Undergraduate Certificate in AI for Technical Translation
-- ViewingNowThe Undergraduate Certificate in AI for Technical Translation is a career-advancing course designed to equip learners with essential skills in artificial intelligence and technical translation. This certificate course is crucial in today's industry, where AI technology is increasingly being used in translation and localization workflows.
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⢠Introduction to Artificial Intelligence (AI): Fundamentals, history, and applications of AI. Understanding AI concepts, algorithms, and architectures.
⢠Natural Language Processing (NLP): Principles and techniques for processing and analyzing human languages with AI. NLP applications in technical translation.
⢠Machine Learning (ML): Basic ML concepts, algorithms, and models. Supervised, unsupervised, and reinforcement learning. Applying ML to translation tasks.
⢠Deep Learning (DL): Neural networks, backpropagation, and optimization. Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks.
⢠Computer Vision: Image analysis, recognition, and processing. Object detection and segmentation. Applying computer vision to document and image translation.
⢠Translation Technologies: Translation memory, terminology management, and machine translation systems. Evaluating and selecting translation technologies.
⢠Data Preparation and Preprocessing: Data cleaning, normalization, and transformation. Data augmentation techniques. Building and preparing datasets for AI training.
⢠Evaluation and Metrics: Evaluating AI models in technical translation. Qualitative and quantitative metrics. Comparing and selecting AI models.
⢠Ethics and Fairness in AI: Bias, fairness, and transparency in AI. Ethical considerations in AI-assisted technical translation.
⢠AI Project Management: Planning and managing AI projects. AI-specific risks, challenges, and success factors.
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