Our training program will commence on July 4th and conclude on August 1st. Sessions will be held every Saturday from 14:00 to 16:00. You may join the class at the scheduled time using the relevant link.

Course Information

Offered by Dr Abdullahi Umar and Ibrahim Ahmed Ame, this intensive 5-week

professional course is meticulously designed to take learners from foundational programming to the

cutting edge of artificial intelligence. Titled " Advanced Computer Vision & Prediction Algorithms,"

the program bridges the gap between theoretical knowledge and practical, real-world deployment. It

features a highly structured, step-by-step curriculum delivered in a flexible, online format tailored for

students and busy professionals alike.

Learning Outcomes

 Master Core Programming & Image Basics: Write efficient Python scripts to load,

manipulate, and process digital images using fundamental computer vision techniques.

 Apply Traditional Machine Learning: Build, train, and evaluate classic machine learning

models specifically designed for image classification tasks.

 Harness Deep Learning & Transfer Learning: Construct Convolutional Neural Networks

(CNNs) and adapt powerful, pre-trained models to solve complex visual recognition

problems.

 Implement Object Detection & Predictions: Deploy advanced frameworks to locate, track,

and identify multiple objects within an image, alongside building predictive data algorithms.

 Optimize and Deploy AI Solutions: Fine-tune model performance for efficiency and

successfully deploy completed computer vision applications into real-world production

environments.

At the end of this session, participants will be able to:

 Develop foundational Python scripts tailored for image manipulation and fundamental

computer vision tasks.

 Implement traditional machine learning workflows to successfully categorize and classify

digital images.

 Build and train Deep Learning architectures, specifically Convolutional Neural Networks

(CNNs), while utilizing transfer learning to optimize model training.

 Design and deploy object detection frameworks and predictive algorithms capable of

handling real-world datasets.

 Optimize, tune, and deploy advanced models into production environments while managing

an end-to-end AI project from scratch.

Course Level: All levels (Undergraduate and Postgraduate)

Weekly Curriculum Breakdown

Week 1: Fast-Track Python & Computer Vision Fundamentals – An accelerated introduction to core

programming concepts and basic image processing techniques.

Week 2: Traditional ML & Image Classification – Exploring classic machine learning pipelines and

fundamental classification algorithms.

Week 3: Deep Learning: CNNs & Transfer Learning – Diving into neural networks, Convolutional

Neural Networks (CNNs), and leveraging pre-trained models.

Week 4: Object Detection & Real-World Prediction Algorithms – Transitioning to advanced tasks

like detecting specific elements within images and implementing predictive logic.

Week 5: Advanced Optimization, Deployment & Capstone Project – Finalizing models for maximum

efficiency, deploying them into production environments, and showcasing skills through a

comprehensive final project.