Certificate in AI Language Understanding: Data-Driven Approaches
-- ViewingNowThe Certificate in AI Language Understanding: Data-Driven Approaches is a comprehensive course that empowers learners with essential skills in artificial intelligence, natural language processing, and machine learning. This program dives into data-driven methodologies, enabling learners to design, implement, and evaluate AI models for language understanding.
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โข Introduction to Artificial Intelligence & Language Understanding: This unit will cover the basics of AI and its application in language understanding. It will introduce key concepts such as natural language processing (NLP), machine learning, and deep learning.
โข Data Preparation for AI Language Understanding: This unit will discuss the importance of data preparation in AI language understanding. It will cover data cleaning, preprocessing, and feature engineering.
โข Text Classification with AI: This unit will delve into the application of AI in text classification. It will cover traditional machine learning algorithms as well as deep learning models such as convolutional neural networks (CNN) and recurrent neural networks (RNN).
โข Sentiment Analysis with AI: This unit will focus on sentiment analysis, a specific application of text classification. It will cover how to train models to identify and categorize opinions expressed in text data.
โข Named Entity Recognition with AI: This unit will discuss named entity recognition (NER), another application of AI in language understanding. It will cover how to train models to identify and classify named entities such as people, organizations, and locations.
โข Machine Translation with AI: This unit will cover the use of AI in machine translation. It will discuss the challenges and approaches in translating text from one language to another.
โข Question Answering with AI: This unit will focus on question answering, a more interactive application of AI in language understanding. It will cover how to train models to provide accurate answers to user questions.
โข Ethical Considerations in AI Language Understanding: This unit will discuss the ethical considerations in AI language understanding. It will cover issues such as bias, privacy, and transparency.
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