Data & AI

Artificial Intelligence & Machine Learning

Develop, fine-tune, and deploy intelligent machine learning models and computer vision pipelines to solve local societal challenges.

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AI student working on neural network model graphs and computational graphs with futuristic cyan nodes in modern technology laboratory

Program Overview & Practical Labs

Artificial Intelligence is revolutionizing every industry. This advanced track trains engineers in the math, tools, and ethical frameworks required to build computer vision, natural language, and predictive systems tailored to Ethiopian contexts.

Curriculum Modules

Foundations of Linear Algebra & Probability for AI

Supervised & Unsupervised Learning Algorithms

Deep Neural Networks & Representation Learning

Computer Vision & Practical Audio/Text Processing

Model Optimization, Quantization, and Edge Deployment

Applied AI Capstone Project

Target Core Competencies

Machine Learning AlgorithmsDeep Learning & Neural NetworksPyTorch / TensorFlowComputer Vision BasicsModel Evaluation & MLOpsEthical AI Principles

Career Pathways

Machine Learning Engineer Intern

AI Solutions Developer

Computer Vision Specialist

Track Specifications

Duration12 Weeks (Full-Time)

Delivery FormatIn-Person & Lab

Tuition Support100% Scholarship Available

Prerequisites & Preparation

Strong mathematical foundation (algebra/calculus) and prior Python programming proficiency.

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