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This course is designed to address the growing demand for
expertise in Large Language Models (LLMs), which have
revolutionized the fields of Natural Language Processing
(NLP) and Artificial Intelligence (AI). As LLMs continue to
transform industries such as healthcare, finance, and
customer service, there is an increasing need for
professionals who can understand, deploy, and fine-tune
these models. The course provides students with both
theoretical foundations and hands-on experience in working
with transformer architectures, semantic search,
retrieval-augmented generation (RAG), and AI agents,
preparing them for real-world applications of LLMs. In
addition to theory, this course delves into practical
techniques for deploying LLMs in real-world environments,
including methods for local deployment, fine-tuning, and
integrating knowledge graphs to improve performance. By the
end of the course, students will be equipped to design,
implement, and evaluate complex LLM-based systems such as
personalized chatbots and AI agents working in collaborative
environments. This course will also prepare students for
cutting-edge research and practical challenges in NLP
and AI-driven systems, making it a crucial stepping
stone for future innovations in the field.
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