About
Go from AI theory to real computer vision running on hardware - the skill that separates AI talkers from AI builders. WHO IT'S FOR - College students: build genuine, deployable AI/ML skills beyond notebooks and coursework. - Working professionals: add edge-AI and computer vision to your toolkit and portfolio. WHY IT MATTERS: edge AI is one of the fastest-growing, highest-paid areas in tech - and employers want people who can ship it. WHAT YOU'LL BUILD: an object detector, a face and gesture recogniser, and a smart camera that acts on what it sees. CURRICULUM INDEX Module 1: AI, ML and edge computing explained Module 2: Jetson Nano setup and environment Module 3: Python and AI libraries Module 4: Image classification basics Module 5: Real-time object detection with a camera Module 6: Training and fine-tuning your own model (Professional track) Module 7: Optimisation and edge deployment (Professional track) Module 8: Capstone - an AI product prototype Student track: Modules 1-5. Professional track: Modules 1-8 with custom model training. WHAT YOU'LL WALK AWAY WITH: a deployable AI project, real model-training experience, and a certificate. Format: self-paced online + Jetson Nano kit.
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