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Certificate Programme in Machine Learning for Natural Language Generation
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- Introduction to Natural Language Processing (NLP) and Natural Language Generation (NLG)
- Fundamentals of Machine Learning for NLG
- Text Preprocessing and Feature Engineering for NLG
- Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for text generation
- Transformer Networks and Attention Mechanisms for NLG
- Sequence-to-Sequence Models for NLG
- Evaluation Metrics for NLG Systems (BLEU, ROUGE, METEOR)
- Practical Applications of NLG (Chatbots, Machine Translation, Summarization)
- Ethical Considerations in NLG
- Advanced Topics in NLG (Reinforcement Learning for NLG, Controllable Text Generation)
CareerPath
Career Roles in Natural Language Generation (NLG) Description Machine Learning Engineer (NLG) Develops and implements advanced machine learning algorithms for natural language generation tasks, focusing on model building and optimization.
High industry demand.
NLP Scientist Conducts research and development in natural language processing , focusing on NLG techniques.
Requires strong theoretical understanding and publication experience.
Data Scientist (NLG focus) Applies machine learning and statistical methods to large datasets to improve NLG models.
Strong data analysis and visualization skills are vital.
AI/ML Engineer (Conversational AI) Builds and maintains conversational AI systems using natural language generation techniques; creating chatbots, virtual assistants, and other interactive applications.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
- NotRegulatedAuthorized
- ComplementaryFormalQualifications
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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