"This course transformed my understanding of computer vision. Working with CNNs and real datasets made the concepts clear and applicable. By the end, I was able to build and deploy visual AI systems with confidence. Highly recommended for anyone looking to work in AI development."
This course equips learners with the skills to develop computer vision applications using modern AI techniques. Participants explore image processing, object detection, and advanced visual recognition systems through hands-on projects using Python, OpenCV, and deep learning frameworks. The course balances theory and practice, teaching how computer vision models are designed, trained, evaluated, and deployed. By the end, learners will be able to create functional AI vision systems for applications ranging from robotics and security to healthcare and satellite imagery.
Module 1: Image Processing & Fundamentals
Learners begin by understanding core computer vision concepts, including image manipulation, filtering, and feature extraction. This module covers Python libraries such as OpenCV and PIL, helping participants preprocess images and prepare datasets for AI model training. Hands-on exercises focus on real-world tasks such as edge detection, transformations, and basic visual recognition workflows.
Module 2: Object Detection & Recognition
This module dives into building AI models for object detection and image classification. Learners work with convolutional neural networks (CNNs) and modern architectures such as YOLO and Vision Transformers. Practical exercises involve training models on sample datasets, detecting objects in images and videos, and understanding how to optimise models for accuracy and speed.
Module 3: Advanced Applications & Deployment
Learners apply their knowledge to design and deploy complete computer vision systems. Topics include model evaluation, performance tuning, real-time video processing, and deployment strategies for cloud or edge devices. Participants also explore specialised applications such as facial recognition, medical imaging, and satellite image analysis.
This course is ideal for software engineers, AI developers, data scientists, and technical professionals looking to specialise in computer vision. It is also suitable for students and career changers who want hands-on experience building AI systems that interpret visual data in practical applications.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attending this course provides learners with the skills to develop advanced computer vision models and deploy them in real-world scenarios. The hands-on approach ensures participants leave confident in building, evaluating, and deploying AI-powered visual systems across diverse industries.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning delivers practical, industry-focused AI training with a strong emphasis on hands-on projects and real-world applications. Our expert instructors guide learners through the entire process of building and deploying computer vision systems, providing skills that are immediately relevant in high-growth sectors including AI, defence, robotics, and space.
