AIFLX

Library / Artificial Intelligence

Large Language Models (LLMs) Explained: From Zero to AI Apps

On Udemy

About this course

This course contains the use of artificial intelligence.

Have you ever wondered how ChatGPT and modern AI assistants actually work?

This course provides a complete beginner-friendly journey into the world of Large Language Models (LLMs) and Generative AI. You will learn the core concepts behind today's most powerful AI systems and understand how they transform human language into intelligent responses.

Starting from the fundamentals, you will explore how Large Language Models process text using tokens, tokenization, embeddings, neural networks, Transformers, and attention mechanisms. You will understand how AI models learn patterns, generate responses, and represent meaning mathematically.

Throughout the course, you will discover the complete lifecycle of modern LLMs:

  • How text becomes tokens and token IDs
  • How embeddings allow AI systems to understand relationships and meaning
  • How neural networks and Transformers power modern language models
  • How attention mechanisms help models focus on important information
  • How LLMs are trained, evaluated, and improved
  • How context windows, prompting, and token efficiency affect AI applications
  • How Retrieval-Augmented Generation (RAG) connects LLMs with external knowledge
  • How modern AI applications are built using LLM technologies

This course focuses on understanding the technology behind AI applications, not just using AI tools. You will build the mental model needed to confidently explore AI engineering, RAG systems, AI agents, and LLM-powered applications.

By the end of this course, you will have a strong foundation in Large Language Models and understand the concepts used behind ChatGPT-style applications.

Who is this course for?

  • Beginners who want to understand how modern AI works
  • Developers preparing to build AI-powered applications
  • Software engineers exploring Generative AI and LLM technologies
  • Students and professionals entering the AI field
  • Anyone who wants to

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