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What you'll learn

Understand the definition and role of language models in natural language understanding.

Explore the evolution and techniques commonly used in language models.

Identify real-world applications of language models across various industries.

Master the basics of neural networks, deep learning, and transformer architecture.

Skills you'll gain

Artificial Intelligence and Machine Learning (AI/ML)

Prompt Engineering

Natural Language Processing

Generative AI

Machine Learning Methods

Large Language Modeling

Deep Learning

Artificial Neural Networks

There are 4 modules in this course

Led by Andreea Turcu, H2O ai's expert in AI education, you will start by learning what a language model is and its crucial role in natural language understanding. We'll explore the evolution of these models and delve into the techniques used to develop and refine them. The course also highlights real-world applications across industries, demonstrating the transformative power of LLMs. You will also gain a strong foundation in neural networks and deep learning, essential for mastering advanced AI techniques. A significant portion of the course focuses on transformer architecture, the backbone of modern LLMs, and compares it with other architectures to highlight key innovations. We'll guide you through the methodologies of pre-training and fine-tuning LLMs, emphasizing transfer learning and domain-specific adaptation. By the end of the course, you'll have the skills to create and apply language models effectively, making you a strong candidate for roles in natural language processing, machine learning, and data science. Come aboard our dynamic course, where you'll dive into practical applications of language models and supercharge your AI career!

Understanding Transformers

Advanced Techniques in LLM

Course Completion Quiz