Course Outline

Introduction to Natural Language Processing (NLP)

  • Overview of NLP and its applications
  • Key components: syntax, semantics, and pragmatics
  • The role of NLU within NLP

Understanding NLU Concepts

  • Definition and scope of Natural Language Understanding
  • Differences between NLU and NLP
  • Basic algorithms used in NLU

Basic NLU Techniques

  • Tokenization and sentence segmentation
  • Named entity recognition (NER)
  • Sentiment analysis and text classification

Language Modeling in NLU

  • Introduction to statistical and neural language models
  • Exploring word embeddings and context-aware models
  • Applications of language models in NLU tasks

Challenges in NLU

  • Ambiguity in natural language
  • Contextual understanding and disambiguation
  • Dealing with low-resource languages

Applications of NLU

  • NLU in chatbots and virtual assistants
  • Information extraction from unstructured text
  • Case studies in various industries

Future Trends in NLU

  • Advancements in deep learning for NLU
  • Emerging techniques in contextual understanding
  • The future of human-AI communication

Summary and Next Steps

Requirements

  • Basic knowledge of programming (Python)
  • Interest in AI and language technologies

Audience

  • AI beginners
  • Data science students
  • Tech enthusiasts
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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