Introduction to Large Language Models

In this Introduction to Large Language Models course, you’ll learn how these advanced AI systems understand and generate human-like language. Businesses rely on them for creating content and automating customer support, making them a key part of AI-driven solutions.

You’ll start by exploring what LLMs are and how they function in AI-driven applications. The course covers their evolution from early rule-based models to the advanced transformer-based systems in modern AI. You’ll also learn how self-attention, encoding, and decoding processes help LLMs to analyze and generate language effectively. Finally, you’ll discover the training process behind LLMs and how they can be optimized and fine-tuned to deliver accurate responses.

By the end of this course, you’ll have a strong foundation in LLMs, allowing you to understand their role in AI. You’ll also learn how businesses use them to drive innovation.

Learning Objectives:

• Understand what Large Language Models are and how they support AI
• Identify the core components of transformer-based LLMs
• Understand the training process and data requirements for LLMs
• Analyze how LLMs can be applied in real-world business settings