** Prompt Engineering: Mastering AI Communication from Zero to Expert

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About Course

The course “Prompt Engineering: Mastering AI Communication from Zero to Expert” is designed to help learners understand how to effectively communicate with AI tools like ChatGPT, Claude etc. It starts with simple concepts—explaining how AI works and how it interprets instructions—and gradually builds skills to write clear, structured prompts that generate accurate and useful results. Learners explore practical applications such as writing emails, creating content, summarizing information, solving problems, and automating tasks using AI. 

As the course progresses, it introduces more advanced techniques like refining prompts, using examples, and breaking complex tasks into steps to improve output quality. It emphasizes hands-on practice and real-world use cases so professionals from any background—whether business, technical, or non-technical—can use AI to improve productivity and decision-making. Overall, the course aims to turn learners into confident AI users who can consistently get reliable, high-quality results by giving better instructions to AI tools.

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Course Content

Introduction to Prompt Engineering
Goal: By the end of Chapter 1, students will confidently explain what a prompt is, identify the anatomy of a well-engineered prompt, understand why prompt quality determines output quality, and produce their first structured prompt from scratch. Estimated Time: 3–4 hours | Lessons: 5 | Labs: 2 | Quiz: 1 end-of-chapter quiz

  • a) What is Internet?
    00:00
  • Be an AI Whisperer
  • What is a Prompt?
  • Lab: Your First Comparison [healtcare]
  • Quiz: What is a Prompt?
  • The Race of 100M Users
  • The Rise of LLMs and the Prompt Engineer’s Opportunity
  • Quiz – Understanding the Rise of LLMs
  • Key Learnings: Introduction to Prompt Engineering

Controlling LLM Responses
Chapter Goal: By the end of Chapter 2, students will understand the 6 core LLM output control parameters, know when and why to use each, be able to choose the right parameter combination for any use case, and test their understanding through hands-on labs. Estimated Time: 4–5 hours | Lessons: 6 | Labs: 3 | Quiz: 1 end-of-chapter quiz

The 5 Principles of Prompting — Healthcare Edition
This section teaches you the 5 core principles of prompt engineering — Give Direction, Specify Format, Provide Examples, Evaluate Quality, and Divide Labor — using real hospital scenarios, clinical use cases, and hands-on exercises. No coding required. No prior AI experience needed.

AI Ethics, Safety & Responsible Prompting in Healthcare

Capstone Project — Hospital AI Prompt Engineering Portfolio

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