Professional Certificate in Natural Language Understanding Models

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Natural Language Understanding (NLU) models are transforming industries. This Professional Certificate provides practical skills in building and deploying these powerful tools.

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About this course

Learn core NLU techniques, including text preprocessing, named entity recognition, and sentiment analysis. Master popular deep learning frameworks like TensorFlow and PyTorch. Real-world case studies illustrate applications in various fields. Designed for data scientists, engineers, and anyone seeking to leverage AI for text analysis and natural language processing. Advance your career with this in-demand expertise. Explore the curriculum and enroll today!

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Course details

• Introduction to Natural Language Processing (NLP)
• Core NLP Techniques: Tokenization, Stemming, Lemmatization
• Word Embeddings and Vector Representations (Word2Vec, GloVe, FastText)
• Recurrent Neural Networks (RNNs) for NLP
• Transformers and Attention Mechanisms
• Building and Evaluating NLP Models
• Named Entity Recognition (NER) and Part-of-Speech (POS) Tagging
• Sentiment Analysis and Text Classification
• Machine Translation and Text Summarization
• Ethical Considerations in NLP

Career path

Career Role (Natural Language Processing) Description
NLP Engineer (Machine Learning) Develops and deploys cutting-edge NLP models for various applications, leveraging machine learning techniques. High demand in UK tech.
Data Scientist (Text Analytics) Extracts valuable insights from textual data using NLP techniques, contributing to strategic business decisions. Strong analytical skills required.
NLP Research Scientist (Deep Learning) Conducts advanced research in NLP, focusing on areas like deep learning and natural language generation. PhD preferred in related field.
Language Technology Specialist (AI) Designs and implements language-based AI solutions, integrating NLP models into diverse applications like chatbots and virtual assistants.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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PROFESSIONAL CERTIFICATE IN NATURAL LANGUAGE UNDERSTANDING MODELS
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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