Prompt Engineering Frameworks & Methodologies

Name: Prompt Engineering Frameworks & Methodologies
Rating: 4.1 (582 reviews)

Generative AI: DeepSeek, Gemini & Sora labs, auto‑priming, hyperparameter tuning, ethical safeguards

Created byEduardo Aponte, PhD, Finnse Academy

Last updated 6/2026

English

English [Auto],French [Auto],

What you'll learn

You will master key prompt frameworks—Chain‑ and Skeleton‑of‑Thought—to generate precise outputs.
You will design domain‑specific prompts using auto‑priming and fine‑tuning for optimal performance.
You will optimize prompts with hyperparameter tuning and scaling‑law insights to boost model accuracy.
You will craft effective prompts in DeepSeek, Gemini, Sora, and ChatGPT production workflows.
You will apply ethical guidelines to ensure prompt fairness, transparency, and responsible AI deployment.

Course content

4 sections • 17 lectures • 1h 45m total length

Introduction to the Course1:55
Meet an economist with a finance master's and a PhD in management, and discover the course content and what you can achieve by the end of the course.
Introduction to Prompt Engineering6:20
Explore how prompt engineering designs clear, context-rich prompts to guide natural language AI interactions with large language models, improving accuracy, usefulness, and real-world impact.
Picking the best ChatGPT model3:29
Choose the right ChatGPT model by weighing reasoning versus non-reasoning families, and balance depth, speed, and subscription limits across all three, all four mini high, and GPT-4/4.5 options.
Prompt Engineering Techniques – Thought Structures7:40
Explore prompt engineering techniques using three thought structures—chain of truth, tree of truth, and graph algorithm—for comparative analysis and guiding AI reasoning with practical, cross-industry examples.
Domain & Contextual Specific Prompt Design Strategies7:31
Tailor prompts to each domain by incorporating domain language, context, and audience needs to generate precise, relevant outputs for education, healthcare, finance, and beyond.
Auto-Priming and Chain of Density7:07
Learn auto priming and the chain of density to provide AI with layered context, reduce ambiguity, and guide precise responses through practical demonstrations.

Fundamentals of Prompt Fine-Tuning7:25
Fine-tune prompts to optimize AI performance by adjusting wording, structure, and context for clearer, more relevant outputs through iterative testing and evaluation.
Advanced Prompt Optimization Strategies6:24
Master advanced prompt optimization by tuning parameters and calibrating responses, then apply iterative and heavy testing with analytics to improve accuracy and relevance in customer support, education, and creative tasks.
Comprehensive Hyperparameter Tuning8:09
Tune hyperparameters, including temperature, max tokens, and top_p, to improve language model responses, then practice crafting a smartwatch health features description and assess precision, engagement, and output length.
Scaling Laws in Prompt Engineering6:45
Explore scaling laws and their impact on prompt engineering, revealing how model size and data shape performance and how to tailor prompts for small and large models.

DeepSeek in Practice5:11
Practice translating needs into clear AI prompts by drafting a social post for a swimwear brand, highlighting recycled materials, sun and sea, and ocean conservation with a call to action.
Gemini in Practice5:47
Explore prompt engineering with the chain of density approach to calculate the future value of investments using Gemini and compound interest, featuring step-by-step, year-by-year calculations.
Creating Images and Videos with Sora6:48
Learn to create images and videos with Sora, an OpenAI tool in ChatGPT, by using a four-part prompt structure, context, visual elements, and style, to craft urban art cafe posters.
Creating a Custom GPT5:52
Create a custom GPT for marketing copy by training it with instructions and brand guide files, set its name and system prompts, upload files, test, and save or share.

Emerging Trends in Prompt Engineering Research7:23
Explore dynamic, context-aware prompts and reinforcement learning from user feedback. Examine few-shot and zero-shot methods, modular prompts, and hybrid evaluation to build fair, robust ai.
Integrating Cutting-Edge Techniques into Practice5:16
Stay updated on the latest research and pilot small, iterative prompt engineering techniques. Collaborate across disciplines to apply cutting-edge methods to chatbots, improving accuracy, consistency, and user satisfaction.
Ethical Considerations and Responsible AI6:52
Examine ethical challenges and biases in AI prompt engineering and outline responsible design practices—ensuring transparency, fairness, accountability, diverse data, iterative testing, and thorough documentation.
Quiz

Requirements

No previous experience is necessary.

Description

Imagine sitting at your keyboard and having every AI tool respond as if it were built just for you—clear, on‑target, and bursting with ideas you can use right away. That’s exactly what you’ll unlock in our new course, “Prompt Engineering.” Over four dynamic modules, we’ll show you how to ask questions that bring out the best in AI, whether you’re brainstorming marketing campaigns, drafting reports, or turning rough sketches into polished videos. You’ll practice live inside today’s most popular platforms—DeepSeek, Gemini, Sora, and ChatGPT—so the moment class ends, you can apply what you’ve learned to real‑world projects. And because great power demands great responsibility, we’ll also guide you through simple, commonsense ways to use these tools ethically and safely. No coding background? No problem. All you need is curiosity and a desire to work smarter. Enroll in “Prompt Engineering” today, and start turning everyday questions into extraordinary results.

Course Objectives:

You will master foundational prompt engineering frameworks—from Chain‑of‑Thought to Skeleton‑of‑Thought—and recognize when each structure generates the most relevant, high‑quality outputs.
You will design and fine‑tune domain‑specific prompts, applying auto‑priming, hyperparameter tuning, and scaling‑law insights to iteratively optimize model performance.
You will apply advanced optimization methodologies to real tools—DeepSeek, Gemini, Sora, and custom GPTs—to craft text, image, and video prompts that drive measurable business value.
You will critically evaluate and integrate cutting‑edge research findings into your workflow, staying ahead of emerging trends and methodologies in prompt engineering.
You will embed ethical, transparent, and responsible AI practices into every stage of prompt creation, ensuring fairness, accountability, and user trust.

Prompt Engineering Frameworks & Methodologies

What you'll learn

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Course content

Foundations of Prompt Engineering6 lectures • 34min

Optimization and Fine-Tuning4 lectures • 29min

Practical Prompt Engineering Lab4 lectures • 24min

Cutting-Edge Research and Future Directions3 lectures • 20min

Requirements

Description

Who this course is for: