You don't need a degree. You don't need a powerful laptop. You don't need to have written a single line of code. All you need is a free Google account and an internet connection.
Over four weeks, learn Python from your very first line of code, then apply it to build real AI systems that can see, classify, and make decisions from images — the same technology used in Nigerian hospitals, export warehouses, and traffic cameras.
The course progresses through three difficulty levels: zero-to-Python, intermediate computer vision with OpenCV and TensorFlow, and advanced real-world CV deployment including YOLOv8 object detection and face recognition.
Enquire on WhatsApp| Course Code | CC-EXP-01 |
| Duration | 4 Weeks |
| Format | Onsite · Instructor-Led |
| Prerequisite | None — zero coding required |
| Equipment | Free Google Account + Internet |
| Platform | Google Colab (free, cloud-based) |
| Location | 122 Ogudu Road, Lagos |
| Cohort 1 Starts | October 2026 |
Every project is grounded in real African business contexts. You leave with deployable systems, not demos.
A computer vision system that analyses market images and extracts pricing signals from Nigerian market environments. Applies real-world data collection and model training.
An image classification model trained to distinguish between fresh and defective produce — applicable to export agriculture and food safety inspection in Nigerian markets.
A real-time face detection and recognition system that automates attendance tracking — built using live webcam input, trained on participant-defined datasets.
An object detection pipeline using YOLOv8 to identify and classify Nigerian road signs in real-time video — a capstone project combining all course skills into a deployable system.
No prior coding experience needed. You will go from complete beginner to writing real Python programs that process, analyse, and manipulate data.
Understand how AI learns from images. Train your own models on real African datasets. Build systems that classify, detect, and respond to visual input.
Move beyond classification. Build object detection systems that work on live video. Deploy your final project and defend it live at the course showcase.
Every course ends with a live project defence. WhatsApp our team to ask questions, check availability, and secure your place.
Enquire on WhatsApp