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Strategic Prompt Engineering: From Fundamentals to Expertise

Strategic Prompt Engineering: From Fundamentals to Expertise

20mIntermediate2026-07-15

Authors

genConnectU

genConnectU

A digital media company specializing in on-demand learning content

Ronsley Vaz

Ronsley Vaz

Course details

AI is only as powerful as the prompts you give it, and learning to craft those prompts is quickly becoming one of the most in-demand skills in the world. In this hands-on course, AI strategist Ronsley Vaz breaks down the art and science of prompt engineering, teaching you how to communicate with AI systems like ChatGPT to get precise, creative, and high-quality results. Discover how to design better prompts, refine outputs, and build reliable systems that produce consistent, high-value results. Move from basic concepts to advanced techniques—like iterative prompting, context chaining, and meta-prompting—while working through exercises and guided workbooks that turn theory into skill. By the end of the course, you’ll be more equipped communicate with AI like a seasoned prompter, and design prompts that deliver results—whether you’re writing, designing, building tools, or running a business.

Learning objectives
Structure prompts so AI consistently delivers clear, accurate, and high-quality outputs instead of random results.
Design prompts using proven frameworks, like the CREATOR method, along with role-based, few-shot, and step-by-step prompting to guide AI toward exactly what you need.
Build systems, not one-off prompts, by creating repeatable workflows using iterative prompting, context chaining, and meta-prompting.

Concepts

Introduction

  • Strategic prompt engineering - From fundamentals to expertise

Getting Started with Prompt Engineering

  • What is prompt engineering
  • The four levels of prompting mastery
  • Common mistakes and how to avoid them

Basic Prompting Techniques - Foundations

  • The prompt formula - The CREATOR framework
  • Core instructional and role-based prompting
  • Few-shot and step-by-step prompting

Improving Output Consistency

  • Controlling output - Format, choice, and redirection
  • Chain of thought - Reasoning step-by-step
  • Getting consistent answers and spotting hallucinations

Building Systems

  • Iterative refinement - Recursive prompting and output evaluation loops
  • Dynamic context and chaining prompts
  • Fine-tuning AI behavior - Meta-prompting and persona tuning
  • Precision and control - Constraint, data-driven, and embedded instructions

Putting It Into Practice & Next Steps

  • Master the multi-cohort targeting framework
  • Daily prompting challenges
  • Your next steps

Conclusion

  • Becoming a prompt engineering master

About us

LyndaKade is a leading learning platform that helps people learn business, software, technology, and creative skills to achieve personal and professional goals.

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