About Course

What if the difference between mediocre and exceptional AI output wasn’t the model you’re using – but the way you prompt it?

This course explores the craft of communicating with large language models in a way that actually gets results. It’s not about technical tweaks or model weights. It’s about understanding how to guide the system, how to shape its responses, and how to structure your instructions with clarity, purpose, and precision.

We’ll break down the fundamentals of prompt construction, explore advanced patterns used in real-world applications, and cover everything from assistants to agents, from zero-shot prompts to multimodal systems. By the end, you won’t just know how prompting works – you’ll know how to make it work for you.

Whether you’re using ChatGPT, Claude, Gemini, or LLaMA, this course gives you the tools to go from trial-and-error to intent and control.

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What Will You Learn?

  • Understand how and why different prompting styles work
  • Craft system-level instructions that shape AI personality and tone
  • Chain prompts for complex tasks and reasoning
  • Evaluate and refine your prompts like a pro
  • Build your own reusable frameworks for content, decision-making, and productivity
  • Avoid the common pitfalls that waste time and create noise
  • Apply your skills across any LLM - past, present, or future

Course Content

Introduction to Prompting and LLMs
This section lays the groundwork by demystifying what prompting is and how it interacts with Large Language Models (LLMs). You'll learn how these systems interpret inputs, why the way you phrase a prompt matters, and how even small tweaks can yield drastically different results. It's the foundation every AI user needs - clear, simple, and essential before diving into more advanced techniques.

  • What Is Prompting?
  • How Large Language Models Interpret Prompts
  • From Search to Prompt Engineering: Why Prompting Matters
  • System Prompts vs. User Prompts: Roles in Interaction
  • Prompting in Zero-Shot vs. Few-Shot Contexts
  • Introduction to Prompting and LLMs

Building Blocks of Prompting
This section breaks down the core components that make up an effective prompt. From roles and tone to context-setting and formatting tricks like Markdown, you'll explore the tools that help shape your message and steer the AI with clarity. Whether you're aiming for creativity, precision, or control, these building blocks give you the vocabulary and structure to get there.

Prompting Techniques and Patterns
Discover the art behind powerful prompts. This section introduces you to proven techniques and reusable prompt patterns - like chain-of-thought reasoning, roleplay prompting, few-shot examples, and more. You’ll learn when and how to apply each technique to guide the model more effectively and get consistently high-quality responses across different use cases.

Prompt Evaluation and Iteration
Great prompts aren’t written - they’re crafted through testing and refinement. In this section, you’ll learn how to evaluate the quality of your outputs, identify where your prompt falls short, and apply iterative techniques to improve clarity, consistency, and accuracy. You’ll also explore tools and metrics for structured evaluation, turning guesswork into a data-informed process.

Practical Applications and Integration
Move beyond theory and see prompting in action. This section dives into real-world use cases - chatbots, automation, content generation, research workflows - and teaches you how to adapt prompting strategies to different contexts. You’ll also explore how to integrate your prompts into tools, workflows, and APIs for maximum impact.

Prompting by Industry & Persona
Take prompting to the next level with tailored examples across industries and user roles. Whether you're in marketing, education, customer support, or software development, this section shows how to adapt your prompts for maximum impact. Discover how personas shape tone, depth, and structure - and how to make your prompts feel truly human.

Advanced Prompting & Future Directions
Step into the frontier of prompting. This section explores complex multi-turn strategies, persona-based interactions, dynamic prompt chains, and how prompting evolves alongside LLM capabilities. You’ll gain insight into emerging trends, AI agents, and how to future-proof your skills in a rapidly changing landscape.

Bonus: Leveraging Prompt Libraries & Tools
Unlock the full potential of prompting with the right tools. This section introduces curated prompt libraries, browser extensions, and frameworks that streamline your workflow, improve results, and save time. Learn how to build your own reusable prompt vault and integrate tools that supercharge your AI interactions.

Bonus: Prompting Multimodal Models
Explore the next frontier of prompting with multimodal models that understand not just text, but images, audio, and more. This section guides you through effective strategies for interacting with models like GPT-4V, Gemini, and other vision-language systems. Learn how to craft prompts that bridge modalities and unlock richer, more intuitive AI experiences.

Student Ratings & Reviews

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Theo Nehunos
2 days ago
I was personally astonished by the clarity, brevity and scope of the course contents. I have not only learned a huge amount from the lessons but been awakened to areas for further research I could not have envisaged prior to completing this exceptional resource. Congratulations on producing such powerful and educational material and thank you for making it available.
CB
Cristal Brown
6 days ago
Very clear and concise. One subject quickly followed by another directly related. Nice job~Thank you!
JJ. Elmue Da Silva
JJ. Elmue Da Silva
7 days ago
Having taken numerous AI-related courses, I can confidently say that this is the best free course on prompt engineering.

The course provides structured insights into prompt engineering and its practical applications for various roles and contexts. I particularly appreciated how it connected theoretical concepts with real-world prompting challenges, such as adapting tone.

I highly recommend it to anyone starting their AI journey, as well as to experienced individuals looking to expand their knowledge.

Jean Jackson Elmue Da Silva

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