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Great Learning

Prompt Engineering for ChatGPT

via Great Learning

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Overview

This free online prompt engineering course will help you develop practical skills in utilizing Generative AI and Prompt Engineering, upgraded with GPT-5 refined prompts, to generate more accurate, relevant, and human-like content. By learning to interact with AI models effectively, you’ll enhance your ability to create high-quality text, improve productivity, and apply these techniques across a variety of professional fields. You’ll learn the core principles behind Generative AI and Large Language Models, as well as how to craft precise prompts that guide AI outputs. The course will also teach you advanced strategies to refine model responses and avoid common mistakes, enabling you to optimize your results. Additionally, you’ll explore how prompt engineering can enhance AI-driven applications in areas like content creation, coding, and customer support, allowing you to leverage AI tools in real-world situations.

Syllabus

  • Introduction to Generative AI
    • In this module, we will explore AI systems that generate content from textual inputs, producing diverse, human-like outputs in various forms.
  • Introduction to LLMs and its Working
    • In this module, we will explore Large Language Models (LLMs), which utilize vast data to predict text, enhancing tasks like translation and content generation.
  • Basics of Prompt Engineering
    • In this module, we will delve into Prompt Engineering basics, examine key components of effective prompts, and analyze illustrative examples to enhance model interaction and output control.
  • Defining a Good Prompt with examples
    • In this module, we will learn how to craft effective prompts for AI, enhancing accuracy and relevance with practical examples.
  • Advanced Prompt with examples
    • In this module, we will delve into advanced prompt techniques, using examples to teach zero-shot learning, few-shot learning, and chain of thought processes for enhanced model interaction.
  • Prompting Errors and Limitations
    • In this module, we will examine common prompting errors and limitations of generative models, focusing on improving accuracy and reducing biases in outputs.
  • Applications of Prompt Engineering
    • In this module, we will discover how prompt engineering enhances AI applications, improving content generation, code development, and customer interactions across various sectors.
  • Introduction to ChatGPT and its Versions
    • In this module, you will learn about the features and functionalities of ChatGPT 4.5, o1, and o3-mini, its key improvements, and how to execute sample prompts across new versions of ChatGPT 4.5, o1, and o3-mini for optimal usage.

Taught by

Sunakshi Mamgain

Reviews

5.0 rating, based on 1 Class Central review

4.6 rating at Great Learning based on 7489 ratings

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  • Profile image for André Luis Silva
    André Luis Silva
    O curso de Inteligência Artificial superou minhas expectativas de forma consistente e fundamentada. O conteúdo foi estruturado com base em referências sólidas da área, alinhado a conceitos consolidados como aprendizado de máquina, redes neurais e ética em IA, sem perder a clareza didática.

    A abordagem equilibrou teoria e prática de maneira exemplar. Conceitos como aprendizado supervisionado, não supervisionado e modelos de deep learning foram apresentados de forma objetiva, com exemplos aplicados e exercícios reais. A didática demonstra domínio técnico e atualização constante, refletindo o que é discutido hoje por instituições de excelência como a Stanford University e o Massachusetts Institute of Technology.
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