustering
- Module 20: Watershed Algorithm
- Module 21: Summary
- Module 22: Object Detection
- Module 23: Key Concepts in Object Detection
- Module 24: Implementing Object Detection with Pre trained Models
- Module 25: YOLO(You only Look Once)
- Module 26: Faster R-CNN with TensorFlow
- Module 27: Summary
- Module 28: Image Classification
- Module 29: Key Components in image Classification
- Module 30: Implementing image Classification
- Module 31: Deep learning Methods
- Module 32: Image Recognition and Scene Understanding
- Module 33: Key Concepts
- Module 34: Implementations
- Module 35: Scene Understanding with Semantic Segmentation
- Module 36: Instance Segmentation with Mask R-CNN
- Module 37: Scene Classification with RNN and CNN
- Module 38: Continuation of Scene Classification with RNN and CNN
- Module 39: Object Tracking
- Module 40: Key Concepts
- Module 41: KLT Tracker with OpenCV
- Module 42: Deep SORT with YAOLOv4 for Detection
- Module 43: Image Generation and image to Image Translation
- Module 44: key concepts
- Module 45: Implementations
- Module 46: Image to Image Translation with Pix2Pix
- Module 47: Cycle gan for Unpaired Image to Image Translation
- Module 48: Continuation of Cycle gan for Unpaired Image to Image Translation
- Module 49: Advanced Topics in Computer Vision
- Module 50: Continuation of Advanced Topics in Computer Vision
- Module 51: Continuation of Advanced Topics in Computer Vision
- Module 52: Computer Vision Applications and Future Trends
- Module 53: Application
- Module 54: Future Trends
- Module 55: Continuation of Future Trends
- Module 56: Capstone Project
- Module 57: Project Title Real-world Object Detection and Classification System
- Module 58: Project Tasks
- Module 59: Continuation of project Tasks
- Module 60: Project Deliverables
- Module 61: Project Evaluation
- Module 62: Conclusion
- Module 63: Assignment
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Certification
Once you’ve successfully completed your Dog Training Course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Dog Training Course certification has no expiry dates, although we do recommend that you renew them every 12 months.
Who is this course for?
- Professionals seeking to enhance careers in computer vision and AI.
- Software engineers interested in mastering computer vision certification concepts.
- Data scientists aiming to integrate computer vision into analytics workflows.
- Students pursuing deep learning and computer vision project experience.
- AI enthusiasts wanting to specialize in image recognition technologies.
- Developers wishing to build object detection and classification applications.
- Researchers exploring advanced topics in computer vision algorithms and methods.
- Tech professionals preparing for real-world computer vision certification projects.
Requirements
Learners do not require any prior qualifications to enrol on this Natural Language Processing (NLP) Certification Course.
Career path
- Computer Vision Technician
- AI Vision Algorithm Developer
- Image Processing Assistant
- Object Detection System Designer
- Image Classification Analyst
- Scene Understanding Research Assistant
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
