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Advanced ChatGPT Prompt Engineering
Rating: 4.4 out of 5(8 ratings)
138 students

Advanced ChatGPT Prompt Engineering

Harnessing AI for Enhanced Thinking and Problem Solving
Created byPandora Studio
Last updated 5/2026
English
English [Auto],

What you'll learn

  • Understand the principles of advanced prompt engineering.
  • Explore techniques for iterative refinement of prompts.
  • Learn how to customize responses using in-context learning.
  • Assess perspectives and improve AI interactions.
  • Apply machine learning concepts in practical scenarios.

Course content

3 sections • 15 lectures • 49m total length

  • Introduction1:05

    This course on Advanced Prompt Engineering aims to equip participants with skills to create effective prompts for AI. Participants will learn techniques for refining their prompts, enhancing AI interactions, and applying machine learning concepts in practical scenarios.

  • Principle 11:35

    Lesson Description:
    This lesson shows how prompting is not about single questions, but about shaping meaning through an ongoing, evolving dialogue with AI.

    Learning Objective Summary:
    Learn to treat prompts as part of a flowing conversation where intent becomes clearer with each exchange, refining the AI’s output toward your goals.

  • Principle 2: LLMs as gateways to computational power1:54

    Learning Objective:
    By the end of this lesson, learners will grasp how Generative AI transforms raw computational power into meaningful human interaction through language. They will understand that each prompt is not just a question but a command that activates a vast network of intelligent computation, enabling them to tap into an engine of knowledge and creativity far beyond human capacity—simply by using natural language.

  • Principle 3: Using context and examples1:13

    By the end of this lesson, learners will understand how advanced prompt engineers use examples and context to shape and customize a Generative AI’s behavior. They will recognize that AI is not a fixed tool, but a flexible medium that can be trained to reflect personal values, goals, and communication styles—transforming it into a collaborative and aligned partner.

  • Principle 4: Enhance your thinking1:23

    Learning Objective:
    By the end of this lesson, learners will understand how advanced prompt engineers treat AI as a thought partner rather than a passive tool. They will learn how to engage in collaborative dialogue with AI to challenge assumptions, expand their thinking, and uncover deeper insights—transforming the creative process into a dynamic exchange that elevates both the outcome and their own understanding.

  • Principle 5: Understanding Prompt Components0:55

    Learning Objective:


    By the end of this lesson, learners will be able to identify and apply the four essential components of a powerful prompt—Instructions, Information, Context Examples, and Output Format. They will understand how advanced prompt engineers go beyond simple commands, structuring their prompts like detailed recipes to guide the AI toward more accurate, relevant, and intentional outcomes.

  • Developing Prompt Components2:00

    Here we will dive deeper into each one of the four prompt components outlined in the last lesson.

Requirements

  • Basic ChatGPT prompting skills

Description

Disclosure: This course includes the use of artificial intelligence.

Move beyond basic prompts and learn how to work with ChatGPT and similar language models with greater precision, consistency, and strategic intent.

The Advanced Prompt Engineering Course is designed for professionals who already understand the fundamentals of generative AI and want a more structured, practical approach to producing better results.

Turn prompting into a repeatable professional skill

Effective prompting involves more than writing detailed instructions. It requires a clear goal, relevant context, appropriate boundaries, and a process for evaluating and refining the response.

In this course, you will learn how to:

  • Structure clearer and more effective prompts.

  • Improve AI responses through iterative refinement.

  • Apply in-context learning to adapt outputs to specific needs.

  • Work with both structured and unstructured data.

  • Guide AI using preferences and different perspectives.

  • Develop a consistent and authentic writing persona.

  • Use retrieval-augmented generation—or RAG—to support more informed responses.

  • Apply practical prompting frameworks, including KERNEL and GCOB + Check.

  • Use AI as a thought partner for critical thinking, problem-solving, strategic planning, and creative work.

Learn through practical application

The course combines clear explanations with practical exercises, examples, and case studies. You will apply each technique to realistic situations and observe how changes in context, instructions, and refinement can significantly affect the quality of an AI-generated response.

The emphasis is not simply on automating tasks. You will learn how to collaborate with AI, evaluate its output, identify what needs improvement, and guide it toward a more useful result.

Who this course is for

This course is intended for professionals who already have foundational experience with ChatGPT or similar language models and want to improve the precision, creativity, and practical value of their interactions with AI.

By the end of the course, you will have a more systematic way to design prompts, refine responses, work with different types of information, and adapt AI to a variety of professional and creative contexts.

Who this course is for:

  • Basic and Advanced Intermediate ChatGPT users that want to become more advanced

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