Course Title:

Computer Vision

Course ID:

02 240225 0101 496ESH

Course Dates :

24/02/25

 To

28/02/25

Course Duration :

5 Studying Day/s

Course Location:

London

UK

Course Fees GBP:

£4,852.07

  • Vat Not Included in the price.
  • VAT may vary depending on the country where the course or workshop is held.

Course Category:

Professional and CPD Training Programs

Artificial intelligence

Course Certified By:

* ESHub CPD

* Professional Training and CPD Programs
* Executive Diploma Certificate
* Executive Masters Certificate

Certification Will Be Issued From :

United Kingdom

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

Introduction

Computer Vision is a rapidly advancing field within artificial intelligence that enables computers to interpret and make decisions based on visual data from the world around them. With applications spanning industries such as healthcare, automotive, security, and entertainment, the ability to process and analyze images and videos automatically is critical to improving efficiencies and driving innovation. This course provides a comprehensive understanding of the core concepts, technologies, and practical tools necessary to build and implement computer vision solutions, making it a must for professionals looking to enter or advance in this dynamic field.

Computer vision combines elements of image processing, machine learning, and deep learning to give machines the ability to "see" and make sense of visual data. With the advent of more powerful computational tools and expansive datasets, computer vision techniques have gained immense traction in tasks such as object recognition, facial recognition, autonomous vehicles, medical imaging, and visual inspection in manufacturing. As the demand for intelligent systems that can understand and interact with visual environments grows, the need for trained professionals in computer vision is at an all-time high.

The core objective of this course is to equip participants with a deep understanding of computer vision techniques and their real-world applications. From fundamental concepts like image pre-processing and feature extraction to advanced methods using convolutional neural networks (CNNs) and deep learning, the course will cover both theoretical and practical aspects of computer vision. Participants will be exposed to key algorithms, hands-on projects, and case studies that highlight how computer vision is transforming industries and how they can harness this potential in their organizations.

This program also emphasizes practical implementation, ensuring that participants gain experience with key tools and libraries in the field, such as OpenCV, TensorFlow, and PyTorch. Through a combination of lectures, discussions, and hands-on exercises, participants will gain the necessary skills to apply computer vision technologies to solve complex problems in their professional environments. The training will also include industry-specific case studies to demonstrate the tangible benefits of computer vision in various sectors.

By the end of the course, participants will be able to design and implement computer vision systems capable of solving real-world challenges. They will understand how to choose the appropriate techniques for different scenarios, optimize models for performance, and integrate them into larger systems. This knowledge will position participants as experts in computer vision, prepared to lead the development of AI-powered visual systems within their organizations.

By the end of the course, participants will have the practical skills and theoretical understanding to develop and deploy computer vision solutions across various industries.

Objectives

Upon successful completion of this course, participants will be able to:

Understand the fundamentals of computer vision, including image processing and feature extraction techniques.
Gain proficiency in deep learning models, such as CNNs, and their applications in computer vision.
Apply computer vision algorithms to solve real-world problems, including object detection, facial recognition, and image classification.
Utilize popular computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch, for hands-on projects.
Understand and implement best practices for model optimization, including performance evaluation and tuning.
Explore industry-specific applications of computer vision, such as healthcare imaging, autonomous vehicles, and surveillance systems.

Who Should Attend?

This course is designed for professionals with a background in software development, data science, or machine learning who want to expand their expertise in computer vision. It is suitable for those working in industries such as technology, healthcare, automotive, security, and manufacturing. The program is also ideal for professionals seeking to implement computer vision solutions in their organizations or advance their careers by mastering one of the most cutting-edge fields in artificial intelligence. No prior experience in computer vision is required, but a basic understanding of programming and machine learning concepts will be beneficial.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Outlines

Week 1
Day 1: Introduction to Computer Vision and Image Processing

Overview of computer vision: History, applications, and future trends
Fundamental concepts in image processing: Pixels, resolution, and color models
Image pre-processing techniques: Filtering, resizing, and normalization
Feature extraction methods: Edge detection, histograms, and keypoints

Day 2: Machine Learning Foundations for Computer Vision

Introduction to machine learning: Supervised and unsupervised learning techniques
Training models for image classification: Logistic regression and support vector machines
Feature selection and dimensionality reduction methods
Evaluating model performance: Accuracy, precision, recall, and F1 score

Day 3: Deep Learning for Computer Vision

Introduction to deep learning and neural networks
Understanding Convolutional Neural Networks (CNNs) and their applications in computer vision
Implementing CNN models using TensorFlow and PyTorch
Transfer learning: Leveraging pre-trained models for better performance

Day 4: Advanced Computer Vision Techniques

Object detection methods: YOLO, R-CNN, and SSD
Image segmentation techniques: Semantic segmentation and mask R-CNN
Facial recognition and emotion detection: Leveraging computer vision for biometric applications
Real-time video processing and tracking

Day 5: Applications and Future Trends in Computer Vision

Industry-specific applications of computer vision: Healthcare, automotive, and retail
Ethics and challenges in implementing computer vision systems
Future trends in computer vision: AI-powered vision systems and edge computing
Capstone project: Hands-on implementation of a computer vision system

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Share by: