Prompt Engineering for AI

ChatGPT, Gemini, Copilot, Claude, and others

What you'll learn
- Explain the fundamentals of prompt engineering and its role in shaping accurate, useful AI outputs.
- Craft effective prompts by applying clarity, context, and role assignment to guide AI responses.
- Apply iterative refinement techniques to improve responses through structured revisions and layered instructions.
- Use advanced prompting strategies such as chain-of-thought reasoning, tabular format prompting, and fill-in-the-blank methods to achieve specialized results.
- Employ perspective-based and role-based prompting to tailor outputs for specific audiences, industries, or scenarios.
- Analyze AI-generated content through reverse prompting to reconstruct likely inputs and build a reusable prompt library.
- Leverage prompt priming and starter templates to increase consistency, reduce ambiguity, and enhance creativity.
- Apply constructive critique prompting to evaluate and improve drafts, strategies, and technical outputs.
- Design prompts for real-world use cases, including business communication, technical troubleshooting, cloud architecture, education, and creative writing.
- Understand GPT-5’s capabilities and limitations, including improved reasoning, multimodal inputs, and ethical safeguards for responsible AI use.

Requirements
- No prior AI or programming experience is required—just curiosity and a desire to learn how to communicate more effectively with AI systems.

Description
This course provides a comprehensive introduction to the emerging discipline of prompt engineering—an essential skill for anyone looking to effectively use generative AI models like ChatGPT and GPT-5, Gemini, Claude. Participants will explore the art and science of crafting precise, purposeful prompts to produce accurate, useful, and context-aware outputs from AI systems.

Through structured lessons and hands-on examples, learners will master foundational techniques such as role assignment, context framing, and iterative refinement. The course delves into advanced strategies including chain-of-thought prompting, few-shot and zero-shot prompting, tabular format prompting, constructive critique prompting, and the powerful “I want you to act as…” method. Participants will also gain practical insights into prompt priming, perspective prompting, fill-in-the-blank approaches, and reverse prompting, learning how to guide AI step-by-step or work backward from outputs to reconstruct effective inputs.

In addition, the course highlights real-world applications of these techniques across industries such as business, education, cloud architecture, and creative writing. Learners will see how effective prompting improves clarity, boosts productivity, and enhances communication with AI. Special attention is given to the new capabilities of GPT-5, including better reasoning, broader knowledge, multimodal understanding, and safer alignment—making prompt engineering more relevant than ever.

By the end of the program, participants will be equipped with a practical toolkit for designing, testing, and refining prompts to achieve tailored results. Whether you are a professional, student, or AI enthusiast, this course will empower you to harness the full potential of AI by learning how to ask the right questions, in the right way, for the right outcomes.

Who this course is for:
- Professionals and business leaders who want to improve productivity, generate content, and streamline communication with AI.
- IT and cloud specialists seeking to integrate AI into technical workflows, troubleshooting, and solution design.
- Educators and trainers interested in using AI to explain complex concepts, create teaching materials, and support student learning.
- Students and researchers who need to summarize information, generate ideas, or enhance academic writing with AI support.
- Content creators and marketers looking to brainstorm campaigns, draft engaging posts, and tailor messaging for specific audiences.
- AI enthusiasts and early adopters eager to explore advanced prompting techniques and experiment with GPT-5’s newest capabilities.
More Info