Advanced ChatGPT Prompt Engineering

Name: Advanced ChatGPT Prompt Engineering
Rating: 4.4 (8 reviews)

Harnessing AI for Enhanced Thinking and Problem Solving

New

Created byPandora Studio

Last updated 5/2026

English

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.

Technique #1: Iterative refinement2:27
Learning Objective:

By the end of this lesson, learners will understand the value of iteration in prompt engineering. They will recognize that the first prompt is rarely final and learn how to refine their inputs based on AI responses—shaping and improving outcomes through a sculptor-like, back-and-forth process that leads to greater precision and insight.
Technique #2: In-Context Learning3:07
Learning Objective:

By the end of this lesson, learners will understand how to use in-context learning to shape the AI’s voice, tone, and persona. They will learn to guide the AI’s behavior by providing examples within the prompt—similar to giving a script to an actor—so that responses align with a specific style or role, enhancing clarity, consistency, and creative control.
Technique #3: Refining Responses with feedback2:14
Learning Objective:

By the end of this lesson, learners will understand the concept of preference-driven refinement—a technique where AI responses are improved over multiple interactions based on user feedback. They will learn how to treat AI like a responsive editor that adapts to their personal tone, style, and preferences, leading to more aligned, polished, and individualized outputs over time.
Technique #4: Evaluating and Assesing Perspectives3:22
Learning Objective:

By the end of this lesson, learners will understand how to apply perspective-driven problem-solving in prompt engineering. They will learn to prompt AI not just to generate diverse ideas, but to evaluate and compare them—mirroring a collaborative brainstorming session that deepens analysis and leads to more thoughtful, well-rounded solutions.
Technique #5: Retrieval Augmented Generation3:16
Learning Objective:

By the end of this lesson, learners will understand the concept of Retrieval Augmented Generation (RAG) and how it transforms AI into a focused, data-informed assistant. They will learn how to guide AI outputs by providing relevant documents, notes, or context—ensuring responses are not just smart, but anchored in the specific information that matters most to their task.
The Kernel technique for creating powerful prompts4:43
Over the past year, a leading AI practitioner spent more than a thousand hours refining prompt engineering techniques. Through extensive experimentation, they identified six habits that consistently led to better results, which were distilled into the KERNEL framework. By applying these principles, their team saw a dramatic improvement in success rates, speed, and accuracy.
ChatGPT Agent Mode19:54
A practical, hands‑on guide to mastering ChatGPT Agent Mode—teaching when to use it, how to steer it effectively, and how to turn complex tasks into structured, high‑quality outcomes

Requirements

Basic ChatGPT prompting skills

Description

Hello fellow prompt engineers, please be advised that this course contains the use of artificial intelligence.

The Advanced Prompt Engineering Course is designed for professionals eager to take their AI prompting skills to the next level and optimize their interactions with cutting-edge language models. This program dives deep into the principles and techniques of advanced prompt engineering, providing a solid foundation in iterative refinement strategies, in-context learning customization, and the practical application of machine learning concepts to real-world scenarios. Participants will not only learn how to structure more powerful and effective prompts but also how to guide AI systems in a way that mirrors expert reasoning and adapts to complex challenges.

Throughout the course, participants will explore how to leverage AI to enhance critical thinking, manage both structured and unstructured data, and shape a consistent and authentic writing persona for professional and creative uses. Special emphasis will be placed on using AI as a tool for augmentation rather than simple automation, encouraging participants to integrate AI as a cognitive partner in their daily work. Practical exercises and case studies will allow learners to apply these concepts immediately, reinforcing the techniques through hands-on experience.

This course is ideal for individuals who already have a foundational knowledge of ChatGPT or similar models and are now ready to refine their techniques for greater precision, creativity, and impact. By the end of the journey, participants will be equipped not just with new technical skills, but with a new mindset: one that views AI as a true thought partner capable of elevating problem-solving, strategic planning, and innovation. The experience promises to be both engaging and transformational.

Who this course is for:

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

Advanced ChatGPT Prompt Engineering

What you'll learn

Explore related topics

Course content

Introduction7 lectures • 10min

Section 2: Advanced Prompt Engineering Techniques7 lectures • 39min

Final Summary1 lecture • 1min

Requirements

Description

Who this course is for: