Prompt Engineering for Beginners: Working with Large Language Models

Artificial intelligence is transforming how we work, but getting the best results from modern AI models requires knowing how to speak their language. This text-based course teaches you how to construct clear, effective prompts that turn raw AI potential into practical business and career solutions.\n\nYou will start with core concepts and key terminology, building a strong foundation in how large language models process information. From there, you will transition to practical prompt design techniques, learning how to guide AI outputs with precision and avoid common pitfalls like hallucination.\n\nWhat you'll learn:\n- Understand the foundational concepts of large language models and how they interpret text\n- Apply core prompting patterns including few-shot prompting and system role definitions\n- Construct structured prompts to automate repetitive tasks and generate high-quality content\n- Practice chain-of-thought prompting to help AI solve complex, step-by-step problems\n- Identify and mitigate common AI limitations, bias, and hallucination risks\n- Explore modern AI workflows, including how prompt engineering integrates with retrieval-augmented generation (RAG)\n\nThis course begins with essential definitions and theoretical foundations before guiding you through structured written exercises and real-world scenarios. It is designed entirely for beginners with no prior programming experience or technical background required.\n\nStart reading today to unlock the full potential of artificial intelligence in your daily work.