Global Certificate Course in AI for Language Technologies
-- ViewingNowGlobal Certificate Course in AI for Language Technologies provides a comprehensive introduction to the exciting world of artificial intelligence applied to language. This course covers natural language processing (NLP), machine translation, and speech recognition.
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- Introduction to Natural Language Processing (NLP)
- Machine Learning for Language Technologies
- Deep Learning Models for NLP: Recurrent Neural Networks (RNNs) and Transformers
- Language Representation Models: Word Embeddings and Contextualized Embeddings
- Text Preprocessing and Feature Engineering for NLP
- Sentiment Analysis and Opinion Mining
- Machine Translation and Cross-lingual Information Retrieval
- Building AI-powered Chatbots and Conversational Agents
- Ethical Considerations in AI for Language Technologies
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Career Role Description AI Language Engineer (Primary: AI, Language Processing; Secondary: NLP, Machine Learning) Develops and implements cutting-edge Natural Language Processing algorithms for applications like chatbots and machine translation.
High demand in UK tech.
NLP Data Scientist (Primary: NLP, Data Science; Secondary: AI, Machine Learning) Analyzes large datasets of textual data to extract insights and improve the performance of AI language models .
A rapidly growing field.
AI Conversational Designer (Primary: AI, Conversational AI; Secondary: UX, NLP) Designs and implements engaging conversational interfaces for chatbots and virtual assistants.
Focuses on user experience and effective language interaction .
Machine Learning Engineer (NLP Focus) (Primary: Machine Learning, AI; Secondary: NLP, Deep Learning) Builds and deploys machine learning models specifically designed for natural language tasks.
Requires strong programming skills.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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