Module 1: Introduction to AI and Prompting Before you can write great prompts, you need to understand what you are actually talking to. This module demystifies AI language models and explains why the quality of your input directly determines the quality of your output. Lesson 1.1 — Introduction to AI and LLMs Large language models…
Module 2: Crafting Effective Prompts Now that you understand how AI models work, it is time to build your core prompting framework. This module introduces the 4 Pillars of a Perfect Prompt — a practical structure you can apply to any task, in any tool. Lesson 2.1 — The 4 Pillars of a Perfect Prompt…
Module 3: Advanced Prompting Techniques Once you have mastered the 4 Pillars, you are ready for two of the most powerful techniques in prompt engineering: few-shot prompting and chain-of-thought reasoning. These techniques dramatically improve output quality for complex tasks. Lesson 3.1 — Few-Shot Prompting Few-shot prompting means giving the AI one or more examples of…
Module 4: Real-World Applications Theory is only useful when it translates to action. This module walks through two of the most common and high-value use cases for prompt engineering in the workplace: automating communication and cleaning data. Lesson 4.1 — Automating Email and Communication Email is one of the highest-ROI applications of prompt engineering. The…
Module 5: Practice Labs & Final Challenge The only way to get good at prompt engineering is to practice. This module gives you two structured lab exercises and a final challenge that tests everything you have learned in the course. Lesson 5.1 — Practice Lab: The Marketing Campaign In this lab, you will use prompt…