Undergraduate Certificate in Foundations of AI for Development
-- ViewingNowThe Undergraduate Certificate in Foundations of AI for Development is a comprehensive course designed to equip learners with essential skills in Artificial Intelligence (AI). This certificate course is crucial in today's digital age, where AI is revolutionizing various industries, from healthcare to finance, and retail to manufacturing.
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โข Introduction to Artificial Intelligence (AI) – definitions, history, and importance of AI. Overview of AI subfields: machine learning, natural language processing, robotics, computer vision, etc.
โข Data Structures & Algorithms for AI – data structures (arrays, linked lists, trees, graphs), algorithms, time and space complexity, Big O notation.
โข Machine Learning Fundamentals – supervised, unsupervised, and reinforcement learning. Linear regression, logistic regression, decision trees, support vector machines, etc.
โข Deep Learning Basics – artificial neural networks, backpropagation, convolutional neural networks, recurrent neural networks, long short-term memory.
โข Natural Language Processing (NLP) – text processing, tokenization, part-of-speech tagging, sentiment analysis, named entity recognition, machine translation.
โข Computer Vision & Robotics – image processing, feature extraction, object detection, tracking, segmentation, robot kinematics, dynamics, control, and navigation.
โข AI Ethics & Policy – ethical considerations in AI, fairness, accountability, transparency, privacy, data bias, AI governance, and policy-making.
โข AI Project Management & Implementation – AI project lifecycle, requirements gathering, data preparation, model development, testing, deployment, and maintenance.
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