Master Computer Vision Techniques and Unlock the Power of Visual Data
Dive deep into the world of image processing, object detection, and video editing to enhance your projects and career prospects.
“This course was really fun to attempt”
In today's data-driven world, Computer Vision has become an essential skill for developers, engineers, and researchers.
By enabling computers to interpret and understand visual information, it has revolutionised industries such as robotics, healthcare, security, and transportation.
Our comprehensive online course will equip you with the knowledge and skills needed to apply Computer Vision techniques to your projects, setting you apart in your field.
By end of these workshops you will have completed five mini-projects of your own and possess the confidence to attempt personal CV projects.
Course Overview: This hands-on course covers the following topics:
- Basics of Computer Vision
- Image Editing
- Image Processing
- Object Detection with Contours, Shapes, and Templates
- Advanced Object Detection with Filters, Transforms, and Haar Cascade Algorithm
- Video Editing
Each section includes practical examples designed to reinforce learning and build proficiency in Computer Vision.
Benefits and Outcomes
Upon completing this course, you will be able to:
Understand Fundamentals of Computer Vision
Learn how to apply various computer vision techniques such as image filtering, image enhancement, and image segmentation to process images.
Apply Computer Vision Techniques
Image editing and processing are crucial parts of computer vision. You will learn how to use image processing techniques to filter, enhance, and segment images. You will also learn how to remove noise from images, adjust brightness and contrast, and perform other common image processing tasks.
Implement Object Detection
Object detection is one of the most important tasks in computer vision. You will learn how to detect objects in images and videos using various techniques such as template matching, feature-based object detection, and deep learning-based object detection such Haar Cascade algorithm
Work with Video Data
In this course, you will learn how to work with video data and perform various tasks such as video processing, tracking, and analysis. You will learn how to track objects in videos, analyze motion, and perform other video analysis tasks.
Utilise popular libraries and tools, such as Numpy and OpenCV
Numpy and OpenCV are two of the most popular libraries used in computer vision. In this course, you will learn how to use these libraries to perform various computer vision tasks
Learn data preparation in computer vision
Learn about the importance of data preparation and evaluation in computer vision, including techniques for data cleaning, normalization, augmentation, and evaluation.
Applications You Can Build
After completing this course, you'll be able to build a wide range of applications using computer vision
For example, you could build a system for recognizing faces in images or videos, a motion tracking system for security cameras, an augmented reality application that overlays virtual objects onto real-world scenes, or a self-driving car that uses computer vision to navigate the road. The possibilities are endless, and we're excited to see what you'll create!
Image Background Remover
Build a tool that automatically detects and removes the background from images using contour detection and image segmentation techniques, streamlining the process for graphic designers or e-commerce businesses
Licence Plate Recognition System
Develop a system that identifies and extracts licence plate numbers from images or videos of vehicles, which can be used in parking lots, toll booths, or traffic management systems
Mood Detector App
Design an app that analyses facial expressions and detects emotions such as happiness, sadness, or anger, which can be used in mental health applications, customer feedback systems, or social media filters.
Smart Home Security System
Utilize the Haar Cascade Algorithm to build a security system that detects vehicles and pedestrians, and sends real-time alerts when unauthorised individuals or vehicles are detected.
Curriculum
Get a look at all of the content covered in the course. Everything you need to know to master fundamentals of computer vision is inside.
“We will cover everything from the image basics all the way to advanced object detection techniques and video tracking.”
I. Introduction
II. Basics of Computer Vision
Contact Information: For any questions or concerns, please contact us at info@buildyourai.com
Frequently asked questions
Pricing
Enrol in the course now
This is a self-paced online course, giving you the flexibility to learn at your own convenience. More material like videos and exercises will become available as soon as completed.
Our course has received rave reviews from previous customers
I worked with a small group of early access customers to make sure all of the content in the course was exactly what they needed.
It was a series of very useful workshops for me to have a quick grasp of some ideas of computer vision. At work, I do a lot of analysis with neuroimaging/MRI data. After these workshops, I had that realisation and so much appreciation of how much my works actually rely on these CV algorithms (or magic if you like).
Johnny King LauResearcher & Data ScientistWorking as a visual effects artist in film I love the idea of automating image processing. Ali's course was a great introduction to Open CV and to automating image processing through Python. He took us through the main operators step by step, taking questions as he went through the excellently laid out notebook. The homework projects really helped me to get a handle on the subject. Receiving a certificate at the end was a real added bonus!"
Jack HughesVideographerI took the Build Your AI Computer Vision Fundamentals with OpenCV in Python course and found that it was a well-thought out course with good materials, both presentation slides and Jupyter Notebooks. Ali presents the material very clearly and a good pace, mixing presentation, short exercises and much longer pieces of work to do in your own time after the course. The work was challenging, as it was a new topic, but the course had covered the material well, so it was a good reference. It was an excellent investment of my time and good value for money.
David BuckHead of Backend EngineeringIt was a series of very useful workshops for me to have a quick grasp of some ideas of computer vision. At work, I do a lot of analysis with neuroimaging/MRI data. After these workshops, I had that realisation and so much appreciation of how much my works actually rely on these CV algorithms (or magic if you like).
Johnny King LauResearcher & Data Scientist
Working as a visual effects artist in film I love the idea of automating image processing. Ali's course was a great introduction to Open CV and to automating image processing through Python. He took us through the main operators step by step, taking questions as he went through the excellently laid out notebook. The homework projects really helped me to get a handle on the subject. Receiving a certificate at the end was a real added bonus!"
Jack HughesVideographer
I took the Build Your AI Computer Vision Fundamentals with OpenCV in Python course and found that it was a well-thought out course with good materials, both presentation slides and Jupyter Notebooks. Ali presents the material very clearly and a good pace, mixing presentation, short exercises and much longer pieces of work to do in your own time after the course. The work was challenging, as it was a new topic, but the course had covered the material well, so it was a good reference. It was an excellent investment of my time and good value for money.
David BuckHead of Backend Engineering
Instructor
Ali Parandeh – I am a python developer just like you.
Hi, I'm Ali, a Chartered Software Engineer (CEng), Microsoft Azure Certified Developer, Google Cloud Professional Data Engineer, and Python & Computer Vision expert with over 7 years of experience in engineering consulting. I have a strong background in data science, machine learning, and web development, and I have led engineering teams at large multinational consultancies and tech startups in London.
As a Microsoft-certified Data Scientist and passionate educator, I dedicate my free time to teaching data science, graphic design, and web development through meetups and online platforms. In 2019, I founded London's Beginners Machine Learning (BML) group, a Microsoft-sponsored meetup aimed at helping professionals break into the field of Data Science & AI and obtain cloud certifications. The group has since grown to over 1,000 members, and I actively instruct participants in data science, machine learning, and cloud computing technologies. My portfolio of clients includes Network Rail, High-Speed Train 2, Heathrow Express, Transport for London, and the Department for Transport.
As an instructor for this computer vision course, I am excited to share my wealth of knowledge, hands-on experience, and enthusiasm for teaching with you. I am committed to creating an engaging and comprehensive learning experience that will equip you with the skills needed to excel in the exciting world of computer vision.