Understand how LLMs work, how they evolved from early AI research into ChatGPT, Gemini, and Claude, and how to write effective prompts to get better results.
Large language models are reshaping how we work, write, search, and build software. But most people using them have no idea how they actually work, where they came from, or why they sometimes get things wrong. This course fixes that.
We start with the fundamentals: what an LLM is, how it processes language, and what it can and cannot do. From there we trace the history of the technology from early rule-based systems through the transformer revolution and into the wave of accessible AI tools that launched with ChatGPT in late 2022. We cover the three major platforms you are most likely to encounter: ChatGPT from OpenAI, Gemini from Google, and Claude from Anthropic, including what makes each one distinct.
The second half of the course is practical. You will learn how to write prompts that actually work, common mistakes that produce weak results, and advanced techniques like chain-of-thought prompting and structured output that dramatically improve what you get back. The course closes with a practical guide to choosing the right tool for the job and getting started today.
No technical background is required. Whether you are curious about AI, using it casually, or trying to build it into your work, this course gives you a grounded, honest foundation.
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