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Coursera

Prompt Engineering for ChatGPT: Beginner to Advanced

LearnKartS via Coursera

Overview

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The difference between an average AI response and an exceptional one isn’t the chatbot; it’s the prompt. In this Prompt Engineering for ChatGPT course, you will learn how to write clear and strategic prompts to produce more accurate & impactful responses. Designed for beginners, the course starts with the basics: how generative AI & ChatGPT work, then moves into prompt structure, priming, & root prompts. Then it goes into more advanced things like Chain-of-Thought, Few-Shot, Zero-Shot prompting, and frameworks like the Persona Pattern and Recipe Pattern. It ends with real-world workflows and responsible AI practices. The unique thing about this course is that it’s practical. You won’t just learn theory. You'll put your knowledge into practice, which helps you tackle real-world challenges, automate workflows, & create high-quality content at scale. By the end, you'll be writing prompts that produce sharp, structured output, whether it's text, images, or code. You'll know how to apply advanced techniques on demand, build your own reusable frameworks, & put AI to work to automate your everyday repetitive tasks. Enroll now & make every interaction with AI more effective.

Syllabus

  • Introduction and Capabilities of Generative AI
    • In this module, you will explore the fundamentals of Generative AI, its evolution, and its wide range of applications. You will also learn about various AI tools for text, image, audio, and code generation, with a focus on how ChatGPT works.
  • Fundamentals of Prompt Engineering
    • This module introduces the key concepts of prompt engineering, focusing on how to structure and optimize prompts to generate high-quality outputs. You will also learn about prompt priming, root prompts, and techniques to enhance your prompts’ effectiveness.
  • Advanced Prompt Engineering Techniques
    • In this module, you will dive deeper into advanced prompt engineering techniques such as Few-Shot Prompting, Chain of Thought, and other methods to refine your prompts. These strategies will help you create more precise and actionable AI outputs.
  • Prompt Patterns and Frameworks
    • Here, you’ll learn about various prompt patterns and frameworks like Persona Patterns and Audience Persona Patterns to enhance your prompts. This module will teach you how to apply these frameworks to create structured, high-performing prompts consistently.
  • Applying Prompt Engineering in Practice
    • This final module focuses on applying your prompt engineering skills to real-world scenarios. You will learn how to design effective prompt workflows, use modifiers for better outputs, and follow best practices for responsible AI use.

Taught by

LearnKartS and Tanmoy Kumar Das

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