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The course focuses on Natural Language Processing (NLP), with an emphasis on Large Language Models (LLMs).
You will explore key NLP tasks and methods, learn to use pretrained language models, and gain an understanding of how modern LLMs and chatbots such as ChatGPT, DeepSeek, Gemini and Claude work. The course also covers practical applications of LLMs and RAG systems.
In addition to webinars, the course includes supplementary materials, self-assessment tests, and practical assignments.
The course is conducted by the team of the Artificial Intelligence Master’s Programme at HSE University’s Faculty of Computer Science and focuses on Natural Language Processing (NLP), with an emphasis on Large
Требования
Что нужно для старта
- Knowledge of the fundamental machine learning algorithms
- Working knowledge of Python
Результат
Что вы получите
- Understand the key concepts and methods of modern NLP
- Explain how modern language models are built and trained
- Apply modern techniques for working with LLMs
- Understand emerging LLM capabilities and systems
Содержание
10 занятийПрограмма курса
№ТемаЧто внутри
01Course Introduction
- About the course
- Pre-course Assessment
02Classical NLP and Word Embeddings
- Classical NLP and Word Embeddings
03Language Modeling and RNNs
- Language Modeling and RNNs
04The Transformer Architecture
- The Transformer Architecture
05BERT and Sentence Embeddings
- BERT and Sentence Embeddings
06GPT and RLHF: Towards ChatGPT
- GPT and RLHF: Towards ChatGPT
07Modern LLM Technologies and Long-Context Modeling
- Modern LLM Technologies and Long-Context Modeling
08Retrieval-Augmented Generation (RAG)
- Retrieval-Augmented Generation (RAG)
09Reasoning and AI-agents
- Reasoning and AI-agents
10Final Module
- Final Module
01Course Introduction
- About the course
- Pre-course Assessment
02Classical NLP and Word Embeddings
- Classical NLP and Word Embeddings
03Language Modeling and RNNs
- Language Modeling and RNNs
04The Transformer Architecture
- The Transformer Architecture
05BERT and Sentence Embeddings
- BERT and Sentence Embeddings
06GPT and RLHF: Towards ChatGPT
- GPT and RLHF: Towards ChatGPT
07Modern LLM Technologies and Long-Context Modeling
- Modern LLM Technologies and Long-Context Modeling
08Retrieval-Augmented Generation (RAG)
- Retrieval-Augmented Generation (RAG)
09Reasoning and AI-agents
- Reasoning and AI-agents
10Final Module
- Final Module
Организатор
Автор курса
Мнения учеников
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Информация обновлена 7 сентября 2026 г.
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