Foundations of Prompt Engineering with Llama 3

Unlocking the full potential of large language models like Llama 3 starts with knowing how to talk to them. Writing effective prompts is a foundational skill that transforms generative AI from an unpredictable assistant into a highly reliable tool. This text-only course guides you through the core principles of prompt engineering. By reading structured explanations, analyzing real-world prompt templates, and working through written exercises, you will learn how to design, test, and refine instructions that yield accurate and relevant outputs. What you'll learn: Understand the core elements of a prompt, including instructions, context, input data, and output formatting; Apply advanced prompting techniques like few-shot prompting, role-playing, and chain-of-thought reasoning; Configure system prompts and user prompts to control tone, style, and safety boundaries in Llama 3; Analyze the basics of retrieval-augmented generation (RAG) to ground model responses in factual data; Minimize hallucinations and biases by structuring clear constraints and validation steps within your text. You will start with the fundamental terminology of generative AI before moving on to practical prompt design patterns and written practice scenarios. The material progresses logically from simple single-turn prompts to complex, multi-step instruction structures. This course is designed for absolute beginners who want to communicate effectively with AI models, and no prior programming experience or technical background is required. Start reading today to master the art of structured communication with Llama 3.