This course focuses on practical applications in real-world scenarios. Think of it as a guide that explains the most effective ways to interact with large language models and solve various problems.

• Module 1 begins by demystifying the basics of AI and shedding light on how large language models function. We'll clarify what prompt engineering is and what it isn't.

• In Module 2, we'll explore practical problem-solving techniques through real-life examples in various contexts. You'll discover how to craft prompts that effectively address challenges like information processing, content transformation, and content creation. We will examine the various operations within each category, including tasks like data analysis, text clarification, content modification, brainstorming, and planning, among others.

• Module 3 explores different prompt patterns, which serve as guides to enhance your interactions with AI. These patterns fall into different categories, each with a specific purpose. Some aim to enhance your interaction, others strive for improved AI output, while some set a context for optimal responses. There are patterns to minimize errors or bias, and others designed to refine how you express inputs to the AI. We'll explore each of these prompt patterns using simple and relatable examples.

• Finally, Module 4 wraps up with valuable tips to improve your prompt proficiency when engaging with ChatGPT.

Throughout the course, we'll use the free version of ChatGPT, but the principles apply to other large language models as well.