This course by freeCodeCamp and developed by Ania Kubów teaches the fundamentals of Prompt Engineering for ChatGPT and other Large Language Models (LLMs). The course is beginner-friendly and focuses on how to write better prompts to generate more accurate, creative, and useful AI responses.

You will learn what Prompt Engineering is, how AI and language models work, and why Machine Learning is important in modern AI systems. The tutorial explains key concepts including GPT-4 prompting, zero-shot prompts, few-shot prompts, embeddings, vectors, and AI hallucinations.

The course also introduces the prompt engineering mindset and shares practical best practices for interacting with AI tools effectively. Learners will discover how small prompt changes can dramatically improve the quality of generated responses for coding, writing, automation, brainstorming, research, and productivity tasks.

This tutorial is ideal for beginners, developers, students, content creators, marketers, and anyone interested in Generative AI and ChatGPT. By the end of the course, learners will understand how to communicate efficiently with AI systems and optimize LLM outputs for real-world applications.