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Deep Learning for NLU: Beyond NLP Models

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level professionals who wish to specialize in cutting-edge deep learning techniques for NLU.By the end of this training, participants will be able to:
  • Understand the key differences between NLU and NLP models.
  • Apply advanced deep learning techniques to NLU tasks.
  • Explore deep architectures such as transformers and attention mechanisms.
  • Leverage future trends in NLU for building sophisticated AI systems.
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AI for Semantic Understanding, Contextual AI, and NLU

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level professionals who wish to explore the cutting-edge techniques in NLU and semantic understanding.By the end of this training, participants will be able to:
  • Understand the principles of semantic understanding and contextual AI.
  • Work with state-of-the-art models like transformers and pre-trained language models.
  • Implement NLU techniques for improved AI language comprehension.
  • Develop applications that leverage semantic analysis and contextual AI.
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Advanced Techniques in NLU for AI

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level professionals who wish to deepen their expertise in modern NLU techniques.By the end of this training, participants will be able to:
  • Implement advanced NLU techniques for AI systems.
  • Leverage deep learning models for semantic understanding.
  • Perform intent recognition and classification in complex applications.
  • Utilize state-of-the-art tools like Hugging Face Transformers for NLU tasks.
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Foundations of Natural Language Understanding (NLU)

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level participants who wish to learn the fundamentals of NLU and how it fits into the larger NLP landscape.By the end of this training, participants will be able to:
  • Understand the foundational concepts of Natural Language Understanding (NLU).
  • Differentiate between NLU and NLP.
  • Explore basic techniques for language interpretation and context understanding.
  • Apply NLU techniques to simple text processing tasks.
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