Large Language Models (LLMs) Fundamentals (Udemy.com)

Large Language Models (LLMs) are reshaping how we communicate, create, and work. From ChatGPT and Google Bard to Claude, Mistral, and LLaMA, these powerful AI models are now deeply embedded in everything from customer service and software development to education and creative industries. But how do they actually work and how can you use them effectively?

This beginner-friendly course is your comprehensive introduction to the world of LLMs. It’s designed for anyone curious about artificial intelligence, whether you're a student, professional, researcher, or product builder. No prior coding or machine learning experience is required just a willingness to learn.

You’ll explore how these models are built, what they can (and can’t) do, and how to get the most out of them. We’ll cover the basics of model architecture, training data, tokenization, and the rise of open-source alternatives. Plus, you’ll get hands-on with prompt engineering—the art of communicating with AI clearly and effectively.

Key Takeaways:

• Understand how Large Language Models like GPT, Claude, and LLaMA are trained and function

• Explore the differences between proprietary and open-source models (e.g., OpenAI vs. Meta)

• Learn foundational concepts like tokens, parameters, and fine-tuning

• Discover real-world applications in writing, coding, search, research, and more

• Master the basics of prompt engineering and AI interaction

• Gain insight into the future of LLMs and ethical considerations around their use

  
  

By the end of this course, you’ll have a strong grasp of how large language models operate, where they’re used in the real world, and how you can leverage them effectively—whether you're building the next big app or simply using AI to work smarter.