Prompt Engineering and Agentic AI Fundamentals

Generative AI is transforming how we work, but the quality of your results depends entirely on how you communicate with the model. Learning how to craft precise, structured prompts is the single most important skill for unlocking the full potential of large language models. This text-based course guides you from foundational AI concepts to advanced prompting methodologies. You will learn how to structure instructions, guide model behavior, and lay the groundwork for agentic AI workflows that execute multi-step tasks. What you'll learn: Understand the core architecture of large language models and how they process text; Apply essential prompting techniques, including few-shot prompting and system role definition; Design structured prompts using chain-of-thought reasoning to solve complex problems; Explore the basics of agentic AI and how to direct models to act as autonomous assistants; Identify and mitigate common prompt vulnerabilities, such as prompt injection and hallucination; Practice writing clear, iterative instructions for platforms like ChatGPT through written exercises. We begin with the absolute basics of LLMs, exploring terminology and how models generate tokens. From there, you will progress through structured text-based lessons and practical written examples that illustrate how small changes in your prompt can dramatically improve the model's output. This course is designed specifically for beginners, and no programming experience or prior background in artificial intelligence is required. Start reading today to master the art and science of prompt engineering.