Worcester, MA – Regus at Campus Square

370 Main Street, Worcester, United States, 01608

The venue is located in the LEED Gold–certified Campus Square building at 370 Main Street in the heart of Worcester, easily reachable by car via I‑290 or I‑90, with abundant on-site parking and municipal garages nearby. From Worcester Regional Airport (ORH), about 5 miles west, a taxi or rideshare takes 10–15 minutes via Airport Drive and Main Street. Public transit is seamless: multiple WRTA bus routes stop just outside the building, and Worcester Amtrak/MBTA train station is an easy 12-minute walk, allowing easy access without a car.

Explore Our Courses

Deep Learning for NLU: Beyond NLP Models

 21 Hours

This instructor-led, live training in Worcester (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 Worcester (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 Worcester (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 Worcester (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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Upcoming Courses

Deep Learning for NLU: Beyond NLP Models

2025-08-05 9:30 am
21 hours
Worcester, MA – Regus at Campus Square
$ 4054 (Online)
$ 4054 (Classroom)

Advanced Techniques in NLU for AI

2025-08-19 9:30 am
14 hours
Worcester, MA – Regus at Campus Square
$ 2703 (Online)
$ 2703 (Classroom)

AI for Semantic Understanding, Contextual AI, and NLU

2025-09-02 9:30 am
14 hours
Worcester, MA – Regus at Campus Square
$ 2703 (Online)
$ 2703 (Classroom)

Foundations of Natural Language Understanding (NLU)

2025-09-16 9:30 am
14 hours
Worcester, MA – Regus at Campus Square
$ 2703 (Online)
$ 2703 (Classroom)

Foundations of Natural Language Understanding (NLU)

2025-09-30 9:30 am
14 hours
Worcester, MA – Regus at Campus Square
$ 2703 (Online)
$ 2703 (Classroom)

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Natural Language Understanding (NLU) Consulting
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