AI Specialist & MSc Artificial Intelligence Graduate
Loughborough University, United Kingdom · Originally from Ghana
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I am an AI Specialist and MSc Artificial Intelligence graduate from Loughborough University in the United Kingdom, originally from Ghana. I completed my BSc in Computer Engineering at the University of Energy and Natural Resources. I previously worked as an AI Research Assistant at Loughborough University on a project funded by the National Institute for Health Research, which has now concluded.
In my research, I built multi-modal AI pipelines integrating clinical imaging data and electronic records, improving retinal disease diagnostic accuracy by 15%. I deployed a production melanoma classification system processing over 1,000 medical image predictions every day through a REST API. Earlier in my career, I developed an industrial IoT anomaly detection system that prevented over 12 critical infrastructure failures through unsupervised learning techniques.
My technical foundation covers Python, PyTorch, TensorFlow, OpenCV, and Keras, with deep specialisations in computer vision, natural language processing, healthcare AI, and multi-modal learning. But the skill I am most proud of is the ability to take something genuinely complex and explain it in a way that actually makes sense.
I created this AI Crash Course to bring that same clarity to anyone who is curious about artificial intelligence. Whether you are a student, a professional exploring a new direction, or simply someone who wants to understand the technology shaping our world, these 25 lessons are built for you.
I built this course because AI felt intimidating when I started out, and I wanted to create the resource I wish had existed. Clear, honest, grounded in real applications.
Advanced study in Deep Learning, Computer Vision, NLP, Healthcare AI, Robotics, and Neural Network Architectures.
GraduateBuilt accessible healthcare AI systems serving 10,000+ individuals. Achieved 92% user satisfaction. Multi-modal clinical imaging pipelines improving diagnostic accuracy by 15%.
Research Impact: 10,000+ individualsIoT smart meter deployment across the national grid. Built a digital payment API serving 50,000+ monthly users. Developed unsupervised anomaly detection preventing 12+ critical infrastructure failures.
Capstone project: IoT Device Fingerprinting using machine learning and network traffic analysis. Advanced Robotics Certification (January 2021).
Awarded a scholarship by the Government of Ghana in recognition of academic excellence and research potential in artificial intelligence.
Award RecipientEnterprise networking fundamentals, routing protocols, and switched network architecture.
From zero to a genuine understanding of modern AI. Each phase builds on the last.
Start with Phase 1 and work through at your own pace. Every lesson builds on the last. No prior experience needed.
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