courseraАнализ данных

Decoding Large Language Models

Курс от Packt

Продвинутый≈ 24 чАнглийский

О курсе

Large Language Models (LLMs) are transforming the way organizations interact with data, automate tasks, and deliver personalized experiences. This course unpacks the architecture, training methods, and strategic implementation of LLMs—core skills for anyone looking to thrive in the evolving AI landscape. Through a structured journey from model fundamentals to advanced optimization and deployment, learners will gain practical expertise in fine-tuning, evaluating, and integrating LLMs into real-world systems. By the end, you’ll be able to design efficient, ethical, and scalable AI solutions that drive measurable business value. Unlike traditional AI courses, this program bridges deep theoretical understanding with hands-on insights drawn from production deployments and case studies. You’ll learn not only how LLMs work, but also how to make them work for you in real business contexts. This course is ideal for data scientists, software engineers, and IT professionals with a foundational understanding of AI or machine learning concepts. Prior experience with Python or neural networks is beneficial but not mandatory.

Навыки, которые вы освоите

Large Language Modeling Responsible AI Fine-tuning Model Optimization Transfer Learning Model Deployment Natural Language Processing Scalability AI Security Recurrent Neural Networks (RNNs)Generative Model Architectures Generative AI Prompt Engineering Model Evaluation AI Integrations LLM Application Deep Learning Model Training Machine Learning

Программа курса

15 модулей · 143 учебных материалов

01LLM Architecture12 материалов

Lesson 1

Course OverviewВидео LLM Architecture - Overview VideoВидео IntroductionЧтение TokenizationЧтение

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Packt - Course Instructors

Преподаватель курса