This course contains the use of artificial intelligence.

The 2 Week Prompt Engineering Certification is designed to help learners master one of the most important skills in the age of Generative AI: knowing how to communicate clearly, strategically, and effectively with Large Language Models. Whether you use tools like ChatGPT, Claude, Gemini, Copilot, or AI-powered workplace platforms, the quality of your results depends heavily on the quality of your prompts.

This course begins by explaining how LLMs actually work without unnecessary hype or technical confusion. You will learn the basics of tokens, probabilities, model behavior, and why small changes in wording can dramatically affect AI output. Instead of treating AI like magic, you will understand how to guide it with structure, context, examples, and constraints.

In Week 1, you will build a strong foundation in prompt engineering fundamentals. You will learn the anatomy of a great prompt, including role, task, context, format, tone, length, and output requirements. You will practice turning vague requests into clear, structured instructions that produce more useful responses. The course also introduces core prompt patterns such as zero-shot prompting, few-shot prompting, instruction-based prompting, reusable templates, and structured output design.

You will also learn how to control output quality by setting expectations for tone, format, detail level, audience, and constraints. When prompts fail, you will learn how to debug them using practical iteration frameworks. Through before-and-after examples, you will see how weak prompts can be transformed into high-performing prompts. The Week 1 lab, Prompt Makeover Sprint, gives you hands-on practice improving messy prompts and producing stronger AI outputs.

In Week 2, the course moves into advanced techniques and real-world applications. You will explore reasoning prompts, step-by-step thinking structures, and when reasoning-based prompting is useful or risky. You will learn how to use role-based prompting and persona prompting to guide AI as an analyst, executive, teacher, engineer, researcher, or creative partner.

The course also shows how to prompt for different tasks, including writing, coding, research, summarization, brainstorming, planning, and workflow support. You will learn how to create reusable prompt templates and build prompt-driven workflows that save time across repeated tasks. By the end of the course, you will understand how to combine multiple prompts into practical AI systems for real workplace use.

The final lab, Build Your Prompt OS, helps you create a reusable personal or professional prompt system that can support your daily work. You will leave with a practical toolkit of prompts, templates, frameworks, and workflows that you can immediately apply to business, content creation, learning, coding, research, productivity, and automation.

By completing this certification, you will gain the confidence to use AI tools more effectively, reduce poor outputs, improve productivity, and build a repeatable process for getting high-quality results from modern Generative AI systems.