Prompt Engineering (2026)
 

A comprehensive study guide
What you'll learn
⚡ Types of prompts
⚡ Key elements of prompts
⚡ Prompt Engineering key arameters
⚡ Use cases and best practices
Requirements
❗ Generative AI Fundamentals by Amit Prabhu
Description
Master artificial intelligence communication with this comprehensive study guide designed for all skill levels. This course transforms you from a basic AI user into an expert prompt engineer, unlocking the full potential of large language models like ChatGPT, Claude, and Gemini.
We begin by exploring the core foundational concepts, including the different types of prompts and the essential key elements required to build a perfect prompt. You will dive deep into crucial technical configurations, mastering key parameters like temperature and top-p to control AI behavior.
Through practical, real-world prompt engineering use cases, you will learn to apply advanced prompting techniques such as chain-of-thought and few-shot prompting. Furthermore, you will discover sophisticated output selection techniques to filter, evaluate, and ensure the highest quality AI responses.
To truly bridge the gap between theory and execution, you will engage in hands-on building exercises across diverse industries. We will tackle complex scenarios ranging from software development automation to data analysis and creative content generation. You will also analyze common prompting pitfalls and learn exactly how to debug failing inputs in real time. These structured challenges ensure that you gain immediate, practical confidence rather than just passive conceptual knowledge.
Finally, the curriculum covers prompt engineering best practices to optimize your workflow, reduce errors, and save API costs. By the end of this course, you will possess a structured mental framework to engineer high-performing prompts for any personal or professional project.
Who this course is for
⭐ Technical and non-technical professionals
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