Natural Language ProcessingDoctoral⭐ Featured

Natural Language Processing & Large Language Models

Explore the cutting edge of NLP — from classical methods to GPT-scale transformers and beyond.

4.8
·28 weeks·Limited to 35 students
P

Prof. Marcus Williams

Program Director & Lead Instructor

Natural Language Processing & Large Language Models

$48K

Full program tuition · Payment plans available

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⏱️28 weeks program
🎓PhD-level certification
💻100% online & flexible
🌐Live classes + recordings
👨‍🏫1-on-1 mentorship

About This Program

This program covers the full spectrum of Natural Language Processing, from foundational linguistic theory to the latest advances in large language models. You will learn how to pre-train, fine-tune, and deploy state-of-the-art language models for real-world applications. Topics include tokenization, word embeddings, attention mechanisms, transformer architectures, RLHF, prompt engineering, and responsible AI deployment. Capstone projects involve building your own language model pipeline.

What You'll Learn

Build and fine-tune large language models
Implement attention mechanisms and transformers
Apply RLHF and instruction tuning techniques
Deploy production-ready NLP pipelines
Conduct NLP research with rigorous evaluation
Publish in top NLP venues (ACL, EMNLP, NAACL)

Prerequisites

  • Python and PyTorch proficiency
  • Deep learning fundamentals
  • Basic NLP experience recommended
  • Statistics and probability

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Program Details

Duration28 weeks
LevelDoctoral
SpecializationNatural Language Processing
FormatOnline + Live Sessions
LanguageEnglish
CertificatePhD-Level Certification

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